Microsoft SQL Server Training

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (3 days)

Online Self-paced (24 hours)

Microsoft Power BI Data Analyst PL300 Course Outline

Module 1: Discover Data Analysis

  • Introduction
  • Overview of Data Analysis
  • Roles in Data
  • Tasks of a Data Analyst
  • Check Your Knowledge

Module 2: Get Started Building with Power BI

  • Introduction
  • Use Power BI
  • Building Blocks of Power BI
  • Tour and Use the Power BI Service
  • Knowledge Check

Module 3: Get Data in Power BI

  • Introduction
  • Get Data from Files
  • Get Data from Relational Data Sources
  • Create Dynamic Reports with Parameters
  • Get Data from a NoSQL Database
  • Get Data from Online Services
  • Select a Storage Mode
  • Get Data from Azure Analysis Services
  • Fix Performance Issues
  • Resolve Data Import Errors
  • Exercise - Prepare Data in Power BI Desktop

Module 4: Clean, Transform, and Load Data in Power BI

  • Introduction
  • Shape the Initial Data
  • Simplify the Data Structure
  • Evaluate and Change Column Data Types
  • Combine Multiple Tables into a Single Table
  • Profile Data in Power BI
  • Use Advanced Editor to Modify M Code
  • Exercise - Load Data in Power BI Desktop

Module 5: Design a Semantic Model in Power BI

  • Introduction
  • Work with Tables
  • Create a Date Table
  • Work with Dimensions
  • Define Data Granularity
  • Work with Relationships and Cardinality
  • Resolve Modeling Challenges
  • Exercise - Model Data in Power BI Desktop

Module 6: Add Measures to Power BI Desktop Models

  • Introduction
  • Create Simple Measures
  • Create Compound Measures
  • Create Quick Measures
  • Compare Calculated Columns with Measures
  • Check Your Knowledge
  • Exercise - Create DAX Calculations in Power BI Desktop

Module 7: Add Calculated Tables and Columns to Power BI Desktop Models

  • Introduction
  • Create Calculated Columns
  • Learn about Row Context
  • Choose a Technique to Add a Column

Module 8: Use DAX Time Intelligence Functions in Power BI Desktop Models

  • Introduction
  • Use DAX Time Intelligence Functions
  • Additional Time Intelligence Calculations
  • Exercise - Create Advanced DAX Calculations in Power BI Desktop

Module 9: Optimise a Model for Performance in Power BI

  • Introduction to Performance Optimisation
  • Review Performance of Measures, Relationships, and Visuals
  • Use Variables to Improve Performance and Troubleshooting
  • Reduce Cardinality
  • Optimise DirectQuery Models with Table Level Storage
  • Create and Manage Aggregations

Module 10: Design Power BI Reports

  • Introduction
  • Design the Analytical Report Layout
  • Design Visually Appealing Reports
  • Report Objects
  • Select Report Visuals
  • Select Report Visuals to Suit the Report Layout
  • Format and Configure Visualisations
  • Work with Key Performance Indicators
  • Exercise - Design a Report in Power BI Desktop

Module 11: Configure Power BI Report Filters

  • Introduction to Designing Reports for Filtering
  • Apply Filters to the Report Structure
  • Apply Filters with Slicers
  • Design Reports with Advanced Filtering Techniques
  • Consumption-Time Filtering
  • Select Report Filter Techniques
  • Case Study - Configure Report Filters Based on Feedback

Module 12: Enhance Power BI Report Designs for the User Experience

  • Design Reports to Show Details
  • Design Reports to Highlight Values
  • Design Reports That Behave like Apps
  • Work with Bookmarks
  • Design Reports for Navigation
  • Work with Visual Headers
  • Design Reports with Built-In Assistance
  • Tune Report Performance
  • Optimise Reports for Mobile Use
  • Exercise - Enhance Power BI Reports

Module 13: Perform Analytics in Power BI

  • Introduction to Analytics
  • Explore Statistical Summary
  • Identify Outliers with Power BI Visuals
  • Group and Bin Data for Analysis
  • Apply Clustering Techniques
  • Conduct Time Series Analysis
  • Use the Analyse Feature
  • Create What-If Parameters
  • Use Specialised Visuals
  • Exercise - Perform Advanced Analytics with AI Visuals

Module 14: Create and Manage Workspaces in Power BI

  • Introduction
  • Distribute a Report or Dashboard
  • Monitor Usage and Performance
  • Recommend a Development Life Cycle Strategy
  • Troubleshoot Data by Viewing Its Lineage
  • Configure Data Protection

Module 15: Manage Semantic Models in Power BI

  • Introduction
  • Use a Power BI Gateway to Connect to On-Premises Data Sources
  • Configure a Semantic Model Scheduled Refresh
  • Configure Incremental Refresh Settings
  • Manage and Promote Semantic Models
  • Troubleshoot Service Connectivity
  • Boost Performance with Query Caching (Premium)

Module 16: Create Dashboards in Power BI

  • Introduction to Dashboards
  • Configure Data Alerts
  • Explore Data by Asking Questions
  • Review Quick Insights
  • Add a Dashboard Theme
  • Pin a Live Report Page to a Dashboard
  • Configure a Real-Time Dashboard
  • Set Mobile View
  • Exercise - Create a Power BI Dashboard

Module 17: Implement Row-Level Security

  • Introduction
  • Configure Row-Level Security with the Static Method
  • Configure Row-Level Security with the Dynamic Method
  • Exercise - Enforce Row-Level Security in Power BI

Show moredown

Who should attend this Microsoft Power BI Data Analyst PL300 Course?

This Microsoft Power BI Data Analyst PL300 Training Course is designed for professionals who work with Data Analysis, Business Intelligence, and those responsible for creating insightful reports and dashboards for decision-making. This training course is especially beneficial for these professionals:

  • Data Analysts
  • Business Analysts
  • Data Engineers
  • Business Intelligence Professionals
  • IT Professionals
  • Managers
  • Team Leads

Prerequisites of the Microsoft Power BI Data Analyst PL300 Course

There are no formal prerequisites for the Microsoft Power BI Data Analyst PL300 Training Course. However, a basic understanding of cloud data experience can be beneficial. Recommended knowledge includes core data concepts, working with relational and non-relational Cloud Data, and Data Analysis and visualisation concepts.

Microsoft Power BI Data Analyst PL300 Course Overview

The Microsoft Power BI Data Analyst PL300 Course is designed to equip participants with the skills required to effectively analyse data and create powerful visual reports. In today's data-driven world, the ability to interpret and present data clearly is crucial for informed decision-making. This course offers comprehensive training on Power BI, Microsoft's leading business analytics tool.

Proficiency in Power BI is essential for Data Analysts, Business Intelligence Professionals, and any role involving data interpretation. Mastering this tool allows professionals to transform raw data into meaningful insights, aiding strategic decisions. Those aiming to enhance their data visualisation capabilities and report generation skills will benefit greatly from this course.

This 3-day training provides delegates with hands-on experience in using Power BI to analyse data and create compelling visualisations. Through practical exercises and expert instruction, participants will learn to navigate the Power BI interface, connect to data sources, and design interactive dashboards, ensuring they can apply these skills immediately in their workplace.

Course Objectives

  • To understand the Power BI service and its components
  • To connect to various data sources and import data
  • To clean and transform data for analysis
  • To create and customise data visualisations
  • To design interactive reports and dashboards
  • To share and publish reports within an organisation

After completing the course, delegates will possess a robust understanding of Power BI. They will be able to create and share insightful reports, enabling their organisations to make data-driven decisions more effectively.

Show moredown

What’s included in this Microsoft Power BI Data Analyst PL300 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Microsoft Power BI Data Analyst PL300 Certificate
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Querying Data with Microsoft Transact-SQL DP080 Course Outline

Module 1: Introduction to Transact-SQL

  • Introduction
  • Work with Schemas
  • Explore the Structure of SQL Statements
  • Examine the SELECT Statement
  • Work with Data Types
  • Handle NULLs
  • Exercise - Work with SELECT Statements

Module 2: Sort and Filter Results in T-SQL

  • Introduction
  • Sort Your Results
  • Limit the Sorted Results
  • Page Results
  • Remove Duplicates
  • Filter Data with Predicates
  • Exercise - Sort and Filter Query Results

Module 3: Combine Multiple Tables with JOINs in T-SQL

  • Introduction
  • Understand Joins Concepts and Syntax
  • Use Inner Joins
  • Use Outer Joins
  • Use Cross Joins
  • Use Self Joins
  • Exercise - Query Multiple Tables with Joins

Module 4: Write Subqueries in T-SQL

  • Introduction
  • Understand Subqueries
  • Use Scalar or Multi-Valued Subqueries
  • Use Self-Contained or Correlated Subqueries
  • Exercise - Use Subqueries

Module 5: Use Built-In Functions and GROUP BY in Transact-SQL

  • Introduction
  • Categorise Built-In Functions
  • Use Scalar Functions
  • Use Ranking and Rowset Functions
  • Use Aggregate Functions
  • Summarise Data with GROUP BY
  • Filter Groups with HAVING
  • Exercise - Use Built-In Functions

Module 6: Modify Data with T-SQL

  • Introduction
  • Insert Data
  • Generate Automatic Values
  • Update Data
  • Delete Data
  • Merge Data Based on Multiple Tables
  • Exercise - Modify Data

Show moredown

Who should attend this Querying Data with Microsoft Transact-SQL DP080 Course?

This Querying Data with Microsoft Transact-SQL DP080 Training Course is designed for individuals who want to develop proficiency in querying and manipulating data using the Transact-SQL language within Microsoft SQL Server. This training course is especially beneficial for the following professionals:

  • Database Developers
  • Database Administrators
  • Data Analysts
  • Data Engineers
  • IT Administrators
  • DevOps Engineers
  • Business Analysts

Prerequisites of the Querying Data with Microsoft Transact SQL DP080 Course

There are no formal prerequisites for this Querying Data with Microsoft Transact SQL DP080 Training Course. However, basic familiarity with database concepts and SQL concepts would be beneficial for the delegates.

Querying Data with Microsoft Transact-SQL DP080 Training Course Overview

The Querying Data with Microsoft Transact-SQL DP080 Training Course provides a comprehensive introduction to querying data using Transact-SQL, the primary language used to manage and manipulate data in Microsoft SQL Server. This course is essential for anyone looking to understand the foundations of database querying, crucial for roles in Database Management, Data Analysis, and Software Development.

Proficiency in Transact-SQL is vital for professionals such as Database Administrators, Data Analysts, and Software Developers. Mastery of this language allows these professionals to efficiently query and manage data, ensuring data integrity and optimising database performance. By developing these skills, individuals can significantly enhance their career prospects in data-driven environments.

This 2-day training course equips delegates with the essential skills needed to query data using Microsoft Transact-SQL. Through a combination of theoretical knowledge and practical exercises, participants will learn to write efficient queries, retrieve and manipulate data, and understand key concepts such as joins, subqueries, and functions. This course ensures that delegates can confidently apply Transact-SQL in real-world scenarios.

Course Objectives

  • To understand the fundamentals of Transact-SQL
  • To learn how to write basic and advanced SQL queries
  • To retrieve data from single and multiple tables
  • To use filtering and sorting techniques to refine query results
  • To implement joins to combine data from multiple tables
  • To apply aggregate functions to summarise data

After completing the course, delegates will be proficient in writing and executing Transact-SQL queries, capable of retrieving and manipulating data efficiently, and prepared to apply these skills in real-world scenarios to enhance their professional capabilities.

Show moredown

What’s included in this Querying Data with Microsoft Transact SQL DP080 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Querying Data with Microsoft Transact SQL DP080 Certificate
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Online Self-paced (32 hours)

Important notes about this course: This course and exam has been retired by Microsoft. This course has been replaced with Microsoft Power BI Data Analyst PL300

Analyzing Data with Power BI DA100 Course Outline

Module 1: Introduction to Microsoft Data Analytics

  • Data Analytics and Microsoft
  • What is Power BI?

Lab: Get Started

Module 2: Understand How to Prepare Data in Power BI?

  • Acquire Data from Different Data Sources
  • How to Optimise Performance?
  • Resolving Data Errors

Lab: Preparation of Data in Power BI Desktop

Module 3: Cleaning, Transforming, and Loading Data in Power BI

  • About Data Shaping
  • Understand How to Enhance the Data Structure?
  • What is Data Profiling?

Lab: How to Transform and Load Data?

Module 4: How to Design a Data Model in Power BI?

  • Introduction to Data Modeling
  • Understand Working with Tables
  • What are Dimensions and Hierarchies?

Lab: Data Modelling in Power BI Desktop

  • How to Create Model Relationships?
  • Configure Tables
  • Model Interface Review
  • Make Quick Measures

Lab: Advanced Data Modelling in Power BI Desktop

  • Form Many-to-Many Relationships
  • Row-Level Security

Module 5: Build Measures with DAX in Power BI

  • What is DAX?
  • Data Analysis Expressions (DAX) Context
  • Understand Advanced DAX

Lab: Fundamentals of DAX in Power BI Desktop

  • Form Calculated Tables
  • Make Calculated Columns
  • Create Measures

Lab: Introduction to Advanced DAX in Power BI Desktop

  • Usage of CALCULATE () Function to Manipulate Filter Context
  • Time Intelligence Functions

Module 6: How to Optimise the Model Performance?

  • Optimise DirectQuery Models
  • Understand Creating and Managing Aggregations

Module 7: Overview of Creating Reports

  • Designing a Report
  • Understand How to Enhance the Report?

Lab: Designing a Report in Power BI

  • Make a Live Connection in Power BI Desktop
  • How to Design a Report?
  • Configure Visual Fields ADN Format Properties

Lab: Enhance Power BI Reports with Interaction and Formatting

  • Creating and Configuring Sync Slicers
  • Creating Drill Through Page
  • Apply Conditional Formatting
  • Bookmarks Creation and Usage

Module 8: How to Create Dashboards?

  • Creating a Dashboard
  • About Real-time Dashboards
  • Develop a Dashboard

Lab: Develop a Report in Power BI Desktop - Part 1

  • Create a Dashboard
  • Pin Visuals to a Dashboard
  • Configure a Dashboard Tile Alert
  • Use Q&A to Create a Dashboard Tile

Module 9: Create Paginated Reports in Power BI

  • Paginated Report Overview
  • How to Create Paginated Reports?

Lab: Create a Paginated Report

  • Usage of Power BI Report Builder
  • Designing the Multi-Page Report Layout
  • Data Source and Dataset
  • Creating a Report Parameter
  • Exporting a Report to PDF

Module 10: Implement Advanced Analytics

  • Understand Advanced Analytics
  • Data Insights over AI Visuals

Lab: Data Analysing in Power BI Desktop

  • How to Create Animated Scatter Charts?
  • Use the Visual to Forecast Values
  • Work with 
  • Decomposition Tree Visual
  • Key Influencers Visual

Module 11: Create and Manage Workspaces

  • How to Create a Workspace?
  • Share and Manage the Assets

Lab: Publish and Share Power BI Content

  • Map Security Principals to Dataset Roles
  • Sharing Dashboard
  • Publishing an App

Module 12: Manage Datasets in Power BI

  • Understand Parameters
  • What are Datasets?

Module 13: Row-Level Security

  • Power BI Security

Show moredown

Who should attend this Analysing Data with Power BI DA100 Course?

The Analysing Data with Power BI DA100 Training Course is aimed at harnessing the robust capbilities of Power BI for data visualisations. This course can be helpful for various professionals, including:

  • System Administrators
  • Network Administrators
  • IT Specialists
  • IT Managers
  • Technical Support Specialists
  • IT Consultants
  • Security Administrators
  • Infrastructure Engineers

Prerequisites of the Windows Analysing Data with Power BI DA100 Course

Prerequisites for the Analysing Data with Power BI DA100 Training Course include basic Data Analysis and Business Intelligence knowledge, familiarity with Power BI, understanding data schemas, DAX calculations, and visualisation techniques. Prior Power BI experience is beneficial. Note: This course is now replaced by PL300.

Analysing Data with Power BI DA100 Course Overview

Analysing Data with Power BI DA100 is a comprehensive training course designed to empower professionals with the skills required to harness the power of Microsoft's Power BI. This course covers essential aspects of Data Analysis, visualisation, and Business Intelligence, enabling participants to make informed, data-driven decisions. Given the increasing reliance on Data Analytics in various industries, proficiency in Power BI is crucial for competitive advantage.

Proficiency in Power BI is essential for Data Analysts, Business Analysts, and IT Professionals aiming to enhance their data visualisation and reporting skills. Mastering this tool is vital for those looking to leverage data insights to drive strategic decisions and optimise business processes. The course is particularly beneficial for professionals involved in data-driven roles who need to present data in a clear and actionable format.

This 4-day training provides delegates with hands-on experience in using Power BI, covering data modelling, visualisation, and dashboard creation. Participants will learn to transform raw data into insightful visual reports, helping organisations to interpret data trends and patterns effectively. The practical approach ensures that delegates can immediately apply their new skills to real-world scenarios, enhancing their productivity and analytical capabilities.

Course Objectives

  • To understand the core concepts of Power BI
  • To learn data modelling and data transformation techniques
  • To create interactive visualisations and reports
  • To utilise Power BI services for sharing insights
  • To develop dashboards for monitoring business performance
  • To implement DAX (Data Analysis Expressions) for advanced calculations

After completing the Microsoft SQL Server Training, delegates will be proficient in using Power BI to analyse and visualise data, enabling them to provide valuable insights into their organisations. They will be equipped to create compelling reports and dashboards, driving data-informed decision-making.

Show moredown

What’s included in this Analysing Data with Power BI DA100 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Analysing Data with Power BI DA100 Certificate
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Microsoft Power BI for End Users 55400AC course outline

Module 1: Introduction to Power BI

  • What is Business Intelligence?
  • Introducing Power BI
  • Power BI Tools and Services
  • Power BI Report Server
  • Power BI (Online)
  • Power BI Desktop
  • Case Studies
  • Support and Information
  • Data Stories

Lab: Getting Ready

  • Sign in to Office 365
  • Download Course Files
  • Place Data Sources into OneDrive
  • Create Further User Accounts

Module 2: Requirements Gathering

  • Welcome to House Rules Board Games
  • Beginning a BI Project
  • Grain Statements
  • Data Discovery
  • Refining Information
  • Modeling Data
  • Building Reports
  • Roles
  • Publishing
  • Creating Dashboards
  • Choosing Workspaces
  • Create and Share a Report in Power BI

Lab: Build a Report in Power BI Web

  • Connect to an Excel Spreadsheet
  • Build Visualisations
  • Create a Dashboard for Desktop and Mobile Users
  • Share Your Report and Dashboard

Module 3: Extract, Transform, and Load Data

  • Creating a Project with Power BI Desktop
  • Pinning an Active Project
  • What is in a PBIX File?
  • Connecting to Data Sources
  • Managing Data Connections
  • Refine Data with Power Query
  • Applied Steps
  • M Code Language
  • Designing Your Query
  • Choose Columns
  • Rename Columns
  • Moving Columns
  • Formatting Columns
  • Replacing Values
  • Expanding Related Columns
  • Star Schemas
  • Merge Columns
  • Split Columns
  • Custom and Conditional Columns

Lab: Starting a Project in Power BI Desktop

  • Creating a New PBIX Project File
  • Connecting to Data Sources
  • Use the Query Editor to Refine Data
  • Review the Table Relationships
  • Optional – Connect to an Azure SQL Database

Module 4: Creating a Data Model

  • Understanding Relationships
  • Cardinality
  • Cross Filter Direction
  • Hiding Tables and Columns
  • Formatting Columns
  • Introducing DAX
  • Designing Calculated Columns
  • Creating Measures
  • Adding Lookup Tables
  • Structuring Data with Dimensional Hierarchies
  • Roles and Row Level Security

Lab: Designing a Data Model

  • Hide and Format Table Columns
  • Create Calculated Columns
  • Create Measures
  • Using Geographical Data and Lookup Tables
  • Create a Dimensional Hierarchy

Module 5: Designing Reports

  • Adding Pages and Navigation Buttons
  • Using Shapes, Text, and Images
  • Creating a Theme
  • Adding Visualisations
  • Using Filters and Slicers
  • Controlling Filters
  • Adding Drill Throughs
  • Adding Custom Visualisations
  • Configure Phone Layouts
  • Report Tips

Lab: Creating a Report

  • Creating New Pages and Adding Basic Content
  • Adding and Configuring Visualisations
  • Design Slicers
  • Create Bookmarks and Navigational Buttons

Module 6: Using Workspaces and Dashboards

  • Power BI Licensing
  • My Workspaces
  • App Workspaces
  • Premium Capacity Workspaces
  • Creating a New Workspace
  • Publishing a Project
  • Parallels with Microsoft Excel
  • Publishers and Viewers
  • Reconnecting with Data Sources
  • Introducing the On-Premises Data Gateway
  • Scheduling the Data Refresh Frequency
  • Assigning Security Roles
  • Creating and Populating Dashboards
  • Customising Dashboard Tiles
  • Creating Tiles Using Q&A and Quick Insights
  • Creating a Mobile Dashboard
  • Sharing Reports and Dashboards
  • Publishing Apps in a Workspace
  • Publishing Content to Websites

Lab: Publish and Share Reports and Dashboards

  • Publish Your Project to Power BI
  • Create a Dashboard
  • Use Quick Insights and Pin Visuals
  • Use Q&A to Query Your Data Source
  • Share Your Dashboard with Marketing

Show moredown

Who should attend this Microsoft Power BI for End Users 55400AC Course?

The Microsoft Power BI for End Users 55400AC Training is designed to be accessible, making it a good fit for professionals at various levels of an organisation who are looking to make data-driven decisions. This course can be beneficial for a wide range of professionals, including:

  • Business Analysts
  • Data Enthusiasts
  • Excel Users
  • Non-technical Staff
  • Managers and Executives
  • Sales and Marketing Professionals
  • HR Professionals

Prerequisites of the Microsoft Power BI for End Users 55400AC Course

For the Microsoft Power BI for End Users 55400AC Training, prerequisites generally include basic computer literacy, familiarity with Microsoft Office applications like Excel, and an understanding of fundamental data concepts like tables and charts.

Microsoft Power BI for End Users 55400AC Course Overview

The Microsoft Power BI for End Users 55400AC Course is designed to provide a comprehensive introduction to Power BI, a powerful business analytics tool from Microsoft. This course is highly relevant for today's data-driven business environment, enabling users to transform raw data into meaningful insights and interactive visualisations.

Proficiency in Power BI is crucial for professionals who need to analyse and present data effectively. This course is ideal for Business Analysts, Data Analysts, Project Managers, and any professionals who work with data. Mastering Power BI allows these professionals to make data-driven decisions, enhance productivity, and gain a competitive edge in their respective fields.

This 2-day training equips delegates with practical skills to use Power BI efficiently. Participants will learn how to connect to various data sources, create interactive reports and dashboards, and share insights across their organisation. The hands-on approach ensures that delegates can apply what they learn immediately to their daily tasks, enhancing their data analysis capabilities.

Course Objectives

  • To understand the fundamentals of Power BI
  • To learn how to connect to various data sources
  • To create and manage data models
  • To design interactive and visually appealing reports
  • To use Power BI service for report sharing and collaboration
  • To implement data security and manage permissions

After completing the course, delegates will be proficient in using Microsoft Power BI to transform raw data into meaningful insights. They will be capable of creating interactive and visually appealing reports, empowering their organisations to make data-driven decisions.

Show moredown

What’s included in this Microsoft Power BI for End Users 55400AC Course?

  • World-Class Training Sessions from Experienced Instructors
  • Microsoft Power BI for End Users 55400AC Certificate
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (3 days)

Online Self-paced (24 hours)

Introduction to SQL Databases Training 10985C Course Outline

Module 1: Introduction to Databases

  • Introduction to Relational Databases
  • Retrieve Data from a Relational Database by using SQL

Lab 1: Use the SELECT Statement to Retrieve Data from a Database

  • Use the SELECT Statement to Retrieve Data from a Database

Module 2: Database Tables

  • Identify and use Microsoft SQL Server Data Types
  • Create Tables with SQL
  • Altering and Dropping a Table
  • Collect Information from Multiple Tables by using Joins and Views

Lab 1: Create and Alter a Table in Microsoft SQL Server

  • Create and Alter a Table in Microsoft SQL Server
  • Create and Retrieve a View that Uses the JOIN Statement in Microsoft SQL Server

Lab 2: Create and Alter a Table in Microsoft SQL Server

  • Create and Alter a Table in Microsoft SQL Server

Lab 3: Create and Retrieve a View that Uses the JOIN Statement in Microsoft SQL Server

  • Create and Retrieve a View that Uses the JOIN Statement in Microsoft SQL Server

Module 3: Add and Update Data

  • Insert, Update, and Delete Information

Lab 1: Add and Change Data in SQL Server

  • Add and Change Data in SQL Server

Lab 2: Create and use Stored Procedures in Microsoft SQL Server

  • Create and use Stored Procedures in Microsoft SQL Server

Module 4: Entity Relationships

  • Model Entity Relationships
  • Design for Referential Integrity What is Referential Integrity?

Lab 1: Create an Entity Relationship Diagram in Microsoft SQL Server Management Studio

  • Create an Entity Relationship Diagram in Microsoft SQL Server Management Studio

Module 5: Normalisation and Denormalisation

  • Normalisation
  • Denormalisation

Lab 1: Denormalise a Table by Adding a Redundant Column of Computed Data

  • Denormalise a Table by Adding a Redundant Column of Computed Data

Module 6: Query Performance and Safety

  • Indexes
  • Write Performant SQL Code
  • Concurrency

Lab 1: Create Indexes and Consult Execution Plans in Microsoft SQL Server Management Studio

  • Create Indexes and Consult Execution Plans in Microsoft SQL Server Management Studio

Show moredown

Who should attend this Introduction to SQL Databases Training 10985C Course?

This Introduction to SQL Databases Training 10985C Course is designed for individuals who want to develop a foundational understanding of working with SQL databases and querying data. This training course is beneficial for the following professionals:

  • Administrative Assistants
  • Database Administrators
  • Data Analysts
  • IT Professionals
  • Clerical Staff
  • Web Developers
  • Researchers

Prerequisites of the Introduction to SQL Databases Training 10985C Course

There are no formal prerequisites for this Introduction to SQL Databases Training 10985C Course. 

Introduction to SQL Databases Training 10985C Course Overview

The Introduction to SQL Databases Training 10985C Course provides a comprehensive foundation in SQL databases, a critical component for managing and querying data in today's data-driven world. This one-day training is designed to equip participants with essential skills to understand and utilise SQL databases effectively, ensuring they can handle data efficiently and accurately.

Proficiency in SQL databases is crucial for Data Analysts, Database Administrators, and IT Professionals. Mastering SQL ensures that professionals can efficiently retrieve and manipulate data, which is essential for decision-making and strategic planning. This course is particularly beneficial for those aiming to advance their careers in data management and analysis.

This 3-day training will empower delegates with hands-on experience in SQL databases. Participants will learn through practical exercises, enabling them to apply SQL commands and manage data effectively. The course is structured to provide a thorough understanding of SQL fundamentals, ensuring delegates gain the skills needed to work confidently with databases.

Course Objectives

  • To understand the basics of relational databases
  • To learn the SQL language and its practical applications
  • To execute data queries to retrieve specific information
  • To perform data manipulation, including inserting, updating, and deleting records
  • To create and manage database tables and schemas
  • To understand and implement data integrity and constraints

After completing the course, delegates will receive a certification, validating their SQL database skills and enhancing their professional credentials. This certification will open up new opportunities in data management and analysis fields.

Show moredown

What’s included in this Introduction to SQL Databases Training 10985C Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Introduction to SQL Databases Training 10985C Certificate
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft Certifications (Microsoft Partner) course is accredited by Microsoft

Online Instructor-led (4 days)

Online Self-paced (32 hours)

Accelerated SQL Server 2016 Integration Services Course Outline

Module 1: SSIS Overview and Core Features

  • Introduction to Business Intelligence (BI)
  • Tools for Business Intelligence (BI)
  • Introduction to Data Integration
  • SSIS Features

Module 2: Data Warehousing

  • Dimensional Modelling
  • Dimensional Modelling Rules
  • Data Preparation for Advanced Analytics

Module 3: SSIS Control Flow Objects and Features

  • What is Control Flow?
  • Control Flow Concepts
  • Types of Control Flow Elements
  • SSIS Control Flow Tasks
  • SSIS Control Flow Containers
  • Control Flow Objects
  • Group or Ungroup Components
  • Using the Control Flow to Orchestrate SSIS Execution

Module 4: Extracting, Transforming and Loading Data Using SSIS Data Flows

  • SSIS Data Flow Task
  • Data Flow Path
  • Data Connection Managers
  • Data Flow Components

Module 5: Working with Files, Importing and Exporting File Data

  • File Connection Manager
  • Add and Configure a Flat File Connection Manager
  • Loading Data into Files
  • Excel Connection Manager

Module 6: Optimising Data Extraction and Data Loading

  • Change Tracking
  • Change Data Capture

Module 7: Data Quality and Cleansing

  • Data Quality
  • Data Profiling
  • Data Quality Services
  • Fuzzy Lookup Transformation
  • Data Profiling Task in SSIS

Module 8: Advanced Enterprise Information Management

  • Script Task and Script Component
  • Text Mining
  • Advanced Analytics

Module 9: Dimension ETL with SSIS

  • Dimension ETL Theory
  • SQL Server Temporal Tables
  • SSIS Slowly Changing Dimension Wizard
  • Slowly Changing Dimension Transformation

Module 10: Fact ETL with SSIS

  • Fact Table ETL Theory
  • Advanced Fact Table Techniques

Module 11: Project Deployment Model: Execution and Reporting

  • Pivot Transformation

Module 12: Processing SSAS Objects in SSIS

  • SSAS Tabular and Multidimensional
  • Tabular Model Designer
  • DAX for Multidimensional Models
  • Processing Methods in SSIS

Module 13: Project Deployment

  • Project Deployment Model
  • Create the SSIS Catalog
  • Monitoring
  • SSIS Master Package

Module 14: Package Deployment

  • Package Deployment Model
  • Deployment to the SSIS Package Store
  • Monitor Running Packages

Module 15: Transactions and Restartability

  • Using Breakpoints in SSDT
  • Implementing Transactions in SSIS
  • Using SQL Server Database Snapshots
  • Restart Packages by Using Checkpoints
  • Responding to Events

Module 16: Optimisation and Scalability

  • Leveraging the Data Flow
  • Transact-SQL
  • Data Flow Tasks
  • SSIS Optimisation Techniques
  • SSIS Performance Troubleshooting

Show moredown

Who should attend this Accelerated SQL Server 2016 Integration Services Course?

This Accelerated SQL Server 2016 Integration Services Training Course is designed for professionals who work with Data Integration, ETL development, and those who need to efficiently design and manage data workflows using SSIS (SQL Server Integration Services). This training course is beneficial for the following professionals:

  • ETL Developers
  • Data Engineers
  • Data Analysts
  • Database Developers
  • IT Administrators
  • Business Analysts
  • DevOps Engineers

Prerequisites of the Accelerated SQL Server 2016 Integration Services Course

There are no formal prerequisites for this Accelerated SQL Server 2016 Integration Services Training Course. However, a foundational understanding of database and SQL concepts would be beneficial for the delegates.

Accelerated SQL Server 2016 Integration Services Course Overview

The Accelerated SQL Server 2016 Integration Services Course is designed to provide an intensive, hands-on learning experience for database professionals. This one-day course delves into the core features and functionalities of SQL Server Integration Services (SSIS), enabling delegates to efficiently manage data integration and transformation tasks.

Proficiency in SQL Server Integration Services is crucial for Data Professionals seeking to enhance their capabilities in data warehousing, ETL (Extract, Transform, Load) processes, and data migration. This course is particularly beneficial for Database Administrators, Data Analysts, and Developers who aim to streamline their data management workflows and improve their technical proficiency in SSIS.

This 4-day training will provide delegates with comprehensive knowledge and practical skills through immersive exercises and real-world scenarios. Participants will learn how to design and implement SSIS packages, automate administrative tasks, and troubleshoot common issues. The hands-on approach ensures that attendees can apply their newly acquired skills directly to their professional roles.

Course Objectives

  • To understand the architecture and components of SQL Server Integration Services
  • To design and develop SSIS packages for data integration
  • To implement control flow and data flow in SSIS packages
  • To manage SSIS package execution and security
  • To troubleshoot and debug SSIS packages effectively
  • To integrate SSIS with other SQL Server features

After completing the course, delegates will receive a certification validating their expertise in SQL Server 2016 Integration Services. This certification will enhance their professional credentials and demonstrate their capability to manage complex data integration tasks efficiently.

Show moredown

What’s included in this Accelerated SQL Server 2016 Integration Services Course?

  • World-Class Training Sessions from Experienced Instructors
  • Accelerated SQL Server 2016 Integration Services Certificate
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (3 days)

Online Self-paced (24 hours)

Writing Analytical Queries for Business Intelligence 55232A Training Course Outline

Module 1: Introduction to TSQL for Business Intelligence

Module 2: Turning Table Columns into Variables for Analysis: SELECT List Expressions, WHERE, and ORDER BY

  • Turning Columns into Variables for Analysis
  • Column Expressions Data Types and Built-in Functions
  • Column Aliases
  • Data Type Conversions
  • Built-in Scalar Functions
  • Table Aliases
  • The WHERE Clause
  • ORDER BY
  • Lab 2 - Write Queries

Module 3: Combining Columns from Multiple Tables into a Single Dataset: The JOIN Operators

  • Primary Keys Foreign Keys and Joins
  • Understanding Joins:
    • Part 1: CROSS JOIN and the Full Cartesian Product
    • Part 2: The INNER JOIN
    • Part 3: The OUTER JOINS
    • Part 4: Joining more than Two Tables
    • Part 5: Combining INNER and OUTER JOINs
  • Combining JOIN Operations with WHERE and ORDER BY
  • Lab 3 - Write SELECT Queries

Module 4: Creating an Appropriate Aggregation Level Using GROUP BY

  • Identifying Required Aggregation Level and Granularity
  • Aggregate Functions
  • GROUP BY
  • HAVING
  • Order of Operations in SELECT Queries
  • Lab 4 - Write Queries

Module 5: Subqueries, Derived Tables and Common Table Expressions

  • Non-Correlated and Correlated Subqueries
  • Derived Tables
  • Common Table Expressions
  • Lab 5 - Write Queries

Module 6: Encapsulating Data Retrieval Logic

  • Views
  • Table-Valued Functions
  • Stored Procedures
  • Creating Objects for Read-Access Users
  • Creating Database Accounts for Analytical Client Tools
  • Lab 6

Module 7: Getting Your Dataset to the Client

  • Connecting to SQL Server and Submitting Queries from Client Tools
  • Connecting and Running SELECT Queries from:
    • Excel
    • Power BI
    • RStudio
  • Exporting Datasets to Files using
  • Results Pane from SSMS
  • The bcp Utility
  • Import/Export Wizard
  • Lab 7

Show moredown

Who should attend this Writing Analytical Queries for Business Intelligence 55232A Training?

The Writing Analytical Queries for Business Intelligence 55232A Course is typically intended for individuals who work in roles that involve using data analysis and business intelligence tools to extract valuable insights from data. This training is suitable for:

  • Business Analysts
  • Data Analysts
  • Reporting Professionals
  • Business Intelligence Developers
  • Data Scientists
  • Data Enthusiasts
  • Database Administrators

Prerequisites of the Writing Analytical Queries for Business Intelligence 55232A Training

In the Writing Analytical Queries for Business Intelligence 55232A Course, delegates must have knowledge of data analysis and business intelligence, a basic understanding of the Windows operating system, and a fundamental grasp of relational database management systems like SQL Server.

Writing Analytical Queries for Business Intelligence 55232A Training Course Overview

The Writing Analytical Queries for Business Intelligence 55232A Course is designed to empower professionals with the skills to craft precise analytical queries for business intelligence. In today's data-driven world, the ability to extract meaningful insights from vast datasets is crucial for informed decision-making. This course provides foundational knowledge essential for leveraging business intelligence tools effectively.

Proficiency in Writing Analytical Queries is vital for transforming raw data into actionable intelligence. Mastery of this skill allows professionals to enhance organisational decision-making and strategic planning. This course is particularly beneficial for Data Analysts, Business Intelligence Professionals, and IT Specialists who aim to optimise their data query capabilities and contribute to their organisation’s data-driven initiatives.

This intensive 3-day training equips delegates with practical skills and knowledge to write effective analytical queries. Through hands-on exercises and real-world examples, participants will learn to optimise query performance, manage data efficiently, and generate accurate reports. By the end of the course, delegates will be well-prepared to handle complex data queries and support their organisation’s business intelligence needs.

Course Objectives

  • To understand the fundamentals of analytical querying
  • To learn the syntax and structure of SQL queries
  • To explore various data aggregation techniques
  • To improve query performance and efficiency
  • To manage and manipulate datasets effectively
  • To generate accurate and meaningful business reports

After completing this course, delegates will have the skills to write efficient analytical queries, significantly enhancing their ability to support business intelligence operations and drive data-informed decision-making within their organisations.

Show moredown

What's included in this Writing Analytical Queries for Business Intelligence 55232A Training?

  • World-Class Training Sessions from Experienced Instructors
  • Writing Analytical Queries for Business Intelligence 55232A Certificate
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (5 days)

Online Self-paced (40 hours)

SQL Server Integration Services 55321AC Training Course Outline

Module 1: SSIS Overview

  • Import/Export Wizard
  • Exporting Data with the Wizard
  • Common Import Concerns
  • Quality Checking Imported/Exported Data
  • Lab

Module 2: Working with Solutions and Projects

  • Working with SQL Server Data Tools
  • Understanding Solutions and Projects
  • Working with the Visual Studio Interface
  • Lab

Module 3: Basic Control Flow

  • Working with Tasks
  • Understanding Precedence Constraints
  • Annotating Packages
  • Grouping Tasks
  • Package and Task Properties
  • Connection Managers
  • Favourite Tasks
  • Lab

Module 4: Common Tasks

  • Analysis Services Processing
  • Data Profiling Task
  • Execute Package Task
  • Execute Process Task
  • Expression Task
  • File System Task
  • FTP Task
  • Hadoop Task
  • Script Task Introduction
  • Send Mail Task
  • Web Service Task
  • XML Task
  • Lab

Module 5: Data Flow Sources and Destinations

  • Data Flow Task
  • Data Flow SSIS Toolbox
  • Working with Data Sources
  • SSIS Data Sources
  • Working with Data Destinations
  • SSIS Data Destinations
  • Lab

Module 6: Data Flow Transformations

  • Transformations
  • Configuring Transformations
  • Lab

Module 7: Making Packages Dynamic

  • Features for Making Packages Dynamic
  • Package Parameters
  • Project Parameters
  • Variables
  • SQL Parameters
  • Expressions in Tasks
  • Expressions in Connection Managers
  • After Deployment
  • How It All Fits Together
  • Lab

Module 8: Containers

  • Sequence Containers
  • For Loop Containers
  • Foreach Loop Containers
  • Lab

Module 9: Troubleshooting and Package Reliability

  • Understanding MaximumErrorCount
  • Breakpoints
  • Redirecting Error Rows
  • Logging
  • Event Handlers
  • Using Checkpoints
  • Transactions
  • Lab

Module 10: Deploying to the SSIS Catalog

  • SSIS Catalog
  • Deploying Projects
  • Working with Environments
  • Executing Packages in SSMS
  • Executing Packages from the Command Line
  • Deployment Model Differences
  • Lab

Module 11: Installing and Administering SSIS

  • Installing SSIS
  • Upgrading SSIS
  • Managing the SSIS Catalog
  • Viewing Built-in SSIS Reports
  • Managing SSIS Logging and Operation Histories
  • Automating Package Execution
  • Lab

Module 12: Securing the SSIS Catalog

  • Principals
  • Securables
  • Grantable Permissions
  • Granting Permissions
  • Configuring Proxy Accounts
  • Lab

Show moredown

Who should attend this SQL Server Integration Services 55321AC Training?

The SQL Server Integration Services 55321AC Course is designed for individuals and professionals interested in learning how to use SQL Server Integration Services (SSIS) to design, implement, and manage data integration solutions. This course is particularly suitable for:

  • Data Engineers
  • ETL (Extract, Transform, Load) Developers
  • Database Administrators
  • Business Intelligence Developers
  • Data Analysts
  • Data Integration Specialists
  • Database Architects

Prerequisites of the SQL Server Integration Services 55321AC Training

There are no formal prerequisites for attending this SQL Server Integration Services 55321AC Course.

SQL Server Integration Services 55321AC Training Course Overview

The SQL Server Integration Services (SSIS) 55321AC Course provides a comprehensive introduction to the powerful data integration and transformation tool from Microsoft. Designed for professionals who work with SQL Server databases, this course covers essential SSIS concepts, components, and techniques, equipping delegates with the skills to handle data migration, integration, and workflow applications efficiently.

Proficiency in SSIS is crucial for Database Administrators, Data Analysts, and IT Professionals involved in data management and business intelligence. Mastering SSIS enables these professionals to streamline data processes, ensure data quality, and support decision-making processes within their organisations. This course is particularly beneficial for those seeking to enhance their data handling capabilities and advance their careers in data-related roles.

This 5-day training course offers a hands-on approach, enabling delegates to gain practical experience in using SSIS. Participants will learn to create, deploy, and manage SSIS packages, automate data workflows, and troubleshoot common issues. By the end of the course, delegates will be proficient in utilising SSIS to address complex data integration challenges and optimise their organisation's data operations.

Course Objectives

  • To understand the core components and architecture of SSIS
  • To create and configure SSIS packages for data integration
  • To implement data flow tasks and transformations
  • To manage data sources and destinations effectively
  • To automate SSIS package execution and workflows
  • To optimise SSIS package performance for large data sets

After completing the course, delegates will have the confidence and skills to design, deploy, and manage robust SSIS packages, enhancing their ability to handle data integration tasks efficiently and effectively.

Show moredown

What's Included in this SQL Server Integration Services 55321AC Training?

  • World-Class Training Sessions from Experienced Instructors
  • SQL Server Integration Services 55321AC Certificate
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Online Self-paced (32 hours)

SQL Server 2014 Performance Tuning and Optimisation 55144BC Training Course Outline

Module 1: SQL 2014 Architecture

  • New Cardinality Estimator
  • Memory-Optimised Tables
  • Understanding Performance for Developers
  • Understanding Start-up Parameters
  • Start-up Stored Procedures
  • Database Structures
  • Instant File Initialisation
  • How SQL Stores Data?
  • How SQL Locates Data?

Lab: SQL 2014 Architecture

  • Configuring Compatibility Level
  • Start-up Parameter
  • Start-up Stored Procedure
  • Instant File Initialisation

Module 2: Database Engine

  • Four Important Concepts
  • Temporary Tables Internals
  • Concurrency
  • Transactions
  • Isolation Levels
  • SQL Server Locking Architecture
  • SQL and Storage Area Networks (SAN)
  • SQL on VMs
  • SQLIO Utility
  • Partitioned Tables and Indexes

Lab: Database Engine

  • Table-Valued Parameter
  • Transactions
  • Vertically Partitioned Table Using Code
  • Partitioning with Filegroups
  • Partitioning Wizard

Module 3: SQL Performance Tools

  • Resource Governor
  • Activity Monitor
  • Live Query Statistics
  • Monitoring SQL with Transact-SQL
  • Dynamic Management Objects (DMOs) and Performance Tuning

Lab: SQL Performance Tools

  • Resource Governor
  • Activity Monitor
  • sp_who2
  • Performance DMVs

Module 4: Query Optimising and Operators

  • Tuning Process
  • Performance Monitor Tool
  • SQL Query Processing Steps
  • Understanding Execution Plans
  • SET STATISTICS TIME and SET STATISTICS IO
  • Data Access Operators
  • Troubleshooting Queries

Lab: Query Optimising and Operators

  • Performance Monitor (perfmon)
  • Estimated vs Actual Plans and XML Plans
  • Viewing a Non-Trivial Execution Plan
  • SET STATISTICS TIME and SET STATISTICS IO
  • Data Access Operators
  • DMVs
  • View Information About Extended Events
  • Wizard Templates
  • Creating a Session Without a Wizard
  • Configuring MDW and Viewing Reports

Module 5: Understanding Indexes

  • Introduction to Indexes
  • Index Types by Storage
  • Index Types by Column Designation
  • Creating and Altering Indexes
  • Metadata
  • Data Management Views for Indexing
  • Database Engine Tuning Advisor
  • Index Data Management Objects
  • SQL Server Fragmentation
  • Patterns
  • Index Storage Strategies
  • Indexed Views
  • Monitoring Indexes
  • Index Dynamic Management Objects (DMOs)

Lab: Understanding Indexes

  • Create Indexes
  • Index Metadata
  • Database Tuning Advisor
  • Missing Index DMOs
  • Fragmentation and Page Splits
  • Data Compression
  • Indexed Views
  • DMO Index Stats

Module 6: Understanding Statistics

  • Statistics
  • Cardinality Estimator
  • Incremental Statistics
  • Computed Columns Statistics
  • Filtered Statistics
  • Maintenance

Lab: Understanding Statistics

  • Statistics Objects
  • Histogram
  • New Vs Old Cardinality Estimator
  • Incremental Statistics
  • Computed Columns
  • Filtered Statistics
  • Ascending Keys
  • Statistics Maintenance Plan

Module 7: In-Memory Database

  • Architecture
  • Tables and Indexes
  • Natively Compiled Stored Procedures
  • Restrictions
  • Analyse Migrate Report Tool
  • In-Memory Data Management Views (DMV)

Lab: In-Memory Database

  • Creating an In-Memory Enabled Database with Code and SSMS
  • Creating a Memory-Optimised Table
  • View Hash Index
  • Natively Compiled Stored Procedure
  • AMR Tool
  • In-Memory DMVs

Module 8: SQL Profiler and SQL Trace

  • SQL Trace
  • SQL Trace Architecture
  • SQL Server Profiler

Lab: SQL Profiler and SQL Trace

  • SQL Trace Default Template
  • SQL Profiler Tuning Template
  • Create a Template for Slow Running Queries
  • Identifying Long Running Queries
  • Using Profiler to Detect Deadlocks
  • Use Profiler to Detect a Blocked Process

Module 9: Query Issues and Hints

  • Query Hints
  • Plan Guides
  • Plan To Freeze
  • Join Orders

Lab: Query Issues and Hints

  • Create and Test a Plan Guide
  • Allow SQL Profiler to Help Create a Plan
  • Plan To Freeze

Show moredown

Who should attend this SQL Server 2014 Performance Tuning and Optimisation 55144BC Training?

The SQL Server 2014 Performance Tuning and Optimisation 55144BC Course is intended for database professionals and IT personnel responsible for managing and maintaining SQL Server 2014 databases. This course is particularly suitable for:

  • Database Administrators
  • SQL Server Developers
  • Systems Administrators
  • Database Analysts
  • IT Managers
  • Database Architects
  • Application Developers

Prerequisites of the SQL Server 2014 Performance Tuning and Optimisation 55144BC Training

There are no formal prerequisites for attending SQL Server 2014 Performance Tuning and Optimisation 55144BC Course.

SQL Server 2014 Performance Tuning and Optimisation 55144BC Training Course Overview

The SQL Server 2014 Performance Tuning and Optimisation 55144BC Course provides an in-depth understanding of performance tuning and optimisation techniques crucial for managing SQL Server environments efficiently. This course is designed to equip participants with the skills necessary to enhance database performance, ensuring robust and reliable database systems.

Proficiency in SQL Server performance tuning is essential for Database Administrators, Developers, and IT Professionals who manage SQL Server databases. Mastering these skills is vital for optimising query performance, reducing server load, and ensuring high availability and scalability of database applications. Professionals in these roles should aim to develop expertise in SQL Server performance tuning to maintain efficient database systems.

This comprehensive 4-day training course will empower delegates with the knowledge and practical skills needed to identify and resolve performance issues in SQL Server 2014. Through hands-on exercises and expert-led discussions, participants will learn to apply best practices and advanced techniques to optimise SQL Server performance, leading to improved system efficiency and productivity.

Course Objectives

  • To understand the fundamentals of SQL Server performance tuning and optimisation
  • To identify and analyse performance bottlenecks in SQL Server 2014
  • To implement indexing strategies to enhance query performance
  • To utilise SQL Server Profiler and Extended Events for monitoring
  • To apply best practices for SQL Server configuration and maintenance
  • To optimise SQL Server memory and CPU usage

After completing this course, delegates will be able to effectively tune and optimise SQL Server 2014 for enhanced performance and efficiency, ensuring high availability and scalability of database applications, leading to improved overall system performance and reliability.

Show moredown

What's Included in this SQL Server 2014 Performance Tuning and Optimisation 55144BC Training?

  • World-Class Training Sessions from Experienced Instructors
  • SQL Server 2014 Performance Tuning and Optimisation 55144BC Certificate
  • Digital Delegate Pack

Show moredown

Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on +1 6474932992 or Inquire.

Package deals for Microsoft SQL Server Training

Our training experts have compiled a range of course packages on a variety of categories in Microsoft SQL Server Training, to boost your career. The packages consist of the best possible qualifications with Microsoft SQL Server Training, and allows you to purchase multiple courses at a discounted rate.

Swipe for more. Don’t miss out!

Microsoft SQL Server Training FAQs

Microsoft SQL Server is a relational database management system developed by Microsoft. It supports a variety of transaction processing, business intelligence, and analytics applications in corporate IT environments, providing robust data storage and management capabilities.
Microsoft SQL Server Training Certification enhances career prospects, validates expertise in database management, boosts earning potential, and improves job performance. It demonstrates proficiency in SQL Server technologies, leading to increased job opportunities and recognition in the industry.
These Microsoft SQL Server Courses are ideal for Database Administrators, IT Professionals, Data Analysts, Developers, and anyone looking to enhance their skills in managing, maintaining, and optimising SQL Server databases in various business environments.
Microsoft SQL Server Training Course typically requires a basic understanding of database concepts, familiarity with the Windows operating system, and some experience with programming or query languages. Prior exposure to SQL can be beneficial for better comprehension of course materials.
The Knowledge Academy provides flexible self-paced training for these Microsoft SQL Server Training Courses. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.
Microsoft SQL Server Courses range from beginner to advanced levels, including foundational courses for novices, intermediate courses focusing on complex queries and database management, and advanced courses covering high-level administration, performance tuning, and security features.
Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after this course. Our customer support team is available to assist and promptly resolve any issues you may encounter.
This Microsoft SQL Server Online Course is a 1-5 day training course during which delegates participate in intensive learning sessions that cover various course topics.
In this Introduction to SQL Server Course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
After completing this Microsoft SQL Server Training Course, you can pursue roles such as Database Administrator, SQL Developer, Data Analyst, Business Intelligence Developer, Data Engineer, IT Consultant, and System Administrator, focusing on database management, development, and data analysis.
Yes, we provide corporate training for this Microsoft SQL Server Training, tailored to fit your organisation’s requirements.
The Knowledge Academy is the Leading global training provider for Microsoft SQL Server Training.
The training fees for Microsoft SQL Server Training in Canada starts from CAD3895.
Show more down

Why we're the go to training provider for you

icon

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

icon

Trusted & Approved

We are accredited by PeopleCert on behalf of AXELOS

icon

Many delivery methods

Flexible delivery methods are available depending on your learning style.

icon

High quality resources

Resources are included for a comprehensive learning experience.

barclays Logo
deloitte Logo
Thames Water Logo

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

santander logo
bmw Logo
Google Logo
cross

OUR BIGGEST SPRING SALE!

Special Discounts

red-starWHO WILL BE FUNDING THE COURSE?

close

close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.

close

close

Press esc to close

close close

Back to course information

Thank you for your enquiry!

One of our training experts will be in touch shortly to go overy your training requirements.

close close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.