Microsoft SQL Server Training

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 Analyzing 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 Analyzing Data with Power BI DA100 Course?

The Analyzing Data with Power BI DA100 Course is aimed at harness 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 Analyzing Data with Power BI DA100 Course

The prerequisites required for the Analyzing Data with Power BI DA100 Course are:

  • Basic understanding of data analysis and business intelligence concepts
  • Familiarity with Microsoft Power BI and its functionalities
  • Understanding of data schemas, DAX calculations, and visualisation techniques
  • Prior working experience in Power BI is advantageous but not mandatory

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 Overview

Power BI (Business Intelligence) is a business analytics interactive service which is provided by Microsoft and assists individuals to turn data into a business opportunity with the help of data visualisation and analytics tools for BI. This service allows users to derive better business decisions by analyzing their enterprise data. By using Power BI service, individuals can create dashboards or reports that will track the metrics, and it will also help them to get a variety of data in the cloud systems. Microsoft’s Power BI is a powerful analytics tool that allows companies or enterprises of all sizes to analyse data and share different insights. With this Microsoft service, enterprises can monitor their business performance more closely and get immediate results with real-time dashboards available for every device. This is an extremely vast field which is currently being implemented in most of the organisations.

This 4-day Analyzing Data with Power BI (DA-100) training course will provide delegates with comprehensive knowledge of basic as well as advanced concepts such as what is data analytics, acquiring data from various sources, and how to create reports. They will get familiar with setting measures using DAX (Data Analysis Expressions), how to create dashboards, managing workspaces and datasets in Power BI. This training will contain different labs with different topics which will help you to get hands-on practical experience and knowledge as well.

Delegates will also learn the following essential topics:

  • Data analytics and Microsoft
  • Enhance the data structure
  • Introduction to data modelling
  • Working with tables
  • Real-time dashboards
  • Security in Power BI
  • Data insights through AI visuals

After attending this Analyzing Data with Power BI (DA-100) training course, delegates will gain knowledge about creating, transforming, and loading data with the help of Power BI tool. Delegates will be able to optimise the performance, resolve data errors, and improve the reports for the business growth. They will also be able to work on advanced DAX, different hierarchies for the data model, perform advanced analytics, and more which will help them to enhance their knowledge and skills for getting a job in this technical field.

Show moredown

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

  • World-Class Training Sessions from Experienced Instructors
  • 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

Within this Microsoft training course, you will learn the following modules:

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 Training Course?

This Querying Data with Microsoft Transact-SQL DP080 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 Training Course

There are no formal prerequisites for this Querying Data with Microsoft Transact SQL DP080 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

Transact SQL is a query language exclusive to Microsoft SQL and Sybase that extends SQL (Structured Query Language) with features such as row processing, variable declaration, transaction control, and exception handling. Studying Querying Data with Microsoft Transact-SQL DP080 Training course help learners to effectively querying data with T-SQL. It allows users to incorporate programming logic into the database. It helps individuals to uniform and secure the data access from the database in nature. This training will help learners to expand their skills and to undertake a variety of tremendous job opportunities in various international companies.   

This 2-day Querying Data with Microsoft Transact-SQL DP080 training course will cover necessary topics to help delegates become fully familiar with the T-SQL. During this training, they will learn about how to use built-in functions. They will also learn about scalar functions, sort and filter data returned by SELECT queries, get started with SQL Server query tools, write queries in T-SQL, group aggregated results, sort query results, insert data into tables, and many more. Our highly professional trainer with years of experience in teaching Microsoft courses will conduct this training course and will help you get a complete understanding of T-SQL.

This training will cover various essential topics, such as: 

  • Using subqueries
  • Built-in functions
  • Modifying and deleting data
  • Using the SELECT statement
  • Modify data

After attending the Querying Data with Microsoft Transact-SQL DP080 Training course, delegates will be able to sort and filter data returned by SELECT queries. They will also be able to modify and delete data.

Show moredown

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

  • World-Class Training Sessions from Experienced Instructors
  • 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)

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: Optimize a Model for Performance in Power BI

  • Introduction to Performance Optimization
  • Review Performance of Measures, Relationships, and Visuals
  • Use Variables to Improve Performance and Troubleshooting
  • Reduce Cardinality
  • Optimize 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 Visualizations
  • 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
  • Optimize 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 Analyze Feature
  • Create What-If Parameters
  • Use Specialized 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 Training Course?

This Microsoft Power BI Data Analyst PL300 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 Training Course

There are no formal prerequisites for this Microsoft Power BI Data Analyst PL300 Course. However, experience in working with data in the cloud can be beneficial for the delegates.

  • ​Understanding core data concepts
  • Knowledge of working with relational data in the cloud
  • Knowledge of working with non-relational data in the cloud
  • Knowledge of data analysis and visualisation concepts

Microsoft Power BI Data Analyst PL300 Course Overview

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

What will you gain from taking this Microsoft training course?

  • Ingest, clean, and transform data.
  • Model data for performance and scalability.
  • Design and create reports for data analysis.
  • Apply and perform advanced report analytics.
  • Manage and share report assets.

Show moredown

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

  • World-Class Training Sessions from Experienced Instructors
  • 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 Training?

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.

The following professionals will benefit the most from this course:

  • 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 Training

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

This course is for individuals that are looking to learn how to use the range of Microsoft Power BI tools to refine and model their data into a visual and interactive format. You will be taken on a journey from the concepts of a Power BI project right through to the result in an engaging and structured format. You will get hands on with a wealth of data to practise the techniques taught by this course.

After taking this course you will be able to:

  • You will know which Power BI tool to use for different projects.
  • You will be able to connect to and maintain connections to data sources.
  • You can query your data sources to refine the data you are pulling into your project.
  • You can optimise a data model to enhance the performance of your reports.
  • You will know how to use Data Analyses eXpression (DAX) language to create columns and measures.
  • You can create dimensional hierarchies and plot geographical data.
  • You can create engaging, visual reports from your data model.
  • You’ll be able to publish your project to a workspace and manage it from the Power BI web service.
  • You will be able to build dashboard to aggregate essential visuals from reports.
  • You well be able to share your reports to colleagues.

Show moredown

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

  • World-Class Training Sessions from Experienced Instructors
  • 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: Normalization and Denormalization

  • Normalization
  • Denormalization

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

  • Denormalize 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

SQL (Structured Query Language) is the most common language for organising and extracting data stored in a relational database. It is used to build, read, edit, and remove relational databases and tables. Organisations use SQL monitoring tools to plan the diagnosis and tuning of various components to discover server issues in a simplified manner. Excelling in this Introduction to SQL Databases training course will allow you to expand your technical abilities and open up numerous new career prospects. This obtained information from this training course will lead you to attain many job roles such as database administrator, quality assurance tester, software engineer, and many other highly paid reputed designations.

The Knowledge Academy’s 3-day Introduction to SQL Databases training course will upgrade the delegates’ ability to explore and sort queries regarding SQL server databases. During this training, delegates will learn how to create, read, update and delete relational databases and tables. Furthermore, delegates will understand fundamental database types, database languages, and database design.

It also accommodates the delegates with more SQL related concepts, such as:

  • Entity-relationship modelling
  • Planning referential integrity
  • Views
  • Introduction to relationships
  • Concurrency

At the end of this training course, delegates will be able to know the key database concepts and languages used in SQL Server. They will be eligible to perform each type of data modelling technique and the normalisation and denormalisation techniques. Our highly expert trainer with abundant knowledge has curated this training course to handle vast volumes of structured data and standardise your data to create and manage various data servers.

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 Course. However, a foundational understanding of database and SQL concepts would be beneficial for the delegates.

Accelerated SQL Server 2016 Integration Services Course Overview

SSIS (SQL Server Integration Services) is part of the Microsoft SQL Server software data utilised for various data migration tasks. SQL (Structured Query Language) Server Integration Service is a quick and adaptable data warehousing tool applied to extract, transform, and load data. It presents easy to load the data from one database to a different database like Oracle, Excel file, SQL Server, etc. We can say that the SSIS tool is used for data migration and used to perform a wide variety of integration tasks and transformations. Many companies use SSIS because it assists them in joining data from multiple data stores and filling data to various objectives quickly and effectively. Having in-depth knowledge of SSIS is very important in this digital era. Individuals with advanced SQL knowledge are one step ahead of the rest and work as highly paid posts in various multinational investigation organisations.

This 4-day Accelerated SQL Server 2016 Integration Services training course provides delegates with a comprehensive knowledge of SQL Server Integration Services and its various features. This training will provide in-depth knowledge about how to add and configure a flat file connection manager. They will get to know about Excel connection manager, data quality and cleansing, dimension ETL with SSIS, SSIS slowly changing dimension wizard, and many more things. This course will be taught by our expert trainers who have years of experience in teaching technical courses.  

This course will cover various essential topics, such as:

  • SSIS optimisation techniques
  • Using SQL Server database snapshots
  • Deployment to the SSIS package store
  • DAX for multidimensional models
  • Project deployment model
  • Fuzzy lookup transformation
  • Group or ungroup components

At the end of this training, delegates will be able to use SQL Server Integration Services and its feature effectively. They will extract, transform, and load data using SSIS data flow without facing any issues. They will also be able to restart packages by using checkpoints.

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 Training 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 this Writing Analytical Queries for Business Intelligence 55232A Training course, there are a few prerequisites that delegates need to fulfil. They must have:

  • Knowledge of data analysis and business intelligence situations in context
  • Basic understanding of the Windows operating system and its key features, including file system navigation
  • A fundamental grasp of the function of relational database management systems such as SQL Server

Writing Analytical Queries for Business Intelligence 55232A Training Course Overview

Business Intelligence (BI) is a technology-driven process for evaluating data and delivering actionable information to leaders, managers, and employees to help them make better business choices.  Organisations use analytical queries to integrate data from numerous inquiries from the same or other data sources into a single return set. Delegates will lay their hands-on the TSQL queries that are written for database reporting, analysis, and business intelligence.  Excelling in this training course will lead you to attain many greater designations such as Business Systems Analysts, Tableau Developers, Business Analyst Consultants, Business Developers, and numerous highly skilled job profiles to upgrade your career positions ahead.

In this 3-day Writing Analytical Queries for Business Intelligence 55232-A Training Course delegates will obtain adequate knowledge about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. Delegates will come to know about the identification and connection between measurement levels and column data types. Our highly expert trainer with abundant knowledge will make the delegates to experience a consistent, straightforward, and intentional learning route throughout the training.

It also accommodates the delegates to cover numerous essential topics, such as:

  • Column expressions, data types, and built-in functions
  • Column aliases
  • Data type conversions
  • Aggregate functions
  • GROUP BY

At the end of this training course, delegates will be able to combine JOIN operations with WHERE and ORDER BY. They will also be able to allow a user with read-only access to use views, table-valued functions, and store procedures.

Show moredown

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

  • World-Class Training Sessions from Experienced Instructors
  • 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 Training is designed for individuals and professionals who are 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

Microsoft's SQL Server Integration Services (SSIS) is a data integration solution that enables programmers to create and implement intricate ETL (Extract, Transform, and Load) processes for projects. It is used to handle errors and exceptions during package execution when it moves on to SSIS event handling. Studying this training helps individuals learn how to deploy and schedule SSIS packages, which are used to automate package execution. This training helps learners implement real-time data integration solutions and optimise SSIS package performance and efficiency. Pursuing this training helps individuals get equipped with the necessary skills and techniques to enhance their career opportunities and ultimately increase their earnings.

In this 5-day SQL Server Integration Services 55321AC training course, delegates will gain a comprehensive understanding of SSIS to create and deploy SSIS packages. During this training, they will learn about configuring logging and auditing features in SSIS packages and how to use them to troubleshoot issues. They will also learn about how to build complex ETL (Extract, Transform, and Load) workflows using SSIS. The Knowledge Academy’s highly professional and knowledgeable tutor, who has years of teaching experience, will conduct this training.

Course Objectives

  • To understand the basic architecture and components of SSIS
  • To create dynamic and reusable SSIS packages using package configurations
  • To use SSIS data flow transformations to manipulate data during ETL processing
  • To handle errors and exceptions during package execution
  • To monitor SSIS package performance using SSIS monitoring tools
  • To learn how to use SSIS data flow transformations to transform data

At the end of this training course, delegates will be able to create dynamic and reusable SSIS packages using package configurations. They will also be able to work with different types of SSIS data sources, including flat files and Excel spreadsheets.

Show moredown

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

  • World-Class Training Sessions from Experienced Instructors
  • 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 Freezing
  • Join Orders

Lab: Query Issues and Hints

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

Show moredown

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

The SQL Server 2014 Performance Tuning and Optimisation 55144BC Training 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 Training course.

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

SQL (Structured Query Language) is a programming language designed for managing and manipulating relational databases to retrieve, update, and manage data stored in database systems. It is important for enhancing the overall performance and efficiency of SQL Server databases. Studying this training helps individuals effectively optimise SQL Server databases, troubleshoot performance issues, optimise queries, and design efficient database structures. This training helps organisations maximise the performance of their SQL Server databases, leading to increased productivity, reduced downtime, and improved scalability. Pursuing this training helps individuals to become database administrators and developers, enabling them to contribute significantly to database performance and optimisation initiatives in various organisations.

The Knowledge Academy’s 4-day SQL Server 2014 Performance Tuning and Optimisation 55144BC Training course provides delegates with in-depth knowledge and skills to enhance the performance and efficiency of SQL Server databases. During this training, they will learn how to analyse query execution plans and identify and resolve performance bottlenecks. They will also learn about how to optimise SQL Server configurations and effectively manage memory and disc resources. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching and will help delegates get a complete understanding of this course.

Course Objectives

  • To understand SQL Server performance tuning and optimisation techniques
  • To analyse and optimise query execution plans for improved performance
  • To identify and resolve performance bottlenecks in SQL Server databases
  • To optimise SQL Server configurations and manage system resources effectively
  • To use performance monitoring tools for proactive performance management
  • To learn how to implement SQL Server performance tuning and optimisation

After attending this training, delegates will be able to analyse and resolve performance issues and bottlenecks effectively. They will also be able to utilise performance monitoring tools to manage and tune SQL Server and enhance overall system performance.

Show moredown

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

  • World-Class Training Sessions from Experienced Instructors
  • 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 +44 1344 203999 or Enquire.

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

Yes, all of our Microsoft SQL Server courses are accredited as The Knowledge Academy is a Microsoft Silver Learning Partner.
If your course requires you to take an exam then the exam will be included in the course price.
Yes, at The Knowledge Academy, we provide training in a vast number of locations across the UK and the world, meaning that it will be easy to find a location near you.
All of our training instructors have a wealth of experience in their field and provide support to our candidates throughout the course to ensure you get the most out of your learning experience.
The Knowledge Academy is the Leading global training provider for Microsoft SQL Server Training.
The training fees for Microsoft SQL Server Training in Philippines starts from $8995.
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

Looking for more information on Microsoft SQL Server Training

cross

OUR BIGGEST SPRING SALE!

Special Discounts

*WHO 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.