Database Training

Online Instructor-led (2 days)

Online Self-paced (16 hours)

InfluxDB Training​ Course Outline

Module 1: Introduction to InfluxDB

  • What is InfluxDB?
  • When is InfluxDB Used?
  • Advantages of InfluxDB

Module 2: Installation

  • InfluxDB Installation
  • Write Data in Line Protocol

Module 3: Time-Series Database

  • What is Time Series?
  • What is Time-Series Databases?
  • What is TICK Stack?
  • Measurement, Tags, Fields, and Points
  • Architecture of TICK Stack
  • Why Use InfluxDB?

Module 4: Get Started with Flux

  • Introduction
  • Showing Range Data Using Flux
  • Write an Annotated CSV with Flux to InfluxDB

Module 5: Basic Types

  • Boolean
  • Bytes
  • Durations
  • Regular Expression
  • Strings
  • Types
  • Floats
  • Null

Module 6: Manage Organisations

  • Create an Organisation
  • Create an Organisation in the InfluxDB UI
  • View Organisations
  • Update an Organisation

Module 7: Notebook

  • Creating Notebook
  • Convert to Flux
  • Change Visualisation Result
  • Create Alert Task
  • Scheduling a Task
  • Deleting Notebook
  • Normalise Data

Module 8: Visualise Data with the InfluxDB UI

  • Manage InfluxDB Dashboards
  • Use and Manage Variables
  • Manage Labels in the InfluxDB UI
  • Use Annotations in Dashboards
  • Visualisation Types

Module 9: Influx with Grafana

  • Install Grafana OSS
  • Use Grafana with InfluxDB
  • Use Flux Query with Grafanas

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Who Should Attend the InfluxDB Training Course?

The InfluxDB Training is designed for individuals who want to learn how to manage and analyse time-series data using InfluxDB. This course will benefit the following professionals:

  • Data Engineers
  • Database Administrators
  • DevOps Engineers
  • IoT Developers
  • System Administrators
  • Data Analysts
  • Solutions Architects
  • Operations Managers

Prerequisites of the InfluxDB Training Course

There are no formal prerequisites to attend the InfluxDB Training Course. However, a basic knowledge of time series data and SQL would be beneficial. 

InfluxDB Training Course Overview

In the realm of modern data management, the InfluxDB Training Course emerges as a specialised exploration into a cutting-edge database system. This course delves into the intricacies of InfluxDB, a high-performance, distributed, and scalable time-series database, highlighting its relevance in capturing and analyzing time-stamped data with unparalleled efficiency.

For professionals engaged in data science, IoT, and DevOps, mastering the InfluxDB database is imperative. InfluxDB plays a crucial role in managing and analysing time-series data, making it indispensable for those involved in monitoring systems, tracking performance metrics, and harnessing real-time analytics.

In this 2 day training by The Knowledge Academy's equips delegates with the expertise to navigate this specialised database system. The training objectives range from understanding InfluxDB's architecture to optimizing queries for time-series data, providing professionals with practical skills to implement efficient time-series data management solutions.

Course Objectives:

  • To comprehend the architecture and functionalities of InfluxDB
  • To optimise queries for efficient retrieval and analysis of time-series data
  • To implement effective data retention policies for time-stamped information
  • To integrate InfluxDB with other data analysis and visualisation tools
  • To deploy and manage InfluxDB clusters for scalability
  • To ensure data security and implement access controls in InfluxDB environments

Upon completing the InfluxDB Training Course, delegates emerge with a specialised skill set tailored for efficient time-series data management. They will harness the power of InfluxDB to analyze and interpret time-stamped data with precision, making informed decisions in dynamic data-driven environments.

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What’s included in this InfluxDB Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • InfluxDB Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Redis Cluster Database Training​ Course Outline

Module 1: Getting Started With Redis

  • Introduction to Redis
  • Advantages of Redis
  • Redis Environment
  • Redis Configuration

Module 2: Redis Data Type

  • Strings
  • Hashes
  • Lists
  • Sets
  • Sorted Sets

Module 3: Redis Commands

  • Introduction to Redis Commands

Module 4: Keys in Redis

  • Redis Keys Commands

Module 5: Strings in Redis

  • Strings in Redis
  • Strings Commands in Redis

Module 6: Lists in Redis

  • Lists in Redis
  • RPOPLPUSH Command

Module 7: Redis Hashes

  • Redis Hashes
  • Commands for Hashes

Module 8: Redis Sets

  • Redis Sets Overview

Module 9: Public Subscribe

  • Introduction to Public Subscribe

Module 10: Redis Transaction

  • Introduction
  • Commands

Module 11: Scripting in Redis

  • What is Scripting in Redis?
  • Redis Scripting Commands

Module 12: Redis Security

  • Redis Security Overview

Module 13: Redis Pipelining

  • Understanding Redis Pipelining

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Who Should Attend this Redis Cluster Database Training Course?

This Redis Cluster Database Training Course is designed for professionals who want to learn how to set up and manage distributed data using Redis Cluster. This course will benefit the following professionals:

  • Database Administrators
  • Software Developers
  • DevOps Engineers
  • IT Operations Managers
  • Solutions Architects
  • Database Engineers
  • System Administrators
  • Cloud Administrators

Prerequisites of the Redis Cluster Database Training Course

There are no formal prerequisites to attend the Redis Cluster Database Training Course. However, a basic knowledge of clustering and Redis would be beneficial.

Redis Cluster Database Training Course Overview

In the dynamic landscape of data management, the Redis Cluster Database Training Course emerges as a crucial exploration of the Redis database system, specifically its cluster functionality. Redis, known for its speed and versatility, is widely utilised for caching, real-time analytics, and messaging, making this course highly relevant in the contemporary digital ecosystem.

Understanding the intricacies of Redis Cluster is vital for professionals engaged in database administration, system architecture, and application development. Mastery of this subject empowers individuals to harness the full potential of Redis, optimising its cluster capabilities for enhanced performance and reliability in distributed computing environments.

This 1-day course by the Knowledge Academy is designed to provide hands-on expertise in Redis Cluster. Delegates will delve into practical aspects, from setting up and configuring clusters to implementing effective data sharding strategies. The training aims to equip delegates with the skills to navigate Redis Cluster confidently, making it an invaluable asset for professionals seeking to enhance their database management capabilities.

Course Objectives:

  • To comprehend the architecture and functionalities of Redis Cluster
  • To configure and set up a Redis Cluster for optimal performance
  • To implement effective data sharding strategies within a Redis Cluster
  • To understand and manage data distribution and fault tolerance in a Redis Cluster
  • To explore advanced features and optimisations specific to Redis Cluster
  • To troubleshoot common issues and perform maintenance tasks within a Redis Cluster

Upon completing the Redis Cluster Database Training Course, delegates will gain practical insights into optimising Redis Clusters for distributed computing scenarios. They'll leave with the ability to configure, manage, and troubleshoot Redis Clusters effectively, enhancing their proficiency in leveraging Redis for high-performance and scalable database solutions.

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What’s included in this Redis Cluster Database Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Redis Cluster Database Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Introduction to Database Training​ Course Outline

Module 1: Introduction to Database

  • What is Database?
  • Characteristics of the Database
  • Introduction to DBMS
  • Advantage of Using DBMS

Module 2: Database System and Architecture

  • Data Models and Scheme
  • Scheme Architecture
  • Data Independence
  • Database System Environment
  • Client-Server Architecture for DBMS
  • Classification of the Database Management System

Module 3: Database Modelling

  • Entities in Database
  • Entities Types
  • Entities Sets
  • Relationship and its Types
  • Relationship Sets
  • DBMS Structure

Module 4: Relation Model

  • Relation Model Concept
  • Relation Database Scheme
  • Operations on Database

Module 5: Basic Constraints and Queries

  • SQL Commands
  • DDL Commands
  • DML Commands
  • DCL Commands
  • DQL Commands
  • TCL Commands
  • SQL Data Types
  • Basic Constraints
  • Basic Queries SQL

Module 6: Functional Dependencies and Normalisation

  • Functional Dependencies (FD)
  • Normal Form Based on Primary Key
  • Boyce Codd Normal Form (BCNF)

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Who Should Attend the Introduction to Database Training Course?

This Introduction to Database Training Course is designed for professionals who want to learn the fundamentals of working with databases and managing data. This course will benefit the following professionals:

  • Database Administrators
  • Software Developers
  • Business Analysts
  • Data Analysts
  • Systems Analysts
  • Database Developers
  • Solutions Architects

Prerequisites of the Introduction to Database Training Course

There are no formal prerequisites to attend the Introduction to Database Training Course. However, a basic knowledge of SQL would be beneficial. 

Introduction to Database Training Course Overview

In our increasingly digitised world, the Database Training Course stands as a foundational exploration of database management—a critical component in the seamless functioning of modern enterprises. This course dives into the principles of organizing, storing, and retrieving data, shedding light on the pivotal role databases play in sustaining technological advancements and information-driven decision-making processes.

Professionals from various domains, including IT specialists, data analysts, and system administrators, can significantly benefit from mastering the Database Course. In an era where data fuels innovation, understanding how to efficiently manage databases becomes paramount. From ensuring data security to streamlining complex operations, the relevance of database knowledge permeates various professional spheres.

This 1-day course by the Knowledge Academy transforms theoretical concepts into practical skills. Delegates will not only grasp the essentials of database structures and functionalities but also learn to optimise queries for enhanced performance. The training extends to implementing robust security measures, streamlining data integration processes, and harnessing the capabilities of databases in handling voluminous datasets.

Course Objectives:

  • To comprehend the fundamentals of database structures and functionalities
  • To optimise database queries for enhanced performance
  • To implement robust security measures for data protection
  • To streamline data integration processes across diverse platforms
  • To harness the capabilities of databases in handling big data
  • To establish efficient backup and recovery procedures

Upon completing the Database Training Course, delegates will emerge with a comprehensive skill set, ready to tackle real-world challenges in database management. They'll navigate the digital landscape with confidence, equipped to drive efficiency and security in data-driven operations.

 

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What’s included in this Introduction to Database Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Introduction to Database Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

GraphQL Database Training with React Course Outline

Module 1: Introduction to GraphQL

  • What is GraphQL?
  • Why We Need GraphQL?

Module 2: Environment Setup

  • Build GraphQL Server with Node.js

Module 3: GraphQL Architecture

  • GraphQL with Connected Database
  • Server Integrating
  • Hybrid Approach

Module 4: Application Components

  • Server-Side Component
  • Client-Side Component

Module 5: Type System in GraphQL

  • Scalar Type
  • Object Type
  • Query Type
  • Mutation Type
  • Enum Type
  • List Type

Module 6: Integration with React

  • Setting Up the Client
  • Setting Up the Server

Module 7: Query

  • What is the Query Variable?
  • Uses of the Query Variable

Module 8: Caching in GraphQL

  • InMemory Cache
  • Illustration

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Who Should Attend this GraphQL Database Training with React Course?

The GraphQL Database Training with React Course will provide a comprehensive understanding to delegates who want to learn how to use GraphQL to query and manipulate data in their React applications. This course will benefit the following professionals:

  • Frontend Developers
  • Full Stack Developers
  • Web Application Developers
  • JavaScript Developers
  • UI/UX Designers
  • Application Architects
  • Software Engineers
  • Solutions Engineers

Prerequisites of the GraphQL Database Training with React Course

There are no formal prerequisites to attend the GraphQL Database Training with React Course. However, a basic knowledge of JavaScript would be beneficial. 

GraphQL Database Training with React Course Overview

In the dynamic realm of web development, the GraphQL Database Training with React Course emerges as a beacon for those seeking proficiency in advanced data querying and manipulation. This course not only navigates the intricacies of GraphQL but also explores its integration with React, offering a holistic understanding of cutting-edge technologies shaping modern web applications.

For professionals engaged in web development and database management, mastering GraphQL is a game-changer. The course introduces the seamless integration of GraphQL with React, empowering developers to create efficient and responsive user interfaces. In an era where user experience is paramount, this combination is instrumental in building robust and scalable web applications.

This 1-day course by the Knowledge Academy goes beyond the basics. Delegates will learn to harness the power of GraphQL to optimise data fetching and manipulation in conjunction with React, elevating their ability to build dynamic and interactive web applications. The training is designed for developers, architects, and IT professionals aiming to stay at the forefront of web development technologies.

Course Objectives:

  • To understand the fundamentals of GraphQL and its role in data fetching
  • To explore the integration of GraphQL with React for efficient front-end development
  • To master advanced querying techniques in GraphQL
  • To implement data mutation and manipulation using GraphQL
  • To optimise data fetching strategies in React applications
  • To build a complete web application using GraphQL and React

Upon completing the GraphQL Database Training with React Course, delegates will emerge with a robust skill set to tackle contemporary challenges in web development. Armed with the ability to seamlessly integrate GraphQL with React, they'll craft user interfaces that are not just functional but also responsive, setting the stage for enhanced user experiences in their projects.

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What’s included in this GraphQL Database Training with React Course?

  • World-Class Training Sessions from Experienced Instructors
  • GraphQL Database Training with React Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Relational Databases & Data Modelling Training​ Course Outline

Module 1: Introduction to Relational Databases

  • Database Approach
  • Database Management Systems
  • Functions of a Database Management System
  • Processing, Schema, and Storage Architecture
  • Database System Development
  • Overview of General Database Principles

Module 2: Conceptual Data Models 

  • Overview of Entity Models
  • Entities and How to Identify Them
  • Attributes and How to Identify Them
  • Relationships and Their Qualities
  • Building an Entity Relationship Diagram
  • Resolving Many-to-Many Relationships
  • Entity Relationship Diagram with the help of Flowchart Symbols
  • Sub-Type and Super-Type Relationships
  • Arc Relationships
  • Recursive Relationships
  • Constraints and Assumptions
  • Introduction to Normalisation
  • Normalisation to the First Normal Form (1NF)
  • Normalisation to the Second Normal Form (2NF)
  • Normalisation to the Third Normal Form (3NF)
  • Benefits of Normalisation
  • Relational Database Analysis

Module 3: Relational Model

  • Introduction to Relational Model
  • Relational Structure and Terminology
  • Domains
  • Relational Schema
  • Candidate Keys, Primary Keys, and Foreign Keys
  • Mapping Constraints
  • Implementing Sub-Type/Super-Type Relationships
  • Views in SQL
  • Denormalisation Using Pre-Joined Tables and Derived Data
  • Introduction to Structured Query Language
  • Simple Queries and Update of the Data
  • Relational Decomposition

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Who Should Attend the Relational Databases and Data Modelling Training Course?

The Relational Databases and Data Modelling Training is designed for professionals who want to learn the concepts of Relational Databases and effective Data Modelling techniques. This course will be beneficial for the following professionals:

  • Database Administrators
  • Database Developers
  • Data Analysts
  • Software Engineers
  • IT Professionals
  • Solutions Architects
  • Business Analysts
  • Data Engineers

Prerequisites of the Relational Databases and Data Modelling Training Course

There are no formal prerequisites to attend the Relational Databases and Data Modelling Training Course. However, a basic knowledge of databases and SQL would be beneficial. 

Relational Databases & Data Modelling Training Course Overview

In the domain of modern information management, the Relational Databases & Data Modelling Training Course emerges as a crucial exploration of how data is structured, stored, and accessed. This course delves into the fundamentals of relational databases and data modeling, unraveling the intricacies of organising information for optimal functionality and accessibility.

Mastering Relational Databases & Data Modelling is imperative for professionals navigating the data landscape. This knowledge is particularly vital for IT specialists, database administrators, and data analysts tasked with optimising data storage, retrieval, and structuring processes.

This 1-day course by the Knowledge Academy empowers delegates with practical skills to design and manage relational databases effectively. From understanding the principles of data normalisation to creating efficient data models, professionals will gain insights into transforming theoretical concepts into tangible solutions.

Course Objectives:

  • To grasp the fundamentals of relational databases and their role in information management
  • To understand the principles of data normalisation for optimal database performance
  • To create efficient data models to represent real-world scenarios accurately
  • To implement database constraints to ensure data integrity
  • To develop skills in querying relational databases for effective data retrieval
  • To apply normalisation techniques to enhance database efficiency

Upon completing the Relational Databases & Data Modelling Training Course, delegates will possess the expertise to design and manage relational databases, ensuring streamlined and efficient data management. This knowledge not only enhances their ability to contribute to organisational success but also opens doors to diverse career opportunities in the ever-evolving field of data management.

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What’s included in this Relational Databases and Data Modelling Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Relational Databases and Data Modelling Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Teradata Training​ Course Outline

Module 1: Introduction to Teradata 

  • What is Teradata 
  • Features of Teradata 
  • Installation Steps for Windows 

Module 2: Teradata Architecture 

  • Components of Teradata 
  • Storage Architecture 
  • Retrieval Architecture 

Module 3: Teradata Data Manipulation 

  • Insert Records 
  • Insert from Another Table 
  • Update Records 
  • Delete Records 

Module 4: Teradata TPT 

  • What is Teradata TPT? 
  • TPT Operators in Teradata 
  • Teradata TPT Script to Load from File to Table 
    • FILE Schema and Producer Operator to Read Files 
    • DDL Operator to Drop/Create Error Tables and Target Table 
    • LOAD Operator to Load the Data File into Target Table 
    • Execute DDL Operator 
    • Execute LOAD Operator 
  • How Do I Run a Teradata TPT Script in UNIX? 
  • How to View TPT Log File? 

Module 5: Data Acquisition and Loading Options 

  • Intermediate File Logging 
  • Mini Batch Loading  
  • Batch Directory Scan  
  • Active Directory Scan: Continuous Loading of Transactional Options 

Module 6: How to Write the Script

  • BTEQ Scripts 
  • Running the TPT Script 
  • Loading Aster Table to Teradata Database Using ODBC 

Module 7: Set Own Rules to Data Load 

  • Defining a Ruleset 
  • ALL RULES 
  • Remove All DBQL Rules in Effect from DBC.DBQLRuleTbl 
  • Restrictions on Load Utilities 
  • Teradata Load and Unload Utilities 

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Who Should Attend this Teradata Training Course?

This Teradata Training Course is designed for professionals seeking to develop proficiency in working with Teradata, a leading data warehousing and analytics platform. This course will benefit the following professionals:

  • Data Analysts
  • Database Administrators
  • Business Intelligence Analysts
  • Data Engineers
  • Data Architects
  • IT Professionals
  • Solutions Architects
  • Data Warehousing Managers

Prerequisites of the Teradata Training Course

There are no formal prerequisites to attend the Teradata Training Course. However, a basic knowledge of SQL and Linux would be beneficial. 

Teradata Training Course Overview

The Teradata Training Course is a comprehensive exploration of Teradata, a leading relational database management system, and its profound relevance in the realm of data warehousing and analytics. As organisations increasingly rely on data for strategic decision-making, understanding Teradata becomes pivotal in optimizing data storage, retrieval, and analysis.

Professionals engaged in data analytics, business intelligence, and database management stand to gain immense value from mastering the Teradata Course. In the landscape of big data, Teradata's efficiency in handling vast datasets makes it a critical skill for those aiming to excel in roles involving data warehousing, analytics, and data-driven decision support.

In this 1-day training by the Knowledge Academy, delegates will delve into the intricacies of Teradata, learning to leverage its capabilities for optimised data management. From understanding Teradata architecture to mastering advanced querying techniques, the course equips delegates with the skills needed to navigate the complexities of this powerful database management system.

Course Objectives:

  • To comprehend the architecture and components of Teradata
  • To master the SQL essentials for querying Teradata databases
  • To understand data distribution and access mechanisms in Teradata
  • To optimise query performance using indexing and partitioning
  • To grasp the fundamentals of Teradata utilities for data loading and backup
  • To implement security measures for safeguarding Teradata databases

Upon completing the Teradata Training Course, delegates will possess the expertise to navigate and leverage Teradata effectively. From crafting efficient SQL queries to implementing robust security measures, professionals will be well-prepared to contribute to their organisations' data-driven success, gaining a competitive edge in the dynamic field of data management and analytics.

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What’s included in this Teradata Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Teradata Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

MariaDB Standard DBA​ Training Course Outline

Module 1: Install and Configure MariaDB Server​

  • Steps to Install and Configure MariaDB Server​

Module 2: Perform the MariaDB Start and Shutdown Operations​

  • MariaDB Start and Shutdown Operations​

Module 3: Activate and Manage MariaDB Server Logs​

  • MariaDB Server Logs​

Module 4: MariaDB Server Internals ​

  • MariaDB Server Internals

Module 5: Evaluate Data Types and Character Sets​

  • Data Types​
  • Character Sets​

Module 6: MariaDB Schema Objects​

  • Views​
  • Triggers​
  • Table Partitioning​

Module 7: Compare and Understand Various Storage Engines in MariaDB​

  • Storage Engines for General Purpose​
  • Scaling and Partitioning​
  • Compression / Archive​
  • Connecting to Other Data Sources​
  • Search Optimised

Module 8: Understand Transactions and Data Locking in MariaDB​

  • Transactions​
  • Data Locking​

Module 9: Manage Users, Roles, and Security​

  • Data-At-Rest Encryption ​
  • Useful Functions​

Module 10: Mariabackup​

  • Overview of Mariabackup
  • Run Command in MariaDB Shell
  • Creating Backup Using Mariabackup

Module 11: Regular Expression

  • Regular Expression

Module 12: Performance Tuning Techniques​

  • Memory
  • Disks
  • Fast Ethernet
  • CPU
  • Setting Your Disk I/O Scheduler​
  • Increase Open Files Limit​

Module 13: Fundamentals of High Availability​

  • Fundamentals of High Availability

Module 14: Configure and Monitor MariaDB Replication​

  • MariaDB Monitor​

Module 15: Understand the MariaDB MaxScale Database Proxy

  • MariaDB MaxScale Database Proxy​

Module 16: Advanced Features in MariaDB

  • Window Functions​
  • Common Table Expressions (CTEs)​
  • Temporal Tables ​

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Who should attend this MariaDB Standard DBA Training Course? 

The MariaDB Standard DBA Training Course is tailored for individuals seeking to become proficient Database Administrators with a focus on MariaDB, an open-source relational database management system. This training is suitable for a range of professionals, including:

  • Junior Database Administrators
  • Database Developers
  • System Administrators
  • IT Managers
  • Application Developers
  • Database Analysts
  • Technical Support Engineers

Prerequisites of the MariaDB Standard DBA Training Course 

There are no formal prerequisites are required for the MariaDB Standard DBA Training Course. However, basic Database knowledge, SQL proficiency and Linux fundamentals would be beneficial.

MariaDB Standard DBA Training Course Overview

Embark on a journey into the realm of database administration with the MariaDB Standard DBA Training Course—a specialised exploration into the intricacies of managing MariaDB databases. As an open-source relational database management system, MariaDB is at the forefront of modern data handling, making this course a vital resource for those navigating the evolving landscape of database administration.

Professionals involved in database administration, particularly those working with MariaDB, find immense value in mastering this course. In an era where data efficiency and security are paramount, understanding the nuances of MariaDB is crucial for streamlining operations and ensuring the integrity of database systems.

Conducted by the Knowledge Academy, this 1-day training is designed to equip delegates with practical skills essential for MariaDB database administration. From foundational concepts to advanced techniques, delegates will learn to optimise MariaDB databases, implement security measures, and troubleshoot common issues.

Course Objectives:

  • To comprehend the architecture and functionalities of MariaDB databases
  • To optimise MariaDB databases for improved performance
  • To implement robust security measures for MariaDB data protection
  • To troubleshoot common issues in MariaDB database administration
  • To master backup and recovery procedures specific to MariaDB
  • To stay updated on the latest features and advancements in MariaDB technology

Delegates completing the MariaDB Standard DBA Training Course will emerge with a heightened understanding of MariaDB database administration. Armed with optimised performance strategies, enhanced security measures, and troubleshooting expertise, they will be well-prepared to navigate the dynamic landscape of MariaDB databases, ensuring the efficiency and integrity of data-driven operations.

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What’s Included in this MariaDB Standard DBA Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • MariaDB Standard DBA Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Snowflake Training Course Outline

Module 1: Snowflake Interface.

  • Using the Web Interface: General Usage Notes.
    • Browser Requirements.
    • Account Administration.
    • Accessing Documentation, Support, Downloads, and Context-sensitive Help.
  • Classic Web Interface.
    • Using the Web Interface: General Usage Notes.
    • Changing Your Password/Switching Your (Session) Role/Logging Out.
    • Managing Your User Preferences.
    • Using Worksheets for Queries/DML/DDL.
    • Using the History Page to Monitor Queries.
  • New Web Interface.
    • Getting Started with the New Web Interface.
    • Using Snowsight.
    • Managing Databases.
    • Managing Resource Monitors.
    • Snowflake Data Marketplace.

Module 2: Databases, Tables, and Views.

  • Understanding Snowflake Table Structures.
    • Working with Temporary and Transient Tables.
    • Working with External Tables.
    • Using the Search Optimisation Service.
    • Overview of Views.
    • Working with Secure Views.
  • Working with Materialised Views.
    • Table Design Considerations.
    • Cloning Considerations.
    • Data Storage Considerations.

Module 3: Queries.

  • Working with Joins.
  • Working with Subqueries.
  • Working with CTEs (Common Table Expressions).
  • Querying Hierarchical Data.
  • Querying Semi-Structured Data.
  • Using Window Functions.
  • Identifying Sequences of Rows that Match a Pattern.
  • Using Sequences.
  • Using Persisted Query Results.
  • Estimating the Number of Distinct Values.
  • Estimating Similarity of Two or More Sets.
  • Estimating Frequent Values.
  • Estimating Percentile Values.
  • Analysing Queries Using Query Profile.
  • Cancelling Statements.

Module 4: Using Worksheets for Queries/DML/DDL.

  • Overview of Features.
  • Saving and Managing Worksheets.
  • Using the Object Browser.
    • Exploring Database Objects.
    • Searching for Database Objects.
  • Managing Warehouses.
  • Managing Queries.
    • Executing Queries.
    • Aborting Running Queries.
    • Viewing Query Information and Details.
  • Formatting Queries Using Keyboard Shortcuts.
  • Backing Up Your Own Worksheets.

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Who Should Attend Snowflake Training?

This training course is suitable for anyone who wants to gain in-depth knowledge of the Snowflake interface.

Prerequisites of Snowflake Training

There are no formal prerequisites in this Snowflake training course.

Snowflake Training Course Overview

Snowflake is a cloud-based data warehousing platform for data and workloads that allows easy loading, integration, and data analysis. It offers a single platform for data warehousing, data engineering, data lakes, data science, and developing data applications. It enables individuals to use multiple nodes for accessing shared data on a single storage system. This training course will help the delegates manage their organisation to view, create, and manage their accounts across different regions and cloud platforms. Pursuing this training helps individuals acquire the necessary skills and knowledge to advance their careers.  

This 1-day Snowflake Training course will provide delegates with in-depth knowledge about the Snowflake data warehouse platform by covering all essential areas. During this training, delegates will learn about the Snowflake web interface, including enabling Multi-Factor Authentication (MFA), managing user preferences, and changing the Snowflake password. They will also understand databases, tables, and views and how to use worksheets for queries. Our highly skilled trainers will conduct this course and help delegates become proficient with data analytics and warehouse capabilities.

Course Objectives:

  • To create and use virtual warehouses.
  • To understand how queries are built and run.
  • To create and modify databases and all database objects.
  • To acquire knowledge on how to share data with Snowflake accounts.
  • To learn how to load data into tables.

At the end of this training, delegates will be able to create and submit SQL queries and perform other DML and DDL operations. They will also be able to create temporary tables for storing non-permanent, transitory data.

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What's imcluded within this SnowFlake training course? 

  • World-Class Training Sessions from Experienced Instructors.
  • SnowFlake Training Certificate.
  • Digital Delegate Pack.

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Elasticsearch Training Course Outline

Module 1: Introduction to Elasticsearch

  • What is Elasticsearch?
  • Elasticsearch Basics
  • Elasticsearch Use Cases
  • Use Cases of Elasticsearch

Module 2: Install, Manage, and Secure

  • Set up Elasticsearch
  • Secure the Elastic Stack
  • Upgrade Elasticsearch
  • Set up a Cluster for High Availability
  • Monitor a Cluster
  • Troubleshooting
  • Enterprise Search Server

Module 3: Ingest Data

  • Adding Data to Elasticsearch
  • Connectors
  • Web Crawler
  • Data Streams
  • Ingest Pipelines
  • Mapping

Module 4: Search and Analyse

  • Search your Data
  • Query Data with the Query DSL, ES|QL, EQL, or SQL
  • Search Applications
  • Search Analytics
  • Search your Data
  • Query Data with the Query DSL, ES|QL, EQL, or SQL
  • Search Applications
  • Search Analytics

Module 5: Data Management

  • Data Management
  • Down Sampling
  • Snapshot and Restore

Module 6: APIs and Developer Docs

  • REST APIs
  • Elasticsearch Clients
  • Painless Scripting Language
  • Plugins and Integrations

 

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Who Should Attend this Elasticsearch Training Course

The Elasticsearch Training is designed for individuals who want to learn how to implement, manage, and optimise it for different use cases. This course will benefit the following professionals:

  • Elasticsearch Developers
  • Data Engineers
  • Search Engineers
  • Elasticsearch Consultants
  • Technical Support Engineers
  • Security Specialists
  • Site Reliability Engineers

Prerequisites of the Elasticsearch Training Course

There are no formal prerequisites to attend the Elasticsearch Training Course. However, a basic knowledge of search server, applications and Elasticsearch use cases would be beneficial.

Elasticsearch Training Course Overview

Elasticsearch is a powerful and versatile search and analytics engine that is widely used for indexing, searching, and analysing large volumes of data. Elasticsearch is open-source software, which means it is freely available and has a vast community of developers and users contributing to its improvement and providing support. This training course will be highly beneficial for individuals and organisations, as it helps unlock the full potential of Elasticsearch and ensures efficient utilisation of the technology. This training course opens doors to diverse career opportunities, especially in international businesses, diplomacy, tourism, and language-related professions

The Knowledge Academy’s 1-day Elasticsearch Training course provide delegates with in-depth understanding of During this training course, delegates will acquire comprehensive understanding of Elastic research. They will develop a strong foundation in search and analyse data and search labs. This training will be conducted by our highly professional and skilled trainer, who has years of experience in teaching

Course Objectives:

  • To learn how to create, update, and delete documents in Elasticsearch
  • To gain knowledge about troubleshoot common issues and errors
  • To understand best practices for securing Elasticsearch clusters
  • To develop skills in APIs and developer docs
  • To understand data modeling and mapping in Elasticsearch
  • To learn how to scale Elasticsearch clusters horizontally

After attending this training course, delegates will be able to have a solid foundation in the core concepts of Elasticsearch, and they will gain practical experience in configuring and managing Elasticsearch clusters, integrating with various data sources, and implementing security measures. Delegates will be well-prepared to apply their skills in various aspects of Elasticsearch which making it a valuable asset for data analysis, search solutions, and beyond.

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What’s included in this Elasticsearch Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Elasticsearch Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Introduction to NoSQL Course Outline

Module 1: Database Management

  • Information Systems and Databases
  • SQL Databases
  • Big Data and NoSQL Databases
  • Graph Databases
  • Document Databases
  • Organisation of Data Management

Module 2: Database Modeling

  • Requirements Analysis to Database
  • Entity-Relationship Model
  • Implementation in the Relational Model
  • Implementation in the Graph Model
  • Implementation in the Document Model
  • Formula for Database Design

Module 3: Database Languages

  • Interacting with Databases
  • Relational Algebra
  • Relational Language SQL
  • Graph-Based Language Cypher
  • Document-Oriented Language MQL
  • Database Programming with Cursors

Module 4: Database Security

  • Security Goals and Measures
  • Access Control
  • Integrity Constraints
  • Transaction Consistency
  • Soft Consistency in Massive Distributed Data
  • Transaction Control Language Elements

Module 5: System Architecture

  • Processing of Homogeneous and Heterogeneous Data
  • Storage and Access Structures
  • Translation and Optimisation of Relational Queries
  • Parallel Processing with MapReduce
  • Layered Architecture
  • Use of Different Storage Structures
  • Cloud Databases

Module 6: NoSQL Databases

  • Development of Non-relational Technologies
  • Key-Value Stores
  • Column-Family Stores
  • Document Databases
  • XML Databases
  • Graph Databases
  • Search Engine Databases
  • Time Series Databases

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Who should attend this Introduction to NoSQL Course?

This NoSQL Course is suitable for individuals seeking to understand database systems without prior experience, making it accessible to beginners. This course can be beneficial for a wide range of professionals, including:

  • Database Administrators
  • Software Developers
  • Data Engineers
  • Data Analysts
  • System Architects
  • DevOps Engineers
  • Business Intelligence Analysts
  • Data Scientists

Prerequisites of the Introduction to NoSQL Course

There are no formal prerequisites for attending this NoSQL Training Course.

Introduction to NoSQL Course Overview

In this comprehensive introduction to NoSQL, we explore the evolving landscape of non-relational databases and their growing importance in handling large-scale, unstructured data. This course unveils the unique advantages of NoSQL databases, making them essential for modern applications dealing with massive, diverse datasets.Proficiency in NoSQL is crucial for Database Administrators, Data Architects, and Software Developers seeking to implement scalable and flexible database solutions. Mastering NoSQL technologies becomes vital for professionals dealing with big data challenges and real-time applications as data expands in volume, variety, and velocity.

The Knowledge Academy’s 1-day intensive training equips delegates with essential NoSQL concepts, practical implementation strategies, and best practices. Delegates will gain hands-on experience, enabling them to efficiently deploy NoSQL solutions in their projects, thereby enhancing their data management capabilities and scalability.

Course Objectives

  • To understand the fundamental concepts of NoSQL databases
  • To distinguish between various NoSQL database types
  • To apply NoSQL databases to real-world scenarios
  • To explore NoSQL data modeling techniques
  • To evaluate the scalability and performance of NoSQL
  • To integrate NoSQL databases with existing applications

After completing this course, delegates will receive the NoSQL Certification, signifying their understanding and ability to apply NoSQL databases in practical settings. This certification enhances professional credibility and opens new data management and analysis opportunities.

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What’s included in this Introduction to NoSQL Course?

  • World-Class Training Sessions from Experienced Instructors
  • Introduction to NoSQL Certificate
  • Digital Delegate Pack

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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.

Database Training FAQs

A database is a structured collection of data organised for efficient retrieval, storage, and management, enabling seamless access to information and supporting various applications and systems.
Database training is crucial as it equips individuals with the skills to manage and optimise data systems effectively, ensuring data integrity, security, and streamlined operations in an increasingly data-centric business environment.
Taking our Database Course empowers delegates with a deep understanding of database management, optimising query performance, implementing robust security measures, and troubleshooting issues, ensuring they emerge well-prepared for real-world database challenges.
There are no formal prerequisites to attend this course.
This course is ideal for IT professionals, database administrators, analysts, and anyone seeking to enhance their skills in managing and optimising databases for efficient data handling.
Yes, we provide comprehensive support throughout the course, including access to expert instructors, online resources, and a collaborative learning environment to ensure a fulfilling and successful learning experience.
Topics covered include database fundamentals, query optimisation, security measures, data integration, backup and recovery procedures, and staying updated on the latest advancements in database technologies.
The duration of these courses spans across 1 to 2 days.
Database Course hones skills in database management, query optimisation, security implementation, troubleshooting, and staying abreast of industry trends, fostering a well-rounded proficiency in effective data handling.
Upon completion, delegates can pursue roles as Database Administrators, Data Analysts, System Administrators, or IT Specialists, with opportunities spanning various industries that rely on efficient data management.
The Knowledge Academy is the Leading global training provider for Database Training.
The training fees for Database Training in Canada starts from CAD2195.
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Flexible delivery methods are available depending on your learning style.

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Resources are included for a comprehensive learning experience.

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"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"

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