Database Training

Online Instructor-led (1 days)

Classroom (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 Course. However, a basic knowledge of clustering and Redis would be beneficial.

Redis Cluster Database Training Course Overview

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)

Classroom (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

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)

Classroom (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 this Introduction to Database Training Course?

This Introduction to Database 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 Course. However, a basic knowledge of SQL would be beneficial. 

Introduction to Database Training Course Overview

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 organising, 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 (2 days)

Classroom (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 this InfluxDB Training Course?

The InfluxDB Course 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 Course. However, a basic knowledge of time series data and SQL would be beneficial. 

InfluxDB Training Course Overview

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 analysing 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 equips delegates with the expertise to navigate this specialised database system. The training objectives range from understanding InfluxDB's architecture to optimising 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 analyse 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)

Classroom (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 Course 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

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. 

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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)

Classroom (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 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 optimising 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)

Classroom (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 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 Course. However, basic Database knowledge, SQL proficiency and Linux fundamentals would be beneficial.

MariaDB Standard DBA Training Course Overview

The MariaDB Standard DBA Training Course offers a comprehensive introduction to managing MariaDB databases, focusing on key aspects such as installation, configuration, and maintenance. Given the growing reliance on MariaDB for robust data management, mastering these skills is crucial for database administrators and IT professionals.

Understanding MariaDB's architecture and functionalities is essential for effective database management and optimisation. This course is ideal for Database Administrators, System Administrators, and IT Professionals seeking to enhance their expertise in MariaDB.

In this 1-day Database Training by The Knowledge Academy, delegates will gain practical insights into managing MariaDB databases, from basic setup to advanced configurations. Delegates will leave equipped with the skills needed to efficiently manage and maintain MariaDB environments.

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

Upon completing the MariaDB Standard DBA Training Course, delegates will have a solid foundation in managing and optimising MariaDB databases. They will be well-prepared to handle database administration tasks effectively, ensuring smooth and efficient database 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)

Classroom (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 required for this Elasticsearch Course. However, a basic knowledge of search server, applications and Elasticsearch use cases would be beneficial.

Elasticsearch Training Course Overview

Elasticsearch is a powerful search and analytics engine widely used for indexing and querying large datasets quickly and efficiently. Its relevance in today's technology landscape is underscored by its ability to provide real-time search capabilities and insights across various applications and industries.

Mastering Elasticsearch is crucial for IT Professionals, Developers, and Data Analysts who need to implement advanced search functionalities and handle large-scale data operations. Understanding Elasticsearch helps in optimising search performance and data retrieval, essential for delivering high-quality user experiences and operational efficiency.

This 1-day Database Training by the Knowledge Academy will equip delegates with practical skills and knowledge to implement, manage, and optimise Elasticsearch deployments. Delegates will learn how to leverage Elasticsearch’s full potential to meet their organisation's search and analytics needs effectively.

Course Objectives

  • To understand the core concepts and architecture of Elasticsearch
  • To configure and deploy Elasticsearch clusters for optimal performance
  • To implement advanced search functionalities and queries using Elasticsearch
  • To manage and maintain Elasticsearch indices and data
  • To integrate Elasticsearch with other technologies for enhanced data processing
  • To troubleshoot common issues and optimise Elasticsearch performance

Upon completion of this Database Training, delegates will be proficient in using Elasticsearch to build robust search and analytics solutions. They will be able to apply their skills to enhance data retrieval processes and improve overall system performance.

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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)

Classroom (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

NoSQL databases offer flexible, scalable, and high-performance solutions for managing diverse data types and structures. Understanding NoSQL is crucial in today’s data-driven world as traditional relational databases often fall short in handling large volumes of unstructured or semi-structured data.

For professionals such as Data Engineers, Software Developers, and IT Consultants, mastering NoSQL can significantly enhance their ability to design and implement efficient, scalable data storage solutions. This course is essential for those involved in managing big data applications or working in cloud-based environments.

In this 1-day Database Training by the Knowledge Academy, delegates will gain a foundational understanding of NoSQL databases, explore different types (document, key-value, column-family, and graph databases), and learn practical skills for integrating NoSQL into their existing systems. This will empower them to make informed decisions on data management and optimise their data handling strategies effectively.

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 NoSQL Database Training, 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 +45 89870423 or Enquire.

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.
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 Database Training 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 Database Training 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 Database Courses varies. Kindly refer to the specific course pages for more detailed information.
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 of the Database Training Course, 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.
This Database Training Course can enhance your business's data management processes by equipping your team with advanced skills in database design, administration, and optimisation. This will lead to more efficient data handling, improved decision-making, and streamlined operations.
Absolutely, the Database Training Course covers compliance aspects related to data handling and security. You'll gain insights into maintaining regulatory standards and implementing necessary controls.
Yes, improved data management from this training can enhance CRM systems. Better data accuracy and accessibility lead to more effective customer interactions and strategies.
Database Certification validates your skills and knowledge, making you more attractive to employers. It demonstrates your expertise and commitment to working with complex data systems.
The Database Training Courses are regularly updated to reflect the latest technologies and best practices. It includes current industry developments, ensuring you stay ahead in data management.
The Knowledge Academy is a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking these Database Training Courses.
The Knowledge Academy is the Leading global training provider for Database Training.
The training fees for Database Training in Denmark starts from DKK15595
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