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 Organizations

  • Create an Organization
  • Create an Organization in the InfluxDB UI
  • View Organizations
  • Update an Organization

Module 7: Notebook

  • Creating Notebook
  • Convert to Flux
  • Change Visualization Result
  • Create Alert Task
  • Scheduling a Task
  • Deleting Notebook
  • Normalize Data

Module 8: Visualize Data with the InfluxDB UI

  • Manage InfluxDB Dashboards
  • Use and Manage Variables
  • Manage Labels in the InfluxDB UI
  • Use Annotations in Dashboards
  • Visualization 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 in the United States is designed for individuals who want to learn how to manage and analyze 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 in the United States emerges as a specialized 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 in the United States engaged in data science, IoT, and DevOps, mastering the InfluxDB database is imperative. InfluxDB plays a crucial role in managing and analyzing 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 in the United States with the expertise to navigate this specialized 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 optimize 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 visualization 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 specialized 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 in the United States 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 in the United States emerges as a crucial exploration of the Redis database system, specifically its cluster functionality. Redis, known for its speed and versatility, is widely utilized 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 in the United States empowers individuals to harness the full potential of Redis, optimizing 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 in the United States 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 optimizations 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 in the United States will gain practical insights into optimizing 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
  • Entity 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 in the United States 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 digitized world, the Database Training Course in the United States 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 Courses in the United States. 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 optimize queries for enhanced performance. The training in the United States 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 optimize 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 this course, delegates in the United States 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 efficiently 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 in the United States 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 in the United States 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 in the United States 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 in the United States will learn to harness the power of GraphQL to optimize 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 optimize 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 in the United States 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 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 Normalization
  • Normalization to the First Normal Form (1NF)
  • Normalization to the Second Normal Form (2NF)
  • Normalization to the Third Normal Form (3NF)
  • Benefits of Normalization
  • 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
  • Denormalization 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 in the United States 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 in the United States 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 organizing information for optimal functionality and accessibility.

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

This 1-day course by the Knowledge Academy empowers delegates in the United States with practical skills to design and manage relational databases effectively. From understanding the principles of data normalization 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 normalization 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 normalization techniques to enhance database efficiency

Upon completing the Relational Databases & Data Modelling Training Course, delegates in the United States 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 organizational 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 in the United States 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 in the United States 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 organizations 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 United States. 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 in the United States by the Knowledge Academy, delegates will delve into the intricacies of Teradata, learning to leverage its capabilities for optimized 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 optimize 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 in the United States 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 organizations' 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 Optimized

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 in the United States 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 in the United States —a specialized 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 the United States. 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 in the United States is designed to equip delegates with practical skills essential for MariaDB database administration. From foundational concepts to advanced techniques, delegates will learn to optimize MariaDB databases, implement security measures, and troubleshoot common issues.

Course Objectives

  • To comprehend the architecture and functionalities of MariaDB databases
  • To optimize 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 in the United States will emerge with a heightened understanding of MariaDB database administration. Armed with optimized 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?

The Snowflake Training Course in the United States is tailored for individuals aiming to deepen their expertise in cloud-based database management and analytics. This training course is suitable for anyone who wants to gain in-depth knowledge of the Snowflake interface. This course will benefit the following professionals:

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

Prerequisites of Snowflake Training

There are no formal prerequisites for this Snowflake Training Course.

Snowflake Training Course Overview

The rise of cloud-based solutions has revolutionized the way organizations manage their data, making Database Courses in the United States increasingly vital. Among these, Snowflake stands out for its unique architecture and capabilities, positioning it as a crucial tool for data-driven decision-making and analytics.

Understanding Snowflake is essential for IT professionals, data analysts, and database administrators aiming to enhance their Database Certification. This course in the United States ensures efficient data storage, processing, and analytics, crucial for businesses in the digital age. Professionals in these fields should consider mastering Snowflake to stay competitive and innovative.

The Knowledge Academy's 1-day Snowflake training equips delegates with foundational and advanced skills in Snowflake. This Database Certification Course in the United States covers everything from basic database concepts to complex data manipulation and analysis techniques, preparing participants for immediate and effective application in their professional roles.

Course Objectives

  • To understand Snowflake's architecture and integration capabilities
  • To master data loading, transformation, and querying within Snowflake
  • To gain insights into managing and optimizing Snowflake environments
  • To learn about Snowflake's security features and best practices
  • To prepare for Database Certification exams with practical knowledge and skills

Upon completion, delegates in the United States will possess a comprehensive understanding of Snowflake, enabling them to leverage its full potential for data storage, analysis, and management. This course not only prepares participants for Database Certification but also enhances their competencies in navigating the complexities of cloud-based data solutions, ensuring they can contribute significantly to their organizations' data strategies.

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What's included in this Snowflake Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Snowflake 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 in the United States is designed for individuals who want to learn how to implement, manage, and optimize 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

In the digital era, the ability to quickly search, analyze, and visualize large volumes of data is paramount. Elasticsearch, a powerful open-source search and analytics engine, is at the forefront of this capability, making Database Courses in the United States focused on it increasingly important for efficient data handling and insights.

Mastering Elasticsearch is crucial for professionals in the United States involved in search engine optimization, data analysis, and information retrieval. Database Administrators, Software Developers and Search Engineers are among those who can significantly benefit from this knowledge, enhancing their Database Certification and data manipulation skills.

The Knowledge Academy's 1-day Elasticsearch in the United States is designed to provide delegates with a comprehensive understanding of Elasticsearch's capabilities. This Database Certification Course covers fundamental concepts, data indexing, search techniques, and analytics, equipping participants with the skills needed to implement and manage Elasticsearch solutions effectively.

Course Objectives

  • To understand the core concepts and architecture of Elasticsearch
  • To learn how to index, search, and analyze data within Elasticsearch
  • To master the creation and management of Elasticsearch clusters
  • To gain insights into data aggregation and analytics with Elasticsearch
  • To develop skills in troubleshooting and optimizing Elasticsearch performance

Upon completion, delegates in the United States will have acquired a solid foundation in Elasticsearch, empowering them to deploy, manage, and utilize this powerful search and analytics engine in their professional roles. This course not only aims at enhancing Database Certification credentials but also equips delegates with the practical skills required to handle real-world data challenges efficiently.

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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
  • Organization 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 Optimization 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 in the United States 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 7204454674 or Inquire.

Database Training FAQs

A database is a structured collection of data organized for efficient retrieval, storage, and management, enabling seamless access to information and supporting various applications and systems.
Training in database is crucial as it equips individuals with the skills to manage and optimize data systems effectively, ensuring data integrity, security, and streamlined operations in an increasingly data-centric business environment.
Taking our Database Courses empowers delegates with a deep understanding of database management, optimizing 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.
The duration of these courses spans across 1 to 2 days.
Topics covered include database fundamentals, query optimization, security measures, data integration, backup and recovery procedures, and staying updated on the latest advancements in database technologies.
Database Courses hone skills in database management, query optimization, 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 in the United States is a coveted training provider which offers multiple courses, comprehensive course content, experienced instructors, flexible learning options, and industry recognition, making it a reliable choice for attending the Advanced Technology Courses.
Please see our Database Training courses available in the United States
The Knowledge Academy is the Leading global training provider for Database Training.
The training fees for Database Training in the United States starts from $1595.
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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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