Data Warehouse ETL Testing_1

Data Warehouse / ETL Testing, available at $54.99, has an average rating of 4.55, with 247 lectures, based on 30 reviews, and has 226 subscribers.

You will learn about Master the Command Line and Dozens of Commands Become an Independent User of the Linux Operating System Creating, renaming, moving, and deleting files and directories Understand the basic and Intermediate concepts of databases and MySQL Learn how to create database tables using SQL commands Learn SQL operators to write complex SQL queries Learn about different SQL functions and constraints including NULL values Foundational Data warehousing concepts Learning all the concepts and terminologies related to the Data warehouse , such as the OLTP, OLAP, Dimensions, Facts, Star Schema, Snowflake Schema Data Warehouse Architecture, Data Mart, Data Warehouse Schema and SCDs You would also learn the basics of Data Modelling Data design Gain an in-depth understanding of Data Warehouse WorkFlow and comparison between Database Testing and Data Warehouse Testing Get to know what is ETL Testing and RDBMS Concepts Understand different ETL Testing scenarios like Constraint Testing, Source to Target Testing, Metadata check,Data Mismatch Check,Data Completeness Validation This course is ideal for individuals who are Beginners who want to learn the complete concepts of ETL from very Beginning or Database developers and database administrators. or Students who wish to learn a new skill to develop their career. or Professionals who wish to learn a new skill to develop their career. It is particularly useful for Beginners who want to learn the complete concepts of ETL from very Beginning or Database developers and database administrators. or Students who wish to learn a new skill to develop their career. or Professionals who wish to learn a new skill to develop their career.

Enroll now: Data Warehouse / ETL Testing

Summary

Title: Data Warehouse / ETL Testing

Price: $54.99

Average Rating: 4.55

Number of Lectures: 247

Number of Published Lectures: 247

Number of Curriculum Items: 247

Number of Published Curriculum Objects: 247

Original Price: ?2,699

Quality Status: approved

Status: Live

What You Will Learn

Master the Command Line and Dozens of Commands

Become an Independent User of the Linux Operating System

Creating, renaming, moving, and deleting files and directories

Understand the basic and Intermediate concepts of databases and MySQL

Learn how to create database tables using SQL commands

Learn SQL operators to write complex SQL queries

Learn about different SQL functions and constraints including NULL values

Foundational Data warehousing concepts

Learning all the concepts and terminologies related to the Data warehouse , such as the OLTP, OLAP, Dimensions, Facts, Star Schema, Snowflake Schema

Data Warehouse Architecture, Data Mart, Data Warehouse Schema and SCDs

You would also learn the basics of Data Modelling Data design

Gain an in-depth understanding of Data Warehouse WorkFlow and comparison between Database Testing and Data Warehouse Testing

Get to know what is ETL Testing and RDBMS Concepts

Understand different ETL Testing scenarios like Constraint Testing, Source to Target Testing, Metadata check,Data Mismatch Check,Data Completeness Validation

Who Should Attend

Beginners who want to learn the complete concepts of ETL from very Beginning

Database developers and database administrators.

Students who wish to learn a new skill to develop their career.

Professionals who wish to learn a new skill to develop their career.

Target Audiences

Beginners who want to learn the complete concepts of ETL from very Beginning

Database developers and database administrators.

Students who wish to learn a new skill to develop their career.

Professionals who wish to learn a new skill to develop their career.

Data Warehouse / ETL Testing is a testing method in which the data inside a data warehouse is tested for integrity, reliability, accuracy and consistency in order to comply with the company’s data framework. The main purpose of  testing is to ensure that the integrated data inside the data warehouse is reliable enough for a company to make decisions on.

The Data Warehouse/ETL testing course videos contain Data warehouse Testing, ETL Testing Scenarios, Data checks and many more complex topics explained in a detailed manner which will be helpful to compete with other Organizations. Usually ETL Testing verifies whether the ETL process is working properly.

ETL Testing is a crucial part of ETL because ETL is typically performed on mission critical data.

23+ hours of on demand videos

Clarifications through community

Right blend of concepts and hands-on

In this course, you will:

The difference between Data and Information

Why do we need Data?

Learn the ins and outs of SQL syntax

What is RDBMS and its History?

Database Objects and Database Design

Learning about the Keys and Constraints

Explaining the Normalization and its types

Understanding the Transactions and its types

How to write SQL queries to Manipulate data

How to write SQL queries to insert, update and delete data into database

Analyze data using Aggregate Functions

Testing

Life Cycle of STLC

Types of Testing

What is ETL?

Data Checks

What is Validation?

Validation Checks

Types of Checks

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: History of Computer

Lecture 3: Components of Computer

Lecture 4: Functionalities of Computer

Lecture 5: Software Components

Chapter 2: Operating System

Lecture 1: What is Operating System

Lecture 2: Types of Operating System

Chapter 3: Linux and its Conmmand

Lecture 1: Directory Commands

Lecture 2: File Commands

Lecture 3: Listing Files

Lecture 4: Copy and Move Commands

Lecture 5: More Command

Lecture 6: Cat Command

Lecture 7: Regular Expression with GREP

Lecture 8: GREP Hands-On

Lecture 9: Diff Command Theory and Hands-On

Lecture 10: Cmp Command Theory and Hands-On

Lecture 11: Pipes Line Command Theory and Hands-On

Lecture 12: Man Command Theory and Hands-On

Lecture 13: Process Monitoring Command Theory

Lecture 14: Process Monitoring Hands-On

Lecture 15: File Permission Part 1

Lecture 16: File Permission Part 2

Lecture 17: Networking Command Theory and Hands-On

Lecture 18: Admin Command Theory and Hands-On

Lecture 19: Compression Command Theory and Hands-On

Chapter 4: RDBMS

Lecture 1: Data vs Information

Lecture 2: Why do we need Data?

Lecture 3: Different ways of storing the Data

Lecture 4: Systems to store Data

Lecture 5: History of RDBMS

Lecture 6: What is RDBMS?

Lecture 7: What is Database?

Lecture 8: Database Components

Lecture 9: Database Components Hands-On

Lecture 10: Datatypes Theory

Lecture 11: Datatypes Hands-On

Lecture 12: Database Objects Introduction

Lecture 13: Database Object – Index

Lecture 14: Database Object – Sequence

Lecture 15: Database Object – View

Lecture 16: Database Object – View Hands-On

Lecture 17: Database Design

Lecture 18: ER Diagram Part 1

Lecture 19: ER Diagram Part 2

Lecture 20: ER Diagram Part 3

Lecture 21: Keys Introduction

Lecture 22: Super Key

Lecture 23: Candidate Key

Lecture 24: Primary Key

Lecture 25: Unique Key – Surrogate Key – Alternate Key – Composite Key

Lecture 26: Foreign Key

Lecture 27: Data Integrity Introduction

Lecture 28: Domain Integrity Check Constraint Theory

Lecture 29: Check Constraint Hands-On

Lecture 30: Default Constraint

Lecture 31: Not Null Constraint

Lecture 32: Unique Constraint

Lecture 33: Entity Integrity Constraint

Lecture 34: Entity Integrity Constraint Hands-On

Lecture 35: Referential Integrity

Lecture 36: Referential Integrity Hands-On

Lecture 37: Normalization Introduction

Lecture 38: Need for Normalization with Example

Lecture 39: Dependencies

Lecture 40: First Normal Form

Lecture 41: Second Normal Form

Lecture 42: Third Normal Form

Lecture 43: BCNF Normal Form

Lecture 44: What is Transactions?

Lecture 45: Transactions – ACID Properties

Lecture 46: What is Atomicity?

Lecture 47: What is Consistency?

Lecture 48: What is Isolation?

Lecture 49: What is Durability?

Chapter 5: Structured Query Language

Lecture 1: Introduction to SQL

Lecture 2: Types of SQL Commands

Lecture 3: DDL Commands – Create & Alter

Lecture 4: DDL Commands – Rename

Lecture 5: DDL Commands – Drop & Truncate

Lecture 6: DDL Commands – Comment

Lecture 7: DML Commands

Lecture 8: DML Commands Hands-On

Lecture 9: Ways of Inserting Data

Lecture 10: Ways of Inserting Data – Hands-On

Lecture 11: DCL Commands

Lecture 12: DCL Commands – Hands-On

Lecture 13: TCL Commands

Lecture 14: TCL Commands – Hands-On

Lecture 15: DQL Commands

Lecture 16: DQL Commands Hands-On

Lecture 17: SQL Statements

Lecture 18: Alias Theory and Hands-On

Lecture 19: Distinct Theory and Hands-On

Lecture 20: What are Operators?

Instructors

Blismos Academy
Practitioners of Big Data Engineering

Rating Distribution

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2 stars: 0 votes

3 stars: 2 votes

4 stars: 17 votes

5 stars: 11 votes

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