ETL Testing Course

100% Job Oriented Training

What is ETL?

E = Extract
T = Transform
L = Load

Extraction, transformation, and loading (ETL) is the broad process of transferring data through one or more sources of data into a destinations system that represents that data differently than the source, according to Wikipedia (s). In data warehousing, the ETL technique is frequently employed.

Extracting data from homogenous or heterogeneous sources is known as data extraction.

For the objectives of querying and analysis, data transformation cleans and transforms the data into the appropriate storage format or structure.

The act of inserting data into a target data repository, data mart, data lake, or data warehouse is known as data loading.

An ETL Testing Course that is appropriately constructed pulls data from source systems, upholds data consistency and quality requirements, and complies data so that different sources can be combined, and lastly provides data in a manner that is ready for present.

Why conduct an ETL?

To routinely (daily/weekly) load a database system or data mart in order for it to facilitate business analysis. A big data lake, data warehouse, or data mart can also be used to transport data from files, XML, or other sources.

What is the ETL process like to use?

  1. Extract – Data is extracted by ETL developers through one or more systems, files, or other sources and copied into the data warehouse.
  2. Transform – They clean up irregularities, put everything in a logical order, fill in blanks, summarise the specifics, and create new fields to hold calculated data. In an ETL procedure, most data are not transformed.
  3. Load – The data is transformed and/or loaded into data warehouse after being mapped to the appropriate tables and columns.

Who participates in the ETL procedure?
At least four roles are engaged. As follows:

  • Data analyst: Develops data needs.
  • Data architect: creates models and data stores. 
  • ETL developer: Data is transformed and loaded from sources into destination data repositories by an ETL developer.
  • ETL Tester: Verifies the data as it transforms and moves from source to targets based on mappings.

How is ETL testing carried out?

ETL Testing training is the process of validating data as it is transferred between data stores. The ETL Tester employs a Mapping Document, commonly referred to as a source-to-target map if one is accessible. This essential component is necessary to effectively plan the desired Data Stores. The Extract, Transform, and Load (ETL) procedure is also described.

Business rules, a data flow diagram, and data mobility requirements are all intended to be captured. The Mapping Document outlines the definition of the source input, target and output information, and business and data transformation rules. ETL testing course fees is also affordable to the one who are interested.

The following is a typical ETL testing procedure:

  • Examine the business rules and schema mappings

Within such a file or database, data is arranged according to schemas Business rules are sometimes contained in a mapping document and are also known are mappings or source-to-target mappings. The document’s mapping tables include the specifications or guidelines for extraction, transforming (if necessary), and trying to load (ETL) data from source databases and files into the destination database system or big data repository. In particular, the mapping fields display:

  • Table titles, field names, data types, and field lengths for both the source and the target
  • How the different target data set’s source tables and files should be connected
  • Any transformational reasoning to be used
  • Any operational guidelines that will be used
  • Produce test instances

Typically, each Mapping will have its own test case. Typically, a test case will have two (Also known as “Stare & Compare”) Compare. There will be a lot of scrolling down the compare 1000s or maybe millions of rows and a lot of shifting to the right to evaluate dozens, if not hundreds, of columns.

  • Carry out tests and export outcomes

Usually, a SQL editor like Toad, Macaque, DBeaver, or other favourite editors is used to run these tests. Two Excel files are used to store the test data from two queries.

  • Compare Outcomes

By eye comparison, compare every result set in the reference spreadsheet to the target spreadsheet. (Sometimes referred to as “Stare & Compare”) There will be a lot of scrolling down to evaluate tens of thousands or maybe millions of rows and a lot of scrolling to a right to evaluate dozens, if not hundreds, of columns.

ETL testing can be done in four different ways:

  • Sample 
  • Minus Questions
  • using tools, utilities, and frameworks from home
  • using a for-profit program like Query Surge

Why ETL Testing Course from Selenium Training in Pune

  1. In the selenium training in Pune, they also cover realistic projects and real-world problems.
  2. They provide the students with unrestricted calls and complete placement support.
  3. The instructors are subject matter experts who provide selenium training in accordance with market demands.

Opportunities For Employment and The Future For Such an ETL Developer

ETL testing certification is undoubtedly a component of data science, that uses big data. The gathering and processing of the data, meeting customer needs, and managing the expense of data transfer and storage are the three key responsibilities of a data engineer. Given the exponential growth of data, it suggests that ETL testing course online will pave the way for a prosperous future. ETL developers have several opportunities because prominent MNCs like IBM & Deloitte work on ETL projects. Without a doubt, those active in the sector of big data and associated technologies have a bright future. average yearly income

An ETL developer’s typical yearly income in the USA roughly $127,000. An ETL developer’s pay typically varies between $95,000 to $135,000. It demonstrates the positive potential for career progression in this area.

The process of extracting data from various (that are not designed for analytics) and moving it to a centralized host is known as ETL (is). Although the precise steps within this process may vary from one Embedded system to another, the outcome is always the same.

The data extraction, modification, and loading phases of the ETL process are its most fundamental components. Although the acronym implies a straightforward, three-step procedure (extract, convert, load), this short explanation leaves out:

  • the data transfer process
  • Each one of these stages’ overlaps with the others.
  • How modern technology is modifying this flow

Qualifications For ETL Developer

The primary responsibility of an ETL programmer is to extract, convert, and load data such that the analytics team can use the processed data effectively. Here are the talents you need to have if you really want to work as an ETL developer.

  • Knowledge of SQL
  • JavaScript, Python, Perl, & Bash are just a few examples of scripting languages
  • Frequently used ETL programs include Informatica, Pentaho, and Talend.
  • Creativity and organizational abilities
  • Debugging or problem-solving abilities
  • Parameterization

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The detailed syllabus is designed for freshers as well as working professionals

Course Contents

Datawarehousing - ETL Testing

1. RDBMS Concepts
• Data Models
• Entity Relationship Model
• Normalization

2. SQL Overview
• Introduction to SQL
• Data types
• SELECT Statement
• Operators
• Pseduo Column

3. SQL Statements

4. Join
• Inner/Equi Join
• Non-Equi/Cross Join
• Self Join & Outer Join

5. Constraints
• Primary Key Constraint
• Foreign Key Constraint
• Unique Key Constraint
• Not Null Constraint
• Check Constraint

6. Set Operator
• Types of Operators

7. Sub Query
• Sub/Inner Query

8. Built-in Functions
• Aggregate Functions
• Character Function
• String Functions
• Case Manipulation Functions
• Date Functions
• Analytical Functions

1. Datawarehouse Fundamental
• Datawarehouse Overview
• DWH Characteristics
• Types of Datawarehouse
• Data Mart
• Database vs Data Warehouse
• Data Mart vs Data Warehouse
• Data Warehouse benefits
• DWH Architecture

2. Datawarehouse Terminologies
• Data Cleansing, Partitioning
• Staging area, Metadata
• Surrogate Key
• Snapshot, View and Materialized View
• Meta Data, Data Mining & Data Cube

3. Dimension Modeling
• Facts and Dimensions
• Hierarchies and Levels
• Measures & DWH Schema
• Star, Snow-flake and Galaxy Schema
• Additive, Semi Additive, Non Additive

4. ETL Overview
• Process Flow of ETL
• Types of Sources and Target
• ETL Data Load types
• Active vs Passive transformation
• Extraction Methods in ETL
• Tracing Level
• Types of Data used for ETL Process

5. Slowly Changing Dimension
• What is Slowly Changing Dimension?
• SCD Types : Type-1, Type-2, Type-3

6. ETL Testing Process
• Categories of ETL Testing
• Types of ETL Testing
• How to create ETL Test Case
• ETL Test Scenarios and Test Cases
• Types of ETL Bugs/Defects
• Responsibly of ETL Tester

7. OBIEE/BI Overview
• Introduction to OBIEE
• Business Intelligence Basics
• Overview of Reports
• Slice and Dice
• Roll-up and Drill-down & Pivot

1. Informatica Tool Overview
• Introduction to Informatica
• How developers work on Power Center
• Different components of Power Center
and uses
• Tasks performed in different
• Mapping, Session, Worklet, Workflow,
• Naming Conventions

2. Designer Component
• Working with Sources
• Working with Flat Files
• Working with Targets
• Data Transformation Source and Target
• Mapping Parameters and Variables
• Uses of Mapping Wizards

3. Workflow Manager Component
• Workflow Manager Overview
• Workflow Designer
• Task Developer
• Worklet Designer
• Using Workflow Wizard
• Creating a Task
• Configuring Task
• Workflow links
• Validating Tasks,Workflows
• Scheduling and Running Workflows

4. Workflow Monitor Component
• Workflow Monitor Overview
• Using Workflow Monitor
• Working with Tasks and Workflows
• Workflow and Task Status
• Using Gantt Chart and Task Views
• Session and Workflow Logs

5. Transformation
• How to use Transformations
• Aggregator Transformation
• Expression Transformation
• Filter Transformation
• Router Transformation
• Union Transformation
• Rank Transformation
• Sorter Transformation
• Joiner Transformation

1. Overview of UNIX Operating System
2. Useful Commands
3. Command Manuals
4. Regular Expressions
5. Filter
6. File Attributes
7. Job Scheduling
8. Archive/Compress File
9. Editor : vi, sed
11.File copy/transfer in UNIX Server


How much schooling you need to become an ETL tester is among the first factors to worry about. We found that bachelor’s degrees are held by 69.6% of ETL testers. We discovered that 27.9% of ETL testers hold master’s degrees in terms of qualifications. Even though the majority of testers hold a college degree, obtaining one with just a high school diploma or GED is not an option.  We discovered that bachelor’s degree or master’s degree holders are the most prevalent among ETL testers when we looked into the most popular majors for them.

The three different, interconnected phases of extraction, transform, and load are referred to as ETL in the context of data integration. Data must first be extracted and transformed from various systems before being loaded into the right data warehouse.

Another type of testing that’s also preferred in business cases when the clients are looking for a certain type of reporting demand is ETL testing. The reporting is required in order to examine the needs, wants, and supplies in order to better serve and benefit clients, businesses, and end users.

ETL Testing course with a business focus. During three to twelve weeks, eight hours every week.

The average yearly compensation for ETL Testers in India is 5.5 Lakhs, with salaries ranging from 4.0 Lakhs to 8.2 Lakhs. Salary projections are based on the 1.9k salaries that ETL Testers have provided.

Being such an ETL testing programmer for much more than 4 years, I can attest to the difficulty and busyness of the job. difficult since you have to deal with historical data

Course for ETL Certification. You may learn etl testing online course through Intellipaat’s ETL Testing training. To assist you in learning Data Warehouse space, OLAP, OLTP, implementing SQL for data verification, and the fundamentals of Business Intelligence, we offer the best online training. You have the option to work on actual business initiatives as part of your training.

Modes of the ETL training would be both online and offline mode.

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