ETL Testing

Get Certified in  ETL testing to shape up your career

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Upcoming Training Dates
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40

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Live Sessions

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4

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Real Projects

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10

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MCQs and Assignment

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  2. Course
  3. ETL Testing

ETL stands for Extract /Transform Tool. This is a process of extracting data from source systems. ETL help to transform the information into a data type and loads the data in a single repository. ETL refers to the process of verifying, validating, and qualifying data. It also protects the formation of duplicate records and data loss. ETL testing offers the data transfer from the heterogeneous source to the central data warehouse.  Data transfer occurs in secured adherence to rules and all valid compliance checks.

What will you learn in ETL Testing

You will be able to undertsnad the  four general categories of ETL testing: new system testing, migration testing, change testing, and report testing. In further course you will learn system testing, and how data is obtained from various sources, Learn about migration testing, and how data is transferred from the source system to the data warehouse. In change testing, new data get added to the data warehouse. You can make calculations and data validation in report testing. Agile DevOps are becoming norms as it provides automated and continuous deployment practices. In cloud-based environments and processes, automated data integration with ETL testing tools is the need. This minimizes human intervention. The waterfall approach is now replaced with cloud-native and agile solutions. ETL testing is the future, and learning data management and cloud architecture are the new trends. Testometer makes sure that you get in-depth knowledge of ETL testing and hands-on experience in real-time projects. Testometer helps you to gain experience so that your career as a testing engineer can grow.

MODE OF TRAINING

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    Class Room
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    Online Training

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Why TestoMeter

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    Online Video
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    Live Classroom
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    24/7 Learning Assistance
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  • 4

    Online Certification
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    Projects Experience
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    Better opportunities
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Training Schedule

  • Date

    Feb 19 - May 12

  • Time

    10:00am to 12:00AM

  • Place

    Online Live

  • Enroll Now
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KEY FEATURES

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    Product Validation

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    Source to target count testing

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    Source to target testing

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    Report Testing

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    Data transformation testing

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    Data integration testing

CURRICULUM

  • SQL
    ➢ Detailed SQL Foundation for beginners
    ➢ Select, Insert, Update, Delete, drop, truncate, filter, Where, Group By, having, order by commands.
    ➢ Arithmetic , comparison, logical and Range operators
    ➢ IN / NOT IN, Set Operators
    ➢ Union, Union all, Intersect
    ➢ Cross Join
    ➢ Simple Queries
    ➢ Constraints
    ➢ Aggregate functions
    ➢ Alias Joins
    ➢ Simple Join, Equi join, Self-Join, Inner Join, Outer Join, Left outer Join, Right Outer Join, Full Outer Join, Subqueries, Nested Subqueries
    ➢ Rank and Dense Rank
  • UNIX: Basic
  • SQL
    ➢ Detailed SQL Foundation for beginners
    ➢ Select, Insert, Update, Delete, drop, truncate, filter, Where, Group By, having, order by commands.
    ➢ Arithmetic , comparison, logical and Range operators
    ➢ IN / NOT IN, Set Operators
    ➢ Union, Union all, Intersect
    ➢ Cross Join
    ➢ Simple Queries
    ➢ Constraints
    ➢ Aggregate functions
    ➢ Alias Joins
    ➢ Simple Join, Equi join, Self-Join, Inner Join, Outer Join, Left outer Join, Right Outer Join, Full Outer Join, Subqueries, Nested Subqueries
    ➢ Rank and Dense Rank
  • UNIX: Basic
  • What is Data Warehouse?
  • Need of Data Warehouse
  • Introduction to OLTP, ETL and OLAP Systems
  • Difference between OLTP and OLAP
  • Data Warehouse Architecture
  • Data Marts
  • ODS [Operational Data Store]
  • Star Schema and Snowflake Schema
  • What is fact table
  • What is the Dimension table?
  • Normalization and De-Normalization

 

  • ETL architecture.
  • What is ETL and importance of ETL testing
  • How DWH ETL Testing is different from the Application Testing
  • SDLC/STLC in the ETL Projects (ex: V Model, Agile, Water fall model)

 

  • Incompatible and duplicate data.
  • Loss of data during ETL process.
  • Testers have no privileges to execute ETL jobs by their own.
  • Volume and complexity of data is very huge.
  • Fault in business process and procedures.
  • Trouble acquiring and building test data.

 

  • Analyze and interpret business requirements/ workflows to Create
    estimations
  • Approve requirements and prepare the Test plan for the system testing
  • Prepare the test cases with the help of design documents provided by the
  • BA team
  • Execute system testing and integration testing.
  • Best practices to Create quality documentations (Test plans, Test Case, and Test closure summaries)
  • How to detect the bugs in the ETL testing
  • How to report the bugs in the ETL testing
  • How to co-ordinate with the developer team for resolving the defects

 

  • Data completeness.
  • Data transformation.
  • Data quality.
  • Performance and scalability.
  • Integration testing.
  • SQL Queries for ETL Testing
  • Incremental load testing
  • Initial Load / Full load testing

 

  • Informatica
  • Ab Initio
  • IBM Data stage
  • Informatica

 

  • Designer
  • Repository Manager
  • Workflow Manager
  • Workflow Monitor
  • Power Center Admin Console

 

  • Working with relational Sources
  • Working with Flat Files

 

  • Working with Relational Targets
  • Working with Flat file Targets

 

  • Expression
  • Lookup Different types of lookup Caches
  • Sequence Generator
  • Filter
  • Join
  • Stored Procedure

 

  • SCD Type1
  • SCD Type2
  • SCD Type3

 

Certification Assessments

Upon taking up this course, you would get to learn about ETL Testing, and its functionality. Learning in an online interactive manner would allow you to get a more full-view understanding of the material. After the course is completed, you would receive a verified certificate of completion.

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