Our ETL testing training program in Hyderabad covers comprehensive topics such as ETL testing, certification, data testing, specialized courses

Our ETL testing training program in Hyderabad covers comprehensive topics such as ETL testing, certification, data testing, specialized courses

1. ETL Testing Ensuring Data Integrity and Quality

2. Introduction to ETL ETL—meaning extract, transform, load—is a data integration process that combines, cleans and organizes data from multiple sources into a single, consistent data set for storage in a data warehouse, data lake or other target system. ETL is the process of combining data from multiple sources into a large, central repository called a data warehouse.

3. ETL Process Overview

4. Key Objectives of ETL Testing

5. How to do ETL Testing? ETL testing process is summarized in the following three steps: First, the ETL code is executed to generate the output data. Then the output data is compared with the predetermined expected data. Based on the comparison results, the quality of the ETL process is determined. First, the ETL code is executed to generate the output data. Then the output data is compared with the predetermined expected data. Based on the comparison results, the quality of the ETL process is determined.

6. ETL Testing Concepts 1. Static ETL Testing For static ETL testing only the output data is used for certifying the ETL process. The output value generated by ETL process is compared to a fixed value(s) or a condition that is previously known or defined by the tester. The input data used by the ETL process is not taken into considerations. 2. Dynamic ETL Testing For dynamic ETL testing both input and output data is taken into considerations while testing the ETL process. In many cases the output data of an ETL process is totally dependent on the input data provided at runtime to the ETL process. Even though the transformation logic is fixed, the final value cannot be determined without knowing the input values used by the ETL process at runtime.

7. Types of ETL Testing The types of ETL testing are listed below ETL Source Data Validation Testing ETL Source to Target Data Reconciliation Testing ETL Data Transformation testing ETL Data Validation ETL Referential Integrity Testing ETL Integration Testing ETL Performance Testing ETL Functional Testing ETL Unit Testing ETL Validation

8. Why is ETL Testing Important for Businesses? By preventing data loss and duplicate records, ETL testing aids in the process of verification, qualifying data, and validation. ETL testing services amalgamate data from numerous sources and helpfully transform the information. Additionally, this allows the operator to easily access the data via a single interface, lessening their reliance on your IT team. ETL Testing helps to develop, monitor, and confirm the migrated/integrated information, data profiling, data sources, and data quality and fulfills the criteria of data transformation rules and Performance Acceptance Criteria in addition to validating the information. Additionally, ETL testing tools boost IT productivity and simplify obtaining data from big data to enhance insights. It is unnecessary to employ conventional programming techniques that are work-focused and expensive because the ETL tool itself includes strategies and protocols for data extraction, monitoring, and analysis. ETL testing is, therefore, one of the most critical components of considerable data testing for every firm. Cloud data repositories, ERP, and CRM platforms like Amazon Web Services, Salesforce, Oracle, NetSuite, Google Chrome, and others have inherent consistency with ETL testing tools