Software testing is an indispensable part of the IT industry. The demand for efficient testers is mushrooming at a high level.ETL testing will help a lot in making big deals related to the diverse amount of data. Data testing and management form a vital part of the present industry. Getting a high salary job is nowadays no more a hard nut to crack with knowledge in ETL.
ETL development would be a good choice. You can learn more broader in the fields like Big Data, Data mining or BI. Also market has more job openings for ETL development with good package.
The scope of ETL testing is very bright. ETL tools like Informatica PowerCenter, Oracle Data Integrator, Microsoft SQL server integrated service, SAS, IBM infosphere information server, etc. all are in huge demand in the industry because of its demand. The scope of ETL testing will increase in the future.
ETL carrier is very good for next 5-6 years. Before getting into ETL you should have through knowledge on SQL,RDBMS. Its not mandatory to learn SQL but you will be able to co-relate between various transformations in logic. ... ETL carrier is very good for next 5-6 years
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for ETL Tester. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
ETL performance testingis a confirmation test to ensure that an ETL system can ... Apache JMeter is an Open Source tool used to load test functional behavior ... can help you not only learn the basics of data. etl testing ourse is a best choice for freshers.
- Strong knowledge of SQL. Joins, Union, Data Constraint, SQL commands, DML and DDL.
- Concepts of creating test case or scenarios from data mapping sheets.
- Unix basics commands. ...
- Basic knowledge of Data Warehouse concepts and Database.
- Concepts of ETL process
Firstly, study Software Testing in general. Then, listed below can be followed for learning ETL Testing -
Must:-
- Understand RDBMS.
- Learn Data warehousing concepts and it’s need.
- Learn to write SQL statements and keep practicing.
Good to know:-
- Learn how ETL tool (like Informatica, Datastage, Abinition etc…) works.
- PLSQL.
- Study Selenium/Python or any programming language with which you can automate ETL Testing.
Our courseware is designed to give a hands-on approach to the students in ETL Testing. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
The straight forward answer is YES, every thing is worth to learn in Testing as still in any company you work you will get a chance to modify or add new files, classes, mappings and without having the knowledge you may find it difficult to think where to start what to code, sometimes a small.and minute misconceptions of concepts make yourself fooling around.
So First learn ETL/IDQ/MDM concepts. Then you can easily learn any tool to implement those concepts. In General People who Teach these tools will take 30 - 50 hours depending upon the tool. It may take another 50 hours for you to master it by practicing.
An ETL process is at the heart of any data-centric system/ project be it Data Migration or Data Warehouse. All the data movement, transformation, and conversions are done by the ETL process in order to ensure that all the data is uniform in terms of quantity, quality, and format.
- Data Migration Carries the Potential for Data Loss or Data Truncation issues
- Business Intelligence Relies Heavily on Data
- Data Warehouses Will Play a Large Role in the Era of Big Data
What is ETL Testing?
ETL Testing is a methodology enabling a user to test an ETL process by validating and comparing source data to destination data using business rules or transformation rules . Thus, ETL testing is essentially a form of black-box testing without the bells and whistles of a full blown graphical user interface.
What to test in an ETL Process?
Data Transformation
The process of converting the data from one format or granularity to another is Data Transformation. ETL processes use filters, aggregators, lookup, and other transforms for effecting Data Transformations. .Testing and identifying data transformation issues by comparing and testing input and output data is the core activity constituting ETL testing.
Business Rules
In spite of a technically correct ETL transformation, devoid of any technical defects or issues, the likelihood of negating or violating business rules remains highly probable. This necessitates an extra step of business rules validations over and above the technical ETL testing. Thus, technical ETL testing is a part of the larger ETL testing umbrella and must be complemented by business rules testing for a comprehensive ETL test coverage.
Data Mapping
An ETL process is developed by mapping the source data attributes to the target attributes. This mapping of information to load the data from source to destination may result in data malformations, data corruption and defects. Thus, it is essential to test an ETL process for data mapping issues.
Data Quality
Amongst other things, data quality checks after an ETL process is completed includes checking that the ETL process is loading the data with correct formats, reference values, or not generating any duplicates is part of testing an ETL process.
Tools used for testing
- AnyDbTest.
- DBFit.
- DBUnit.
- NDbUnit.
- SQLUnit.
- TSQLUnit (for testing T-SQL in MS SQL Server)
- Visual Studio Team Edition for Database Professionals includes testing capabilities.
- XTUnit. etc
Top features of an ETL Testing tool
As organizations learn to adapt to an ever increasing amount of data volume and complexity of ETL processes, they are finding it tough to automate ETL testing, increase test coverage and reduce data issues at the same speed. To solve the above challenges, you need to select the right ETL Testing tool and enable your users to perform ETL testing efficiently.
Data Comparison Engine
- The most crucial piece of any ETL Testing tool is the ability to compare and validate high volume data across databases and files with different formats. Therefore, having a robust data comparison and validation engine which can analyze millions of rows, is a must have in your automation testing toolkit.
Graphical User Interface
- It is necessary to provide users with a testing tool that does not require significant training. An ETL Testing tool should enable users to create sophisticated and automated tests as well as to reduce the time it takes to implement those tests. The ability to develop ETL testing checks with drag/ drop functionality with a few clicks results in significant productivity gains.
Data Connectors
- Today, every organization has various data sources like Oracle, Teradata, Flat Files, Redshift, Snowflake, etc. Moreover, an ETL process might connect to any or all these data sources. Therefore, it is necessary to choose an ETL Testing tool that supports native integration with databases, files, and APIs.
CI/CD Integration
- Most organizations have implemented DevOps and are looking to implement DataOps. Hence, any ETL Testing tool must be integration-ready with CICD tools so that organizations can quickly embed their testing as a part of their data pipeline.
Workflow Integration
- One of the primary goals of any ETL Testing tool is to make it easier for users to automate the testing of their ETL processes. Test execution automation can be done using a scheduler, via ETL tools, or continuous tools. Therefore, having an ETL Testing tool that allows users to integrate the execution of these tests using external enterprise tools is an added benefit with increased efficiency gains across the organization.
