ADVAITH - A BIG DATA TESTING FRAMEWORK

• A framework for validating data in ETL/ Migration projects involving heterogeneous data stores.

• Advaith is a scalable, high-performing and reliable framework.

• Supports data validation on any RDBMS as well as Big Data technologies.

• Data validation can be performed on data lake stores – currently supports parquet format files and very soon, will support other file formats.

• Supports a wide range of transformations in data validation.

• The framework can also compare data in RDBMS and data.

• Advaith will be made available as a cloud offering.

FEATURES & INTEGRATIONS

• ADVAITH (Agile Development and Validation In The Hadoop) can be seamlessly integrated into the Data Vision+, the testing tool build by Trianz

• This integration enables the Data Vision+ to extend the capabilities to test data on Big Data platforms; compare data on RDBMS with Big Data and vice versa

• Cloud offering

BENEFITS

• Scales data validation in a distributed architecture based on data loads and thus, improves the overall efficiency of data validation cycles

• Automates regression cycles and reduces the total cost of quality

• Highly user friendly and intuitive interface enables quick self-service of the product

• A compliance-friendly digital store of all test cases, test executions and cycles with complete audit and control information

• Generates reports and dashboards showcasing quality improvements with each cycle