Big Data Testing

The smart automated Data Testing solution for Hadoop data lakes & NoSQL data stores

Big Data

Big Data is an ever-changing term – but mainly describes large amounts of data typically stored in either Hadoop data lakes or NoSQL data stores. Big Data is defined by the 5 Vs:

  • 1) Volume – the amount of data from various sources
  • 2) Velocity – the speed of data coming in
  • 3) Variety – types of data: structured, semi-structured, unstructured
  • 4) Veracity – the extent to which the data is trustworthy
  • 5) Value – ensure insights from the data have value beyond the underlying cost

“70% of enterprises have either deployed or are planning to deploy big data projects and programs this year”

– Analyst firm IDG

“75% of businesses are wasting 14% of revenue due to poor data quality”

– Experian Data Quality

“19.2% of big data app developers say quality of data is the biggest problem they consistently face.”

– Evans Data Corporation

“Data quality costs (companies) an estimated $14.2 million annually”

– Gartner

Big Data is growing at a rapid pace. According to IBM, 90% of the world’s data has been created in the past 2 years. And with Big Data comes bad data.

And this is important because C-level executives are using BI & Analytics to make critical business decisions with the assumption that the underlying data is fine.

We know it is not.

Big Data Testing Issues

Typical testing around traditional data warehouses or databases revolve around structured data and using SQL to accomplish the testing.

Big Data testing is completely different. Big Data deals with not only structured data, but also semi-structured and unstructured data and typically relies on HQL (for Hadoop), relegating the 2 main methods, Sampling (also known as “stare and compare”) and Minus Queries, unusable.

Big Data Testing with QuerySurge

QuerySurge is the smart Data Testing solution that automates the data validation & testing of Big Data, Data Warehouses, and Business Intelligence Reports. QuerySurge can connect to any Hadoop or NoSQL store, use HQL to validate Hadoop and SQL to validate JSON documents in NoSQL stores.

QuerySurge will help you:

But don’t believe us (or our clients). Try it for yourself.
Check out our free trials and great tutorial