Companies use their data to accelerate business growth and overtake their competitors. To achieve this, they invest a lot in their ETL (extract-transform-load) operations, which take raw data and transform it into actionable information. It’s no wonder, then, that ETL testing is a crucial part of a well-functioning ETL process, since the ETL process generates mission-critical data.

Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse, is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data. Both are 100% Open source, so you can avoid vendor lock-in while you use your favorite BI tools, and benefit from community-driven innovation.

Scribe Media and Grocery TV share how they join data to determine job costing, cash forecasting, executive reporting, revenue sharing and more.