In this article, we’ll take a deep dive into the customer churn/retention use case. This should contain everything needed to get started on the use case, and enterprising readers can also try this out for themselves in a free trial of Continual, following the customer churn example in the linked github repository.

Cloudera has been recognized as a Visionary in 2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems (DBMS) and for the first time, evaluated CDP Operational Database (COD) against the 12 critical capabilities for Operational Databases.

2021 demonstrated the precariousness of our global supply chains and the potential cost to business. The Suez Canal blockage held up around $9.6bn of trade each day, while the true impact of the pandemic won’t be known for years. Many of us have also felt it during our weekly shopping and the disappointment when one of our favorite items is replaced by cardboard cutouts instead of the foodstuff themselves.

Having a firm understanding of Google BigQuery Data types is necessary if you are to take full advantage of the warehousing tool’s on-demand offerings and capabilities. We at Hevo Data (Hevo is a unified data integration platform that helps customers bring data from 100s of sources to Google BigQuery in real-time without writing any code) often come across customers who are in the process of setting up their BigQuery Warehouse for analytics.

Here’s a scenario that might feel painfully familiar. Your marketing department captures customer leads, and passes them to the sales department. Marketing’s success is measured in part on the number and size of deals that result. But a squabble breaks out over how the sales department handles, nurtures, and attributes those conversions. Result: Neither department really wants to share their data.