all AI news
How Clearcover Increased Quality Coverage for ELT by 70 Percent
Jan. 12, 2022, 6:02 a.m. | Barr Moses
Towards Data Science - Medium towardsdatascience.com
Here’s how data observability helped the data engineering team at a leading auto-insurance provider deliver more reliable data, faster
Image courtesy of Chris Liverani on Unsplash.As organizations continue to ingest more data from more sources, maintaining high-quality, reliable data assets becomes a crucial challenge. That’s why Clearcover implemented end-to-end data observability across ELT and beyond. Here’s how.
The team at Chicago-based Clearcover, a leading tech-driven insurance provider, pride themselves on providing fast, transparent rates on car insurance …
data data engineering data-observability data quality elt etl
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Data Scientist (m/f/x/d)
@ Symanto Research GmbH & Co. KG | Spain, Germany
Enterprise Data Quality, Senior Analyst
@ Toyota North America | Plano
Data Analyst & Audit Management Software (AMS) Coordinator
@ World Vision | Philippines - Home Working
Product Manager Power BI Platform Tech I&E Operational Insights
@ ING | HBP (Amsterdam - Haarlerbergpark)
Sr. Director, Software Engineering, Clinical Data Strategy
@ Moderna | USA-Washington-Seattle-1099 Stewart Street
Data Engineer (Data as a Service)
@ Xplor | Atlanta, GA, United States