The main characteristic of DataOps is to strongly advocate automation and monitoring at all steps of data pipeline construction, from data integration, testing, releasing to deployment and infrastructure ...

More people are questioning the future of Hadoop. Here’s just a sample of what’s being said: “We are more consistently hearing that core Hadoop software modules are dated/commoditized.” StreetInsider; ...

It seems like these days, everybody wants to be a data scientist.  Harvard declared it to be one of the hottest jobs of the decade back in 2012.

On Tuesday April 3, 2018 Cloudera had its quarterly earnings call after which the stock has since slipped from $22.24/share to $12.95/share... a drop of a whopping 42%.  Is this the beginning of the end ...

Ad hoc data wrangling and production data engineering and data integration are very different beasts. While you might be tempted to compare products from one universe to another, you do so at your own ...

We walk through what you can do to use big data automation to overcome the top 5 technical challenges that block organizations from fully taking advantage of big data.

Gartner and Strata had their big smack down with competing trade shows during the same week, and based on our attendance at both events, you could not have had two more different perspectives on the industry.

According to Gartner, “Only 15 percent of businesses reported deploying their big data project to production.”  What are the top technical reasons for this?