At the beginning of the year, we set out 10 big data trends to watch in 2019. We correctly called some of what unfolded, including a renewed focus on data management and continued rise of Kubernetes (that wasn’t hard to see). But a lot of stuff transpired in our little neck of the big data woods that was completely unpredictable. As they say in football, that’s why we play the game.
Here are some of the most important stories we’ve covered in Datanami for the year, in reverse chronological order. 2019 started out promising enough for Cloudera, which completed its $5.2-billion acquisition of rival Hortonworks on January 3. While details in creating a combined Hadoop distribution were to be worked out, the new Cloudera was keen to position itself for emerging “Edge to AI” workloads. But storm clouds around Hadoop were building, as we would see later in the year.
Author: Alex Woodie
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