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Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. In 2019, as in 2018, Python was the most popular language on O’Reilly online learning. Security is surging.
There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole. A solution like Delta makes ETL unnecessary for the data warehousing. Common in-memory data interfaces.
Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.
We’ll get to all of those later on, but first I’m going to start the news this time with a roundup of an interesting day last week… News from the Serverless World Keynote Stage at Velocity 2018 Last week I was at O’Reilly’s Velocity conference in San Jose. Next up Lynn Langit gave a talk on Serverless SQL , updated for 2018.
Kubernetes has emerged as go to container orchestration platform for dataengineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next.
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