Top Trends in Data Engineering


The world of data and analytics continues to evolve and, as a result, how enterprises are designing, implementing, and managing data science platforms and infrastructure is changing alongside the availability of new tools and enabling technologies. Next-generation data solution concepts, such as the data lakehouse and data fabric, are gaining a larger foothold at organizations. The adoption of machine learning and complementary technologies, such as knowledge graphs, is on the rise. There is an increasing emphasis on real-time and edge data in concert with IoT initiatives. All the while, cloud adoption continues to grow – from hybrid to multi-cloud and serverless solutions.

As we look towards 2023, DBTA is gathering the leading experts for a special roundtable webinar on November 3rd to dive into the top trends in data science and engineering you need to keep on your radar for next year.

Reserve your seat today!

Don't miss this live event on Thursday, November 3rd, 11:00 AM PT / 2:00 PM ET.

Register Now to attend the webinar Top Trends in Data Engineering.

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Cameron O'Rourke
Sr. Director, Product Strategy
Eldad Chai
Stephen Faig
Research Director
Unisphere Research and DBTA