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The world of data engineering is evolving fast with new technologies reshaping how organizations are fulfilling the need for secure, trusted, easily-accessible data. The adoption of cloud data platforms and tools for ingesting, processing, integrating, and analyzing data continues to grow. Likewise, given the importance of data governance and data quality to the success of analytics and AI initiatives, more organizations are embracing modern data catalogs, active metadata practices, and data observability as well. Finally, the impact of Generative AI and LLMs will continue to transform data engineering while also relying on the data foundation it enables.
To help data leaders and data teams alike navigate the key technologies and best practices shaping the future of data engineering, DBTA is hosting a special roundtable webinar on June 27th. Sign up today to watch our expert panel dive into the most pressing challenges and opportunities.
Register Now to attend the webinar The Future of Data Engineering: AI, Automation, and the Cloud. Don't miss this live event on Thursday, June 27th, 11:00 AM PT / 2:00 PM ET.
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MODERATOR |
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David Jayatillake
VP of AI
Cube |
Mei Long
Founding Member, Product
Prophecy |
Seth Weisman
Director of Field Engineering
Materialize |
Matthew Groves
DevRel Engineer
Couchbase |
Stephen Faig
Research Director
Unisphere Research and DBTA |
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