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As AI adoption continues to accelerate and the data demands of businesses grow ever larger and more complex, building a strong data foundation that can power all of the use cases on the minds of technology and business leaders has become a big focus for companies this year. This leads to many important questions.
How can we store, process, and analyze more data with greater flexibility and cost efficiency? How can we ensure high quality, reliable, secure data to feed AI and analytics apps? How can we better integrate new technologies with existing investments and eliminate data silos?
These are questions that underpin the data architecture decisions of many organizations as they evaluate new platforms, tools, and strategies. There is no one-size-fits-all solution. What's needed is more openness and interoperability. Open lakehouse architecture continues to gain traction as a modernization pathway uniting the strengths of data warehouses and data lakes. The technology landscape has continued to evolve to address the challenges and tradeoffs of the lakehouse paradigm.
To dive into the latest trends in open lakehouse architecture, including key tools and emerging best practices, DBTA is hosting a special roundtable webinar on October 29th. Reserve your seat today!
Register Now to attend the webinar The Future of Open: What's Next in Lakehouse Architecture. Don't miss this live event on Tuesday, October 29th, 11:00 AM PT / 2:00 PM ET.
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