From cloud data warehouses and data lakehouses to unified real-time platforms, data fabric and data mesh, the data architecture landscape continues to evolve. To meet the ever-growing demand for greater scalability and agility, new approaches to designing, implementing, integrating and managing the systems that collect, store, process and analyze data are necessary. And, right now, most DBTA subscribers have budgets for new technologies, tools, and strategies to continue their modernization initiatives. There are also plenty of challenges – legacy systems, tech debt, data silos, governance, security, and cost management are all pressing issues. Likewise, as AI adoption continues to accelerate, many organizations now find themselves facing the challenge of extending their existing data infrastructure to support the unique demands of AI applications.
Join us for a special roundtable webinar on February 6th to dive into the top trends in modern data architecture for 2024.
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