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Data silos, limited scalability and performance bottlenecks, poor data quality and governance, cost inefficiencies, and an inability to support AI workloads – these are just some of the challenges that organizations reliant on legacy data platforms experience on a regular basis. Of course, change is hard and there can be risks with any modernization effort. Many organizations have invested heavily in existing infrastructure and those legacy systems are deeply integrated into daily operations. Technical debt, fears of disruption, data loss and compatibility issues, and lack of a clear strategy can all create hesitation. At the same time, the longer a company operates without modernizing, the harder it becomes to compete in our data-driven economy.
Building a modern data platform requires a number of decisions – from purpose and scope to data architecture types, deployment models, tools ecosystems and skills. Are you focused on unifying data management and analytics, massive scale, speed and agility, AI workloads, or all of the above? Cloud-first or hybrid? How will data be stored and organized, ingested and integrated, processed and transformed, and governed and secured? Moreover, how do you make sure that your data creates business value through analytics and AI? To dive into the top trends and best practices for building a modern data platform, DBTA is hosting a special roundtable webinar on May 6th.
Reserve your seat today!
Register Now to attend the webinar Building a Modern Data Platform: Trends and Best Practices.
Don't miss this live event on Tuesday, May 6th, 11 AM PT / 2 PM ET.
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