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To improve operational efficiency and business decision making, enterprises need to be able to effectively leverage analytics and AI. To succeed with analytics and AI, you need to make sure that actionable, meaningful data is available to data scientists, analysts, developers, and other stakeholders at scale. Hence, the increasing importance of data engineers as the builders and keepers of the data systems and pipelines that fuel insights.
At the same time, the volume, variety, and velocity of data continues to grow right alongside new user requirements and workloads – and so do the challenges for data engineers. From data infrastructure complexity and data silos to data governance and security, new technologies and strategies are critical to making the data-driven aspirations of today's enterprises a reality. This is the crossroads where success with Customer 360, self- service analytics, generative AI and LLMs, real-time intelligence, and data products all meet. To dive into the top trends and emerging best practices, DBTA is hosting a special roundtable webinar on September 19th. Reserve your seat today!
Register Now to attend the webinar What's Ahead in Data Engineering: Top Trends and Emerging Best Practices. Don't miss this live event on Thursday, September 19th, 11:00 AM PT / 2:00 PM ET.
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