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The future of analytics is evolving rapidly as organizations work towards building more integrated, scalable, and real-time data ecosystems that support improvements in operational efficiency and business decision-making, as well as the development of AI capabilities. In a brand-new study fielded amongst DBTA subscribers, these were the top business priorities for improving how data is managed – and all of these goals require better, faster insights.
This is why we're seeing a continued increase in the adoption of modern data architecture patterns such as cloud data warehouses, data lakehouses, and real-time unified platforms. What these approaches all share in common is an attempt to solve the limitations of traditional data architecture by offering users greater flexibility, scalability, and agility. To succeed both now, and in the future, requires addressing a number of critical needs, including:
- Integrating data from multiple, diverse sources and avoiding data silos
- Supporting different workloads – batch, streaming, real-time, AI/ML – performantly and cost-effectively
- Ensuring high-quality data across multiple systems, especially as data pipelines grow in complexity
- Establishing frameworks and automation for consistent governance across complex data environments
To dive into the latest trends, best practices, and technology advancements, DBTA is hosting a special roundtable webinar on December 10th.
Reserve your seat today!
Register Now to attend the webinar The Future of Analytics: Cloud Data Warehouses, Data Lakehouses, and More. Don't miss this live event on Tuesday, December 10th, 11 AM PT / 2 PM ET.
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