[DBTA] Roundtable Webinar: Building Modern Data Apps: Choosing the Right Foundation and Tools 8/22

From in-product dashboards to recommendation engines, data apps play an increasingly vital role in enabling data-driven decision making at today's organizations. The ability to quickly distill large volumes of data down into key trends, relevant insights, and prescriptive actions that employees, partners, and customers can access on demand is incredibly useful. As such, data apps can be valuable enablers for improving worker productivity, operational efficiency, and innovation at large.
At the same time, building effective data apps can be challenging. Beyond the need to process and analyze data at scale, data apps need to be fast. Many use cases require real or near-real-time data. High concurrency is another issue - the ability to manage a high volume of users and requests. And to ensure that accurate and timely data is delivered to users, integration and governance are other critical areas that need to be covered. Legacy systems, data silos, and poor data quality can pose serious obstacles.
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