Bringing scalable real-time analytics to the enterprise

In this episode of the Data Show , I spoke with Dhruba Borthakur (co-founder and CTO) and Shruti Bhat (SVP of Product) of Rockset , a startup focused on building solutions for interactive data science and live applications. Borthakur was the founding engineer of HDFS and creator of RocksDB , while Bhat is an experienced product and marketing executive focused on enterprise software and data products. Their new startup is focused on a few trends I’ve recently been thinking about, including the re-emergence of real-time analytics, and the hunger for simpler data architectures and tools. Borthakur exemplifies the need for companies to continually evaluate new technologies: while he was the founding engineer for HDFS, these days he mostly works with object stores like S3. We had a great conversation spanning many topics, including: RocksDB , an open source, embeddable key-value store originated by Facebook, and which is used in several other open source projects . Time-series databases. The importance of having solutions for real-time analytics, particularly now with the renewed interest in IoT applications and rollout of 5G technologies. Use cases for Rockset’s technologies—and more generally, applications of real-time analytics. The Aggregator Leaf Tailer architecture as an alternative to the Lambda architecture. Building data infrastructure in the cloud. The Aggregator Leaf Tailer ( “CQRS for the data world”) : A data architecture favored by web-scale companies. Source: Dhruba Borthakur, used with permission. Related resources: Serverless Streaming Architectures & Algorithms for the Enterprise – a new tutorial on September 24th at Strata Data NYC. “Becoming a machine learning company means investing in foundational technologies” Haoyuan Li: “In the age of AI, fundamental value resides in data” Harish Doddi: “Simplifying machine learning lifecycle management” Eric Jonas: “A Berkeley view on serverless computing” “Specialized tools for machine learning development and model governance are becoming essential” Avner Braaverman: “What data scientists and data engineers can do with current generation serverless technologies”

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Bringing scalable real-time analytics to the enterprise is an episode from O'Reilly Data Show Podcast by O'Reilly Media.

This episode is 00:37:12 long.

This episode was published on Jun 9, 2019.

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