Virtual Data with Sunil Kamath

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Relational data systems have evolved from single node instances to complex distributed systems.

Almost any database can be accessed through a SQL statement, but the guarantees of these databases can vary in terms of consistency, availability, latency, durability, and financial cost. Relational database systems that explore these different sets of tradeoffs are sometimes categorized as “NewSQL”.

There are also a wide variety of data systems that are not categorized as databases. Kafka is a distributed queue. HDFS is a distributed file system. Spark provides a distributed in-memory working set to process data. Cloud providers offer hosted bucket storage for your data lake and fast processing in the form of a data warehouse.

Sunil Kamath is a principal PM with Microsoft. Sunil has worked on database systems for two decades, and he joins the show to give his perspective on the current data world and his predictions for how data platforms will become easier to use. Sunil is optimistic about the use of virtual data for unifying the access of data for a variety of operational use cases.

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