Jean-Daniel Cryans on Bigtable

​Main: Jean-Daniel Cryans on "Bigtable: A Distributed Storage System for Structured Data"

​Abstract: Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance. These applications place very different demands on Bigtable, both in terms of data size (from URLs to web pages to satellite imagery) and latency requirements (from backend bulk processing to real-time data serving). Despite these varied demands, Bigtable has successfully provided a flexible, high-performance solution for all of these Google products. In this paper we describe the simple data model provided by Bigtable, which gives clients dynamic control over data layout and format, and we describe the design and implementation of Bigtable.

​Bio: Jean-Daniel "J-D" Cryans is a Senior Engineering Manager at Cloudflare, where he leads the R2 team. He previously managed the database team at Fauna and worked on several distributed storage products at Cloudera. J-D started his career in 2008 as one of the first committers for Apache HBase, an open source database modeled after Bigtable.

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