Inside Apache Druid Storage and Query Engine

Apr 21, 12:00PM PDT(07:00PM GMT).
  • Free 120 Attendees
This event is hosted by SF Big Analytics Group.

Apache Druid is an open-source columnar database known for high performance at scale; its largest deployments comprise thousands of servers. But no matter the scale, high performance starts with good fundamentals. This talk will dive into those fundamentals by exploring the inner workings of a single data server. We’ll cover how Apache Druid stores data, what kinds of compression it uses, how it indexes data, how the storage engine is linked with the query processing engine, and how the system handles resource management and multithreading. Together, all these pieces enable Apache Druid to process billions of records per second on a single data server.

Gian Merlino (Imply)

Gian Merlino is CTO and a co-founder of Imply, a San Francisco based technology company, and the Apache Druid PMC chair. Previously, Gian led the data ingestion team at Metamarkets (now a part of Snapchat) and held senior engineering positions at Yahoo. He holds a BS in Computer Science from Caltech
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