https://speakerdeck.com/mikemclaughlin 2019-11-19 11:40:25 -0500 High Level Outline Apache Druid Overview Architecture and Real World Use Cases Discussion Abstract Providing users with self-service analytics on real-time data in large, multi-petabyte datasets is difficult. In an ideal world, you would give users access to the entire database with every dimension at their fingertips. However, this is often not technically feasible or leads to performance that is far too slow to be useful. Enter Apache Druid. Druid is an open source analytics database powering real-time, ad hoc analytics. It is used for clickstream analytics, network telemetry, fraud detection, application monitoring and more by companies like Apple, Netflix, Twitter, and AirBnb. It can ingest millions of records per second and deliver sub-second response times to OLAP-style slice and dice queries performed on extremely large datasets. In this presentation, we will start with the fundamentals of Druid before taking a deep dive into its inner workings while discussing several real world company use cases. High Level Outline Apache Druid Overview Architecture and Real World Use Cases Discussion Abstract Providing users with self-service analytics on real-time data in large, multi-petabyte datasets is difficult. In an ideal world, you would give users access to the entire database with every dimension at their fingertips. However, this is often not technically feasible or leads to performance that is far too slow to be useful. Enter Apache Druid. Druid is an open source analytics database powering real-time, ad hoc analytics. It is used for clickstream analytics, network telemetry, fraud detection, application monitoring and more by companies like Apple, Netflix, Twitter, and AirBnb. It can ingest millions of records per second and deliver sub-second response times to OLAP-style slice and dice queries performed on extremely large datasets. In this presentation, we will start with the fundamentals of Druid before taking a deep dive into its inner workings while discussing several real world company use cases. Mon, 18 Nov 2019 00:00:00 -0500 https://speakerdeck.com/mikemclaughlin/powerful-ad-hoc-real-time-analytics-on-large-datasets-using-apache-druida https://speakerdeck.com/mikemclaughlin/powerful-ad-hoc-real-time-analytics-on-large-datasets-using-apache-druida