SQL-on-Anything with Presto, and Low Latency SQL with Druid

We're happy to announce the next Hadoop/Spark meetup. Wojciech and Karol from Starburst are going to introduce us to Presto an open source distributed SQL query engine. And our second speaker Fokko will give us an introduction to Druid.

GoDataDriven is our sponsor for this event, and is sponsoring the food and location.

Agenda:

18:00: Arrive, mingle, food (pizza), drinks etc.

18:45: Presto: SQL-on-Anything, by Wojciech Biela and Karol Sobczak

Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto was designed and written from the ground up for interactive analytics and approaches the speed of commercial data warehouses while scaling to the size of organizations like Facebook. One key feature in Presto is the ability to query data where it lives via an uniform ANSI SQL interface. Presto’s connector architecture creates an abstraction layer for anything that can be represented in a columnar or row-like format, such as HDFS, Amazon S3, Azure Storage, NoSQL stores, relational databases, Kafka streams and even proprietary data stores. Furthermore, a single Presto query can combine data from multiple sources, allowing for analytics across an entire organization.

19:45: Druid an open-source analytics columnar store by Fokko Driesprong.

Druid is an open-source analytics columnar store, designed for business intelligence (OLAP) queries on event data. Druid provides low latency (real-time) data ingestion or efficient batch data ingestion, flexible data exploration, and fast aggregations. Existing Druid deployments have scaled to trillions of events and petabytes of data. Druid is best used to power analytic dashboards and drive business intelligence applications. In this talk I will explain Druid from a technical perspective and discuss production use cases.

21:30: Everybody out

I hope to see you there,
Niels