This is a double header tech talk event.
1) Tech talk #1:
TITLE: "Rethinking Druid's user experience"
SPEAKER: Vadim Ogievetsky, Co-Founder and CPO of Imply
Apache Druid has always been a fast, powerful, and scalable, but it has never been "user friendly" from a UX perspective. This talk will examine how the Druid UX is being redesigned from the ground up. This will make Druid straightforward to get started with, load data into, and manage at scale.
Vadim Ogievetsky, cares about two things: making huge datasets accessible to everyone, and highly complex distributed systems easier to manage. Previously Vadim led the Application team at Metamarkets (acquired by Snap). He holds an MS in Computer Science from Stanford and a BA in Mathematics and Computer Science from Oxford.
2) Tech talk #2:
TITLE: "Combining Large Scale Data Processing and Low Latency on the Cloud with Spark + Druid"
SPEAKER: Minesh Patel, Head of Solutions Architecture, North America, Qubole
Apache Spark is one of the most widely used cluster computing frameworks. Spark is used to process tons of data for different workloads. These workloads include batch/streaming ingestion and ETL, ad hoc analytics, and data science. Apache Druid focuses on enabling low latency queries for OLAP workloads. Combining these technologies on a cloud substrate allows for massive scalability with managed cost and faster time to delivery.
Minesh is a seasoned enterprise software professional with years of customer facing experience. He excels at establishing solid relationships with customers and partners across a variety of business verticals. Minesh has architected and been hands on with some of the largest big data implementations in the cloud.