Break out your laptops for this hands-on tutorial is geared around understanding the basics of how Apache Cassandra stores and access time series data. We’ll start with an overview of how Cassandra works and how that can be a perfect fit for time series. Then we will add in Apache Spark as a perfect analytics companion. There will be coding as a part of the hands on tutorial. The goal will be to take a example application and code through the different aspects of working with this unique data pattern. The final section will cover the building of an end-to-end data pipeline to ingest, process and store high speed, time series data.
Hour 1: Core Concepts
Hour 2: Key Foundational Skills
Hour 3: Integrating An End-To-End Data Pipeline
Patrick McFadin is regarded as a foremost expert for Apache Cassandra and data modeling. As Chief Evangelist for Apache Cassandra and consultant working for DataStax, he has been involved in some of the biggest deployments in the world.
Committer to several open source projects including the Spark Cassandra Connector, Cassandra Kafka Connector, a previous contributor to Akka (2 new features in Akka Cluster), Spring Integration and several others. She is also a speaker at international Big Data and Scala conferences: Kafka Summit, Spark Summit (EU and NYC), Strata (NYC and San Jose), Reactive Summit, QCon SF, Scala Days (EU and US), Scala World and Philly Emerging Technology. Currently a Senior Software Engineer in Distributed Systems at Apple.
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