Spark Camp, organized by the creators of the Apache Spark project at Databricks, will be a day-long, hands-on introduction to the Spark platform including Spark Core, the Spark Shell, Spark Streaming, Spark SQL, MLlib, and more. We will start with an overview of use cases and demonstrate writing simple Spark applications. We will cover each of the main components of the Spark stack via a series of technical talks targeted at developers who are new to Spark. Intermixed with the talks will be periods of hands-on lab work. Attendees will download and use Spark on their own laptops, and learn how to deploy Spark apps in distributed big data environments including common Hadoop distributions and Mesos.
O’Reilly author (Just Enough Math and Enterprise Data Workflows with Cascading) and a “player/coach” who’s led innovative data teams building large-scale apps. Director of community evangelism for Apache Spark with Databricks, advisor to Amplify Partners. Expert in machine learning, cluster computing, and enterprise use cases for big data.
Alex Sicoe is a software engineer at Big Data Partnership working with clients on projects involving scalable storage and compute systems like Apache Spark, Apache Cassandra, Apache Storm, and Apache Hadoop. He has extensive experience building data pipelines involving such systems as well as giving training courses on them. Alex is the first ever certified Databricks trainer. Previously he worked at CERN on building a large scale monitoring system for the ATLAS experiment on top of Apache Cassandra.
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