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Announcing Apache Spark Essentials for the Public Sector workshop

by Pat McDonough

Archived. This article has not been updated since the publish date above. The dynamic nature of information means that previously accurate content can become outdated or even obsolete over time. Readers are advised to exercise due diligence and cross-check any information found in this blog post before making decisions or adopting any practices based on said information.

We are proud to announce Apache Spark Essentials - the first in a series of free technical workshops tailored for the public sector.  Data scientists, engineers, and analysts who attend Session 1: Spark Essentials, will be introduced to the Spark platform and ecosystem. It provides a hands-on introduction of how to effectively use Spark’s various processing engines and higher-level libraries to tackle a unified use case.

Sign up today at Apache Spark for Public Sector workshop as space is limited:

  • Date: Friday, January 29th
  • Time: 9:00 a.m. to 4:00 p.m.
  • Location: CACI Inc, 14360 Newbrook Dr, Chantilly, VA

Spark-Essentials-public-sector

Subsequent sessions will follow, covering in-depth exercises on machine learning, real-time stream analysis, and graph processing.

Agenda

  • Learn how to mix usage of different Spark engines for sophisticated analysis:
    • DataFrames + Spark SQL
    • RDDs
    • Spark Streaming
    • MLlib (Machine Learning)
    • GraphX
  • ETL to/from various data sources: S3, HDFS, Parquet, Hive, Cassandra, MySQL, MongoDB, neo4j, etc.
  • Launch and monitor Spark clusters in the Amazon Cloud
  • Understand Spark Architecture fundamentals
  • Use the Spark UI to analyze the performance of a job
  • Use various visualization tools (Databricks native, matplotlib, Google Charts, D3.js, etc) to surface insights

For more information, check out Spark for the Public Sector: A Workshop Series from Databricks.

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