Name: June Tech Talk: PySpark
Start: 2016-06-20T19:00:00-05:00
End: 2016-06-20T22:00:00-05:00
Location: Atlassian

Description:

Apache Spark is a general framework for large-scale data processing on a cluster. If you need to analyze a data set larger than the memory of a single machine and need to parallelize your calculations to run them on a cluster and need less I/O overhead than Hadoop requires, Spark may be your solution. PySpark enables Spark users to write their code in Python and make use of its libraries. This class will be a hands-on introduction to Spark and PySpark where we explain the basic concepts necessary to get started using it through examples and exercises.

Audience:

For beginners to Spark and its APIs. A programming background and some experience with Python is assumed.

Speaker:

Meghann Agarwal

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Additional Info:

TBA

Kate MacInnis

Mazhalai (Maddy)

Meghann

Irma Kramer

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