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Apache Spark Fundamentals

We’ll look at the RDD-based framework for automated distributed code execution, and companion projects in different paradigms: Spark SQL, Spark Streaming, MLLib, Spark ML, GraphX.
Description
Code: EAS-017
Duration: 24 hours

Description

This training focuses on the key concepts and methods for data processing applications development using Apache Spark. We’ll look at the RDD-based framework for automated distributed code execution, and companion projects in different paradigms: Spark SQL, Spark Streaming, MLLib, Spark ML, GraphX.

Roadmap

  • Spark concepts and architecture
  • Programming with RDDs: transformations and actions
  • Using key/value pairs
  • Loading and storing data
  • Accumulators and broadcast variables
  • Spark SQL, DataFrames, Datasets
  • Spark Streaming
  • Machine Learning using MLLib and Spark ML
  • Graph analysis using GraphX

Objectives

  • Understand core Spark concepts and architecture
  • Write data processing pipelines queries using simple and pair RDDs
  • Write data processing programs using DataFrames
  • Write stream processing programs using DStreams
  • Utilize pre-packaged machine learning and graph analysis algorithms
  • Move data between Spark and external systems (Kafka, Cassandra)

Target Audience

  • Software developers
  • Software architects


Schedule in Online Prices
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Online €415
Bucharest €415
Krakow €415
Wroclaw €415

Invoices for the course will be issued in local currency. All fees above can change according to training location and delivery mode and are subject to change while scheduling. Price does not include VAT.

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Recommended Reading:

  • Basic Java programming skills. Unix/Linux shell familiarity. Experience with databases is optional.

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