Apache Spark Training Course

Course Code

68780

Duration

14 hours (usually 2 days including breaks)

Course Outline

Why Spark?

  • Problems with Traditional Large-Scale Systems
  • Introducing Spark

Spark Basics

  • What is Apache Spark?
  • Using the Spark Shell
  • Resilient Distributed Datasets (RDDs)
  • Functional Programming with Spark

Working with RDDs

  • RDD Operations
  • Key-Value Pair RDDs
  • MapReduce and Pair RDD Operations

The Hadoop Distributed File System

  • Why HDFS?
  • HDFS Architecture
  • Using HDFS

Running Spark on a Cluster

  • Overview
  • A Spark Standalone Cluster
  • The Spark Standalone Web UI

Parallel Programming with Spark

  • RDD Partitions and HDFS Data Locality
  • Working With Partitions
  • Executing Parallel Operations

Caching and Persistence

  • RDD Lineage
  • Caching Overview
  • Distributed Persistence

Writing Spark Applications

  • Spark Applications vs. Spark Shell
  • Creating the SparkContext
  • Configuring Spark Properties
  • Building and Running a Spark Application
  • Logging

Spark, Hadoop, and the Enterprise Data Center

  • Overview
  • Spark and the Hadoop Ecosystem
  • Spark and MapReduce

Spark Streaming

  • Spark Streaming Overview
  • Example: Streaming Word Count
  • Other Streaming Operations
  • Sliding Window Operations
  • Developing Spark Streaming Applications

Common Spark Algorithms

  • Iterative Algorithms
  • Graph Analysis
  • Machine Learning

Improving Spark Performance

  • Shared Variables: Broadcast Variables
  • Shared Variables: Accumulators
  • Common Performance Issues

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £2500

Private Remote

From £2200 (104)

Public Classroom

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