Hadoop Developer Foundations

New - Learn about the Hadoop ecosystem and how to process large data streams.

Apache Hadoop is a framework for processing Big Data, and Spark is a new in-memory processing engine. This course will introduce you to the Hadoop ecosystem and Spark.

This course explores processing large data streams in the Hadoop ecosystem. Working in a hands-on learning environment, you’ll learn techniques and tools for ingesting, transforming, and exporting data to and from the Hadoop ecosystem for processing. You’ll also process data using Map/Reduce and other critical tools, including Hive and Pig. Towards the end of the course, we’ll review other useful tools such as Oozie and discuss security in the ecosystem.

GK# 100682 Vendor# TTDS6509

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Group Training

Group Training

Live expert-led training for your team or entire organization that can be customized to fit your exact needs.

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Who Should Attend?

Experienced Developers and Architects seeking to be proficient in Hadoop, Hive, and Spark within an enterprise data environment.

What You'll Learn

Join an engaging hands-on learning environment, where you’ll explore:

Introduction to Hadoop
HDFS
YARN
Data Ingestion
HBase
Oozie
Working with Hive
Hive advanced
Hive in Cloudera/Hortonworks Distribution (or tools of choice)
Working with Spark
Spark Basics
Spark Shell
RDDs
Spark Dataframes and Datasets
Spark SQL
Spark API programming
Spark and Hadoop
Machine Learning (ML/MLlib)
GraphX
Spark Streaming

This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.

Prerequisites

Before attending this course, you should be:

Familiar with a programming language
Comfortable in Linux environment (be able to navigate Linux command line, edit files using vi or nano)

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