The Ultimate Hands-On Hadoop

Understanding Hadoop is a highly valuable skill for anyone working at companies that work with large amounts of data. Companies such as Amazon, eBay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo, use Hadoop in some way to process huge chunks of data. This video course will make you familiar with Hadoop's ecosystem and help you to understand how to apply Hadoop skills in the real world.

The course starts by taking you through the installation process of Hadoop on your desktop. Next, you will manage big data on a cluster with Hadoop Distributed File System (HDFS) and MapReduce, and use Pig and Spark to analyze data on Hadoop. Moving along, you will learn how to store and query your data using applications, such as Sqoop, Hive, MySQL, Phoenix, and MongoDB. Next, you will design real-world systems using the Hadoop ecosystem and learn how to manage clusters with Yet Another Resource Negotiator (YARN), Mesos, Zookeeper, Oozie, Zeppelin, and Hue. Towards the end, you will uncover the techniques to handle and stream data in real-time using Kafka, Flume, Spark Streaming, Flink, and Storm.

By the end of this course, you will become well-versed with the Hadoop ecosystem and will develop the skills required to store, analyze, and scale big data using Hadoop.

Type
video
Category
Data
publication date
2017-06-16
what you will learn

Become familiar with Hortonworks and the Ambari User Interface (UI)
Use Pig and Spark to create scripts to process data on a Hadoop cluster
Analyze non-relational data using HBase, Cassandra, and MongoDB
Query data interactively with Drill, Phoenix, and Presto
Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
Consume streaming data using Spark Streaming, Flink, and Storm

duration
879
key features
Get to grips with the high-level architecture of Hadoop * Understand the components available in the Hadoop ecosystem, and how they fit together * Get ready to manage big data using Hadoop and related technologies
approach
With the help of a real-world movie dataset, hands-on activities, and interesting exercises, this video course will help you to learn Hadoop and its associated distributed systems. You will find out how easy it is to analyze, store, and scale big data using Hadoop technology.
audience
This video course is designed for people at every level; whether you are a software engineer or a programmer who wants to understand the Hadoop ecosystem, or a project manager who wants to become familiar with the Hadoop's lingo, or a system architect who wants to understand the components available in the Hadoop system. To get started with this course, a basic understanding of Python or Scala and ground-level knowledge of the Linux command line are recommended.
meta description
Discover how to use Hadoop and 25+ related technologies to process big data with this practical course
short description
This course will show you why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.
subtitle
Grasp the skills needed to design distributed systems to manage big data
keywords
Hadoop, MapReduce, Hadoop Distributed File System (HDFS), Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka, Big Data
Product ISBN
9781788478489