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The Ultimate Hands-On Hadoop – Tame your Big Data! Course For Free

The Ultimate Hands-On Hadoop - Tame your Big Data! Course For Free Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more! Over 25 technologies.

The Ultimate Hands-On Hadoop – Tame your Big Data! Course For Free

Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more! Over 25 technologies.

What you’ll learn

The Ultimate Hands-On Hadoop – Tame your Big Data! Course For Free

  • Design distributed systems that manage “big data” using Hadoop and related technologies.
  • Use HDFS and MapReduce for storing and analyzing data at scale.
  • Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
  • Analyze relational data using Hive and MySQL
  • Analyze non-relational data using HBase, Cassandra, and MongoDB
  • Query data interactively with Drill, Phoenix, and Presto
  • Choose appropriate data storage technology for your application
  • Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
  • Consume streaming data using Spark Streaming, Flink, and Storm

Requirements

  • You will need access to a PC running 64-bit Windows, macOS, or Linux with an Internet connection and at least 8GB of *free* (not total) RAM, if you want to participate in the hands-on activities and exercises. If your PC does not meet these requirements, you can still follow along in the course without doing hands-on activities.
  • Some activities will require some prior programming experience, preferably in Python or Scala.
  • A basic familiarity with the Linux command line will be very helpful.

Description

The world of Hadoop and “Big Data” can be intimidating – hundreds of different technologies with cryptic names form the Hadoop ecosystem.

Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We’ll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.

  • Install and work with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UI
  • Manage big data on a cluster with HDFS and MapReduce
  • Write programs to analyze data on Hadoop with Pig and Spark
  • Store and query your data with SqoopHiveMySQLHBaseCassandraMongoDBDrillPhoenix, and Presto
  • Design real-world systems using the Hadoop ecosystem
  • Handle streaming data in real-time with KafkaFlumeSpark StreamingFlink, and Storm

Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.

Almost every large company you might want to work at uses Hadoop in some way, including Amazon, eBay, Facebook, Google, LinkedIn, IBM,  Spotify, Twitter, and Yahoo! And it’s not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images.

This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It’s filled with hands-on activities and exercises, so you get some real experience in using Hadoop – it’s not just theory.

You’ll find a range of activities in this course for people at every level. If you’re a project manager who just wants to learn the buzzwords, there are web UIs for many of the activities in the course that require no programming knowledge. If you’re comfortable with command lines, we’ll show you how to work with them too. And if you’re a programmer, I’ll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python.

Who this course is for:

  • Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend “big data” at scale.
  • Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop.
  • Data analysts and database administrators who are curious about Hadoop and how it relates to their work.
  • System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.
  • Content From: https://www.udemy.com/course/the-ultimate-hands-on-hadoop-tame-your-big-data/
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  • Last updated 1/2020
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