• Anytime
    Application Deadline
  • 4 days
    Duration
Learn and master the most popular big data technologies in this The Ultimate Hands-On Hadoop - Tame your Big Data Course offered by Udemy, taught by a former engineer and senior manager from Amazon and IMDb.

About

What you'll learn at this The Ultimate Hands-On Hadoop - Tame your Big Data Course offered by Udemy

  • 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 an appropriate data storage technology for your application
  • Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
  • Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
  • Consume streaming data using Spark Streaming, Flink, and Storm

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 4 days
    • Duration description
      14.5 hours on-demand video
  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

Courses include:

  • Using Hadoop's Core: HDFS and MapReduce 
  • Programming Hadoop with Pig 
  • Programming Hadoop with Spark 
  • Using relational data stores with Hadoop 
  • Using non-relational data stores with Hadoop 
  • Querying your Data Interactively 
  • Managing your Cluster 
  • Feeding Data to your Cluster 
  • Analyzing Streams of Data 

Audience

  • 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.

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Academic Requirements

  • You will need access to a PC running 64-bit Windows, MacOS, or Linux with an Internet connection, if you want to participate in the hands-on activities and exercises. You must have at least 8GB of free RAM on your system; 10GB or more is recommended. 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.

Tuition Fee

  • International

    180 EUR/full
    Tuition Fee
    Based on the original amount of 180 EUR for the full programme and a duration of 4 days.
  • EU/EEA

    180 EUR/full
    Tuition Fee
    Based on the original amount of 180 EUR for the full programme and a duration of 4 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
Udemy continuously offers discounts up to 94% off with full lifetime access to the course. Check the discounts available by clicking "Visit Programme Website".

Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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