2 months
Duration
Free
Free
Unknown
Tuition fee
Unknown
Unknown
Apply date
Unknown
Unknown
Start date

About

Have you ever heard about such technologies as HDFS, MapReduce, Spark? Always wanted to learn these new tools but missed concise starting material? Don’t miss this Big Data Essentials - HDFS, MapReduce and Spark RDD course offered by Coursera in partnership with Yandex either!

Visit the official programme website for more information

Overview

In this 6-week Big Data Essentials - HDFS, MapReduce and Spark RDD course offered by Coursera in partnership with Yandex you will:

  • learn some basic technologies of the modern Big Data landscape, namely: HDFS, MapReduce and Spark;
  • be guided both through systems internals and their applications;
  • learn about distributed file systems, why they exist and what function they serve;
  • grasp the MapReduce framework, a workhorse for many modern Big Data applications;
  • apply the framework to process texts and solve sample business cases;
  • learn about Spark, the next-generation computational framework;
  •  build a strong understanding of Spark basic concepts;
  • develop skills to apply these tools to creating solutions in finance, social networks, telecommunications and many other fields.

Your learning experience will be as close to real life as possible with the chance to evaluate your practical assignments on a real cluster. No mocking, a friendly considerate atmosphere to make the process of your learning smooth and enjoyable.

Get ready to work with real datasets alongside with real masters!

Programme Structure

Courses include:

  • What are BigData and distributed file systems (e.g. HDFS)?
  • Solving Problems with MapReduce
  • Solving Problems with MapReduce (practice week)
  • Introduction to Apache Spark
  • Introduction to Apache Spark (practice week)
  • Real-World Applications

Details on Coursera Plus:

  • Learn Anything: Explore any interest or trending topic, take prerequisites, and advance your skills
  • Save money: Spend less money on your learning if you plan to take multiple courses this year
  • Flexible Learning: Learn at your own pace, move between multiple courses, or switch to a different course
  • Unlimited Certificates: Earn a certificate for every learning program that you complete at no additional cost

Key information

Duration

  • Part-time
    • 2 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.

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.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Our partners

Big Data Essentials - HDFS, MapReduce and Spark RDD
-
Coursera

Wishlist

Go to your profile page to get personalised recommendations!