Getting Started With Big Data in 3 Steps

Tejas Ghalsasi
Sep 1, 2018 · 2 min read

When I started to understand the mechanism of Hadoop MapReduce , Spark etc. there was a information overflow! There was just so much to read,learn from so many places!

So I went through a couple of articles and papers and finally came up with a guide which would help new learners understand basics of the Big Data Domain.

Here is a 3 step checkpoint based approach that helped me gain a good understanding about Big Data technologies:

STEP 1: Lynn Laggit’s Course on Lynda.com

This is the very first thing I went through and it was very useful. It gave me a brief top level understanding of what I am about to do.

So on Lynda.com you will find the course here:

Credits: Lynda.com

This course will tour you through the core starting with Hadoop MapReduce and then gradually ushering to newer technologies.

STEP 2: Specific Tool Online articles

Mallikarjuna has done a great job at explaining SPARK on his website.

His series further simplifies and demonstrates implementation using projects and examples.

Similarly you can find youtube playlists by Edureka ! and bigdatasimplified.

PySpark Tutorial was extremely useful!

The other playlists too are fairly decent.

Bigdatasimplified:

Step 3: Cognitive Class

So IBM has its own E-learning platform called as Cognitive Class. It has courses and paths which have exercises and useful videos.

After each course there is a Quiz which tests your understanding of the subject.

Create a Free IBM ID and start learning. At the end of each course you get a certificate. At the end of couple of courses you get a badge.

#bigdata #hadoop #spark

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