Get Smarter About Apache Spark by Luis Arellano.
From the post:
We often forget how new Spark is. While it was invented much earlier, Apache Spark only became a top-level Apache project in February 2014 (generally indicating it’s ready for anyone to use), which is just 18 months ago. I might have a toothbrush that is older than Apache Spark!
Since then, Spark has generated tremendous interest because the new data processing platforms scales so well, is high performance (up to 100 times faster than alternatives), and is more flexible than other alternatives, both open source and commercial. (If you’re interested, see the trends on both Google searches and Indeed job postings.)
Spark gives the Data Scientist, Business Analyst, and Developer a new platform to manage data and build services as it provides the ability to compute in real-time via in-memory processing. The project is extremely active with ongoing development, and has serious investment from IBM and key players in Silicon Valley.
Luis has collected up links for absolute beginners, understanding the basics, intermediate learning and finally reaching the expert level.
None of the lists are overwhelming so give them a try.