I agree with suggestion to start with "Learning Spark" to further forge your knowledge of Spark fundamentals.
"Advanced Analytics with Spark" has good practical reinforcement of what you learn from the previous book. Though it is a bit advanced, in my opinion some practical/real applications are better covered in this book. For DataFrame and other online Apache Spark documentation is still the best source. Keep in mind Spark and its different subsystems are constantly evolving. Publications will be always somewhat outdated but not the key fundamental concepts. Cheers, - Nicos +++ > On Feb 28, 2016, at 1:53 PM, Michał Zieliński <zielinski.mich...@gmail.com> > wrote: > > Most of the books are outdated (don't include DataFrames or Spark ML and > focus on RDDs and MLlib). The one I particularly liked is "Learning Spark". > It starts from the basics, but has lots of useful tips on caching, > serialization etc. > > The online docs are also of great quality. > >> On 28 February 2016 at 21:48, Ashok Kumar <ashok34...@yahoo.com.invalid> >> wrote: >> Hi Gurus, >> >> Appreciate if you recommend me a good book on Spark or documentation for >> beginner to moderate knowledge >> >> I very much like to skill myself on transformation and action methods. >> >> FYI, I have already looked at examples on net. However, some of them not >> clear at least to me. >> >> Warmest regards >
