Re: Spark books
Thanks Stephen! I appreciate it very much. And yeah...Stephen is right on this. Go and read the notes and let me know where you're missing things :-) p.s. Holden has just announced that her book is complete and think Matei is also quite far with his writing. Jacek On 4 May 2017 2:52 a.m., "Stephen Fletcher" wrote: > Zeming, > > Jacek also has a really good online spark book for spark 2, "mastering > spark". I found it very helpful when trying to understand spark 2's > encoders. > > his book is here: > https://www.gitbook.com/book/jaceklaskowski/mastering-apache-spark/details > > > On Wed, May 3, 2017 at 8:16 PM, Neelesh Salian > wrote: > >> The Apache Spark documentation is good to begin with. >> All the programming guides, particularly. >> >> >> On Wed, May 3, 2017 at 5:07 PM, ayan guha wrote: >> >>> I would suggest do not buy any book, just start with databricks >>> community edition >>> >>> On Thu, May 4, 2017 at 9:30 AM, Tobi Bosede wrote: >>> Well that is the nature of technology, ever evolving. There will always be new concepts. If you're trying to get started ASAP and the internet isn't enough, I'd recommend buying a book and using Spark 1.6. A lot of production stacks are still on that version and the knowledge from mastering 1.6 is transferable to 2+. I think that beats waiting forever. On Wed, May 3, 2017 at 6:35 PM, Zeming Yu wrote: > I'm trying to decide whether to buy the book learning spark, spark for > machine learning etc. or wait for a new edition covering the new concepts > like dataframe and datasets. Anyone got any suggestions? > >>> >>> >>> -- >>> Best Regards, >>> Ayan Guha >>> >> >> >> >> -- >> Regards, >> Neelesh S. Salian >> >> >
Re: Spark books
*"I would suggest do not buy any book, just start with databricks community edition"* I dont agree with above , "Learning Spark" book was definitely stepping stone for me. All the basics that one beginner can/will need is covered in very easy to understand format with examples. Great book! highly recommended .. Off course, one has to mature their learning curve by moving on to other resources, Apache documentation and along with github repos are excellent resources . Thank you, *Pushkar Gujar* On Wed, May 3, 2017 at 8:16 PM, Neelesh Salian wrote: > The Apache Spark documentation is good to begin with. > All the programming guides, particularly. > > > On Wed, May 3, 2017 at 5:07 PM, ayan guha wrote: > >> I would suggest do not buy any book, just start with databricks community >> edition >> >> On Thu, May 4, 2017 at 9:30 AM, Tobi Bosede wrote: >> >>> Well that is the nature of technology, ever evolving. There will always >>> be new concepts. If you're trying to get started ASAP and the internet >>> isn't enough, I'd recommend buying a book and using Spark 1.6. A lot of >>> production stacks are still on that version and the knowledge from >>> mastering 1.6 is transferable to 2+. I think that beats waiting forever. >>> >>> On Wed, May 3, 2017 at 6:35 PM, Zeming Yu wrote: >>> I'm trying to decide whether to buy the book learning spark, spark for machine learning etc. or wait for a new edition covering the new concepts like dataframe and datasets. Anyone got any suggestions? >>> >>> >> >> >> -- >> Best Regards, >> Ayan Guha >> > > > > -- > Regards, > Neelesh S. Salian > >
Re: Spark books
Zeming, Jacek also has a really good online spark book for spark 2, "mastering spark". I found it very helpful when trying to understand spark 2's encoders. his book is here: https://www.gitbook.com/book/jaceklaskowski/mastering-apache-spark/details On Wed, May 3, 2017 at 8:16 PM, Neelesh Salian wrote: > The Apache Spark documentation is good to begin with. > All the programming guides, particularly. > > > On Wed, May 3, 2017 at 5:07 PM, ayan guha wrote: > >> I would suggest do not buy any book, just start with databricks community >> edition >> >> On Thu, May 4, 2017 at 9:30 AM, Tobi Bosede wrote: >> >>> Well that is the nature of technology, ever evolving. There will always >>> be new concepts. If you're trying to get started ASAP and the internet >>> isn't enough, I'd recommend buying a book and using Spark 1.6. A lot of >>> production stacks are still on that version and the knowledge from >>> mastering 1.6 is transferable to 2+. I think that beats waiting forever. >>> >>> On Wed, May 3, 2017 at 6:35 PM, Zeming Yu wrote: >>> I'm trying to decide whether to buy the book learning spark, spark for machine learning etc. or wait for a new edition covering the new concepts like dataframe and datasets. Anyone got any suggestions? >>> >>> >> >> >> -- >> Best Regards, >> Ayan Guha >> > > > > -- > Regards, > Neelesh S. Salian > >
Re: Spark books
The Apache Spark documentation is good to begin with. All the programming guides, particularly. On Wed, May 3, 2017 at 5:07 PM, ayan guha wrote: > I would suggest do not buy any book, just start with databricks community > edition > > On Thu, May 4, 2017 at 9:30 AM, Tobi Bosede wrote: > >> Well that is the nature of technology, ever evolving. There will always >> be new concepts. If you're trying to get started ASAP and the internet >> isn't enough, I'd recommend buying a book and using Spark 1.6. A lot of >> production stacks are still on that version and the knowledge from >> mastering 1.6 is transferable to 2+. I think that beats waiting forever. >> >> On Wed, May 3, 2017 at 6:35 PM, Zeming Yu wrote: >> >>> I'm trying to decide whether to buy the book learning spark, spark for >>> machine learning etc. or wait for a new edition covering the new concepts >>> like dataframe and datasets. Anyone got any suggestions? >>> >> >> > > > -- > Best Regards, > Ayan Guha > -- Regards, Neelesh S. Salian
Re: Spark books
I would suggest do not buy any book, just start with databricks community edition On Thu, May 4, 2017 at 9:30 AM, Tobi Bosede wrote: > Well that is the nature of technology, ever evolving. There will always be > new concepts. If you're trying to get started ASAP and the internet isn't > enough, I'd recommend buying a book and using Spark 1.6. A lot of > production stacks are still on that version and the knowledge from > mastering 1.6 is transferable to 2+. I think that beats waiting forever. > > On Wed, May 3, 2017 at 6:35 PM, Zeming Yu wrote: > >> I'm trying to decide whether to buy the book learning spark, spark for >> machine learning etc. or wait for a new edition covering the new concepts >> like dataframe and datasets. Anyone got any suggestions? >> > > -- Best Regards, Ayan Guha
Re: Spark books
Well that is the nature of technology, ever evolving. There will always be new concepts. If you're trying to get started ASAP and the internet isn't enough, I'd recommend buying a book and using Spark 1.6. A lot of production stacks are still on that version and the knowledge from mastering 1.6 is transferable to 2+. I think that beats waiting forever. On Wed, May 3, 2017 at 6:35 PM, Zeming Yu wrote: > I'm trying to decide whether to buy the book learning spark, spark for > machine learning etc. or wait for a new edition covering the new concepts > like dataframe and datasets. Anyone got any suggestions? >
Spark books
I'm trying to decide whether to buy the book learning spark, spark for machine learning etc. or wait for a new edition covering the new concepts like dataframe and datasets. Anyone got any suggestions?
