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Posted to user@spark.apache.org by Zeming Yu <ze...@gmail.com> on 2017/05/03 22:35:46 UTC
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?
Re: Spark books
Posted by Jacek Laskowski <ja...@japila.pl>.
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" <st...@gmail.com>
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 <ne...@gmail.com>
> 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 <gu...@gmail.com> 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 <an...@gmail.com> 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 <ze...@gmail.com> 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
Posted by Stephen Fletcher <st...@gmail.com>.
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 <ne...@gmail.com>
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 <gu...@gmail.com> 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 <an...@gmail.com> 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 <ze...@gmail.com> 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
Posted by "Pushkar.Gujar" <pu...@gmail.com>.
*"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 <ne...@gmail.com>
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 <gu...@gmail.com> 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 <an...@gmail.com> 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 <ze...@gmail.com> 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
Posted by Neelesh Salian <ne...@gmail.com>.
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 <gu...@gmail.com> 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 <an...@gmail.com> 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 <ze...@gmail.com> 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
Posted by ayan guha <gu...@gmail.com>.
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 <an...@gmail.com> 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 <ze...@gmail.com> 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
Posted by Tobi Bosede <an...@gmail.com>.
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 <ze...@gmail.com> 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?
>