Totally agreed with hafasa, you need to identify your requirements and
needs before choose spark.
If you want to handle data with fast access go to no sql (mongo,aerospike
etc) if you need data analytical then spark is best .
Regards,
Vaquar khan
On 14 Jul 2015 20:39, Hafsa Asif
This is where you can get started
https://spark.apache.org/docs/latest/sql-programming-guide.html
Thanks
Best Regards
On Mon, Jul 13, 2015 at 3:54 PM, vinod kumar vinodsachin...@gmail.com
wrote:
Hi Everyone,
I am developing application which handles bulk of data around
millions(This may
Hi Akhil
Is my choice to switch to spark is good? because I don't have enough
information regards limitation and working environment of spark.
I tried spark SQL but it seems it returns data slower than compared to
MsSQL.( I have tested with data which has 4 records)
On Tue, Jul 14, 2015 at
It might take some time to understand the echo system. I'm not sure about
what kind of environment you are having (like #cores, Memory etc.), To
start with, you can basically use a jdbc connector or dump your data as csv
and load it into Spark and query it. You get the advantage of caching if
you
Thank you Hafsa
On Tue, Jul 14, 2015 at 11:09 AM, Hafsa Asif hafsa.a...@matchinguu.com
wrote:
Hi,
I was also in the same situation as we were using MySQL. Let me give some
clearfications:
1. Spark provides a great methodology for big data analysis. So, if you
want to make your system more
Hi Everyone,
I am developing application which handles bulk of data around millions(This
may vary as per user's requirement) records.As of now I am using
MsSqlServer as back-end and it works fine but when I perform some
operation on large data I am getting overflow exceptions.I heard about
spark
