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Spark + Hadoop: Perfect Together

Recorded on November 23rd, 2015

Apache Spark brings fast, in-memory data processing to Hadoop. Elegant and expressive development APIs in Scala, Java, R, and Python allow data workers to efficiently execute streaming, machine learning or SQL workloads for fast iterative access to datasets. Apache Spark’s momentum continues to grow and throughout 2015 we saw customers across all industries get real value from using it with the Hortonworks Data Platform (HDP).

In this webinar on November 23, 2015, you will gain insight on how to unlock a fully integrated Spark experience within your enterprise Hadoop environment that is manageable, secure and deployable anywhere.


Rajesh K. Mehta says:

Looking forward to this

Rich Haney says:

I must admit that my conclusion is that TensorFlow supercedes Spark.

That is what others have concluded, and it is my conclusion as well.

Harish N says:

Looking forward.

RH says:

Good luck with that. A lot of people have concluded the opposite:

Anyway, TensorFlow’s strength is deep learning. Spark does a lot more than that.

Nakkeeran says:

Will be there. Thanks

Abdirahman says:

RF engineering training

Azhar Khan says:

Looking forward to attend, Cheers

Murali says:

it should be interesting

Shiva Gowdra says:

Looking forward to attend this. 12 pm Central time

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Comments are closed.