>
> From: Chandeep Singh [mailto:c...@chandeep.com]
> Sent: 16 February 2016 18:17
> To: Mich Talebzadeh <m...@peridale.co.uk>
> Cc: Ashok Kumar <ashok34...@yahoo.com>; User <user@spark.apache.org>
> Subject: Re: Use case for RDD and Data Frame
>
> He
Singh [mailto:c...@chandeep.com]
Sent: 16 February 2016 18:17
To: Mich Talebzadeh <m...@peridale.co.uk>
Cc: Ashok Kumar <ashok34...@yahoo.com>; User <user@spark.apache.org>
Subject: Re: Use case for RDD and Data Frame
Here is another interesting post.
http://www.kdnuggets.com/
Any information in this message
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..@yahoo.com.INVALID]
Sent: 16 February 2016 16:06
To: User <user@spark.apache.org>
Subject: Use case for RDD and Data Frame
Gurus,
What are the main differences between a Resilient Distributed Data (RDD) and
Data Frame (DF)
Where one can use RDD without transforming it to DF?
Regards and obliged
This blog post should be helpful
http://www.agildata.com/apache-spark-rdd-vs-dataframe-vs-dataset/
Thanks,
Andy.
--
Andy Grove
Chief Architect
AgilData - Simple Streaming SQL that Scales
www.agildata.com
On Tue, Feb 16, 2016 at 9:05 AM, Ashok Kumar
wrote:
>
Gurus,
What are the main differences between a Resilient Distributed Data (RDD) and
Data Frame (DF)
Where one can use RDD without transforming it to DF?
Regards and obliged