Performing advanced analytics on relational data with Spark SQL
Resource Information
The work Performing advanced analytics on relational data with Spark SQL represents a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium. This resource is a combination of several types including: Work, Still Image, Visual Materials.
The Resource
Performing advanced analytics on relational data with Spark SQL
Resource Information
The work Performing advanced analytics on relational data with Spark SQL represents a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium. This resource is a combination of several types including: Work, Still Image, Visual Materials.
- Label
- Performing advanced analytics on relational data with Spark SQL
- Statement of responsibility
- with Michael Armburst
- Language
- eng
- Summary
- "In this event, we'll examine Spark SQL, a new Alpha component that is part of the Apache Spark 1.0 release. Spark SQL lets developers natively query data stored in both existing RDDs and external sources such as Apache Hive. A key feature of Spark SQL is the ability to blur the lines between relational tables and RDDs, making it easy for developers to intermix SQL commands that query external data with complex analytics. In addition to Spark SQL, we'll explore the Catalyst optimizer framework, which allows Spark SQL to automatically rewrite query plans to execute more efficiently."--Resource description page
- Cataloging source
- UMI
- Characteristic
- videorecording
- PerformerNote
- Presenter, Michael Armburst
- Runtime
- 42
- Technique
- live action
Context
Context of Performing advanced analytics on relational data with Spark SQLWork of
No resources found
No enriched resources found
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.mvlc.org/resource/09SDnVg07XE/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/resource/09SDnVg07XE/">Performing advanced analytics on relational data with Spark SQL</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.mvlc.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.mvlc.org/">Merrimack Valley Library Consortium</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Work Performing advanced analytics on relational data with Spark SQL
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.mvlc.org/resource/09SDnVg07XE/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/resource/09SDnVg07XE/">Performing advanced analytics on relational data with Spark SQL</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.mvlc.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.mvlc.org/">Merrimack Valley Library Consortium</a></span></span></span></span></div>
