The Resource Performing advanced analytics on relational data with Spark SQL, with Michael Armburst
Performing advanced analytics on relational data with Spark SQL, with Michael Armburst
Resource Information
The item Performing advanced analytics on relational data with Spark SQL, with Michael Armburst represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium.This item is available to borrow from 1 library branch.
Resource Information
The item Performing advanced analytics on relational data with Spark SQL, with Michael Armburst represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium.
This item is available to borrow from 1 library branch.
- 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
- Language
- eng
- Extent
- 1 streaming video file ( 41 min., 22 sec.)
- Note
- Title from title screen (viewed Aug. 4, 2014)
- Label
- Performing advanced analytics on relational data with Spark SQL
- Title
- 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
- http://library.link/vocab/creatorName
- Armburst, Michael
- PerformerNote
- Presenter, Michael Armburst
- Runtime
- 42
- http://library.link/vocab/subjectName
-
- SQL (Computer program language)
- Web usage mining
- Database management
- Databases
- Technique
- live action
- Label
- Performing advanced analytics on relational data with Spark SQL, with Michael Armburst
- Note
- Title from title screen (viewed Aug. 4, 2014)
- Carrier category
-
- online resource
- other
- Carrier category code
-
- cr
- vz
- Carrier MARC source
-
- rdacarrier
- rdacarrier
- Color
- multicolored
- Configuration of playback channels
- unknown
- Content category
- still image
- Content type code
-
- sti
- Content type MARC source
- rdacontent
- Control code
- ocn885819473
- Dimensions
- unknown
- Extent
- 1 streaming video file ( 41 min., 22 sec.)
- Form of item
- electronic
- Media category
-
- computer
- video
- Media MARC source
-
- rdamedia
- rdamedia
- Media type code
-
- c
- v
- Medium for sound
- other
- Other physical details
- digital, sound, color.
- Sound
- sound
- Sound on medium or separate
- sound on medium
- Specific material designation
-
- remote
- other
- Stock number
- CL0500000464
- Video recording format
- other
- Label
- Performing advanced analytics on relational data with Spark SQL, with Michael Armburst
- Note
- Title from title screen (viewed Aug. 4, 2014)
- Carrier category
-
- online resource
- other
- Carrier category code
-
- cr
- vz
- Carrier MARC source
-
- rdacarrier
- rdacarrier
- Color
- multicolored
- Configuration of playback channels
- unknown
- Content category
- still image
- Content type code
-
- sti
- Content type MARC source
- rdacontent
- Control code
- ocn885819473
- Dimensions
- unknown
- Extent
- 1 streaming video file ( 41 min., 22 sec.)
- Form of item
- electronic
- Media category
-
- computer
- video
- Media MARC source
-
- rdamedia
- rdamedia
- Media type code
-
- c
- v
- Medium for sound
- other
- Other physical details
- digital, sound, color.
- Sound
- sound
- Sound on medium or separate
- sound on medium
- Specific material designation
-
- remote
- other
- Stock number
- CL0500000464
- Video recording format
- other
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<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/portal/Performing-advanced-analytics-on-relational-data/errBSuk5_jA/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Performing-advanced-analytics-on-relational-data/errBSuk5_jA/">Performing advanced analytics on relational data with Spark SQL, with Michael Armburst</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>
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<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/portal/Performing-advanced-analytics-on-relational-data/errBSuk5_jA/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Performing-advanced-analytics-on-relational-data/errBSuk5_jA/">Performing advanced analytics on relational data with Spark SQL, with Michael Armburst</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>
