The Resource Introduction to Apache Hive : quickly create and query large datasets with SQL in Hadoop, with Tom Hanlon
Introduction to Apache Hive : quickly create and query large datasets with SQL in Hadoop, with Tom Hanlon
Resource Information
The item Introduction to Apache Hive : quickly create and query large datasets with SQL in Hadoop, with Tom Hanlon 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 Introduction to Apache Hive : quickly create and query large datasets with SQL in Hadoop, with Tom Hanlon 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 Introduction to Apache Hive training course, expert author Tom Hanlon will teach you how to create and query large datasets in Hadoop. This course is designed for the absolute beginner, meaning no experience with SQL or Hadoop is required. You will start by learning how to connect to Hive, then jump into learning how to create tables and load data. From there, Tom will teach you how to manipulate tables with HiveQL, including how to insert data into a Hive table using HiveQL. This video tutorial also covers how to create views and partitions and transform data with custom scripts. Finally, you will learn about Hive execution engines, such as Map Reduce, Tez, and Spark. Once you have completed this computer based training course, you will have learned how to create tables and load data in Hive, execute SQL queries, use user defined functions, and transform scripts."--Resource description page
- Language
- eng
- Extent
- 1 online resource (1 streaming video file (1 hr., 42 min., 52 sec.))
- Note
-
- Title from title screen (viewed November 4, 2015)
- Date of publication from resource description page
- Label
- Introduction to Apache Hive : quickly create and query large datasets with SQL in Hadoop
- Title
- Introduction to Apache Hive
- Title remainder
- quickly create and query large datasets with SQL in Hadoop
- Statement of responsibility
- with Tom Hanlon
- Language
- eng
- Summary
- "In this Introduction to Apache Hive training course, expert author Tom Hanlon will teach you how to create and query large datasets in Hadoop. This course is designed for the absolute beginner, meaning no experience with SQL or Hadoop is required. You will start by learning how to connect to Hive, then jump into learning how to create tables and load data. From there, Tom will teach you how to manipulate tables with HiveQL, including how to insert data into a Hive table using HiveQL. This video tutorial also covers how to create views and partitions and transform data with custom scripts. Finally, you will learn about Hive execution engines, such as Map Reduce, Tez, and Spark. Once you have completed this computer based training course, you will have learned how to create tables and load data in Hive, execute SQL queries, use user defined functions, and transform scripts."--Resource description page
- Cataloging source
- UMI
- Characteristic
- videorecording
- http://library.link/vocab/creatorName
- Hanlon, Tom
- LC call number
- QA76.9.D5
- PerformerNote
- Presenter, Tom Hanlon
- Runtime
- 103
- http://library.link/vocab/subjectName
-
- Database management
- SQL (Computer program language)
- Databases
- Databases
- Technique
- live action
- Label
- Introduction to Apache Hive : quickly create and query large datasets with SQL in Hadoop, with Tom Hanlon
- Note
-
- Title from title screen (viewed November 4, 2015)
- Date of publication from resource description page
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Configuration of playback channels
- unknown
- Content category
- two-dimensional moving image
- Content type code
-
- tdi
- Content type MARC source
- rdacontent
- Control code
- ocn927715262
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (1 hr., 42 min., 52 sec.))
- Form of item
- online
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- 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
- CL0500000668
- Video recording format
- other
- Label
- Introduction to Apache Hive : quickly create and query large datasets with SQL in Hadoop, with Tom Hanlon
- Note
-
- Title from title screen (viewed November 4, 2015)
- Date of publication from resource description page
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Configuration of playback channels
- unknown
- Content category
- two-dimensional moving image
- Content type code
-
- tdi
- Content type MARC source
- rdacontent
- Control code
- ocn927715262
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (1 hr., 42 min., 52 sec.))
- Form of item
- online
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- 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
- CL0500000668
- 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/Introduction-to-Apache-Hive--quickly-create-and/kVfNWfJRf7I/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Introduction-to-Apache-Hive--quickly-create-and/kVfNWfJRf7I/">Introduction to Apache Hive : quickly create and query large datasets with SQL in Hadoop, with Tom Hanlon</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/Introduction-to-Apache-Hive--quickly-create-and/kVfNWfJRf7I/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Introduction-to-Apache-Hive--quickly-create-and/kVfNWfJRf7I/">Introduction to Apache Hive : quickly create and query large datasets with SQL in Hadoop, with Tom Hanlon</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>
