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2019-07-16T05:40:00Z

What do you like most about Spark SQL?

Miriam Tover - PeerSpot reviewer
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SurjitChoudhury - PeerSpot reviewer
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Top 5Leaderboard
2023-11-23T15:19:35Z
Nov 23, 2023
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2023-08-18T08:37:21Z
Aug 18, 2023
Aria Amini - PeerSpot reviewer
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2023-07-26T11:55:00Z
Jul 26, 2023
Sahil Taneja - PeerSpot reviewer
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2023-05-05T08:54:14Z
May 5, 2023
Lucas Dreyer - PeerSpot reviewer
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2023-01-04T13:37:06Z
Jan 4, 2023
KM
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2022-11-22T13:27:47Z
Nov 22, 2022
Learn what your peers think about Spark SQL. Get advice and tips from experienced pros sharing their opinions. Updated: October 2024.
814,763 professionals have used our research since 2012.
Mahdi Sharifmousavi - PeerSpot reviewer
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2022-08-10T11:49:13Z
Aug 10, 2022
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2021-12-02T15:07:38Z
Dec 2, 2021
KG
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2021-05-29T10:04:10Z
May 29, 2021
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2020-09-27T04:10:00Z
Sep 27, 2020
PK
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2020-04-26T06:32:00Z
Apr 26, 2020
SS
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2020-03-18T06:06:00Z
Mar 18, 2020
DM
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2020-02-09T08:17:05Z
Feb 9, 2020
it_user986637 - PeerSpot reviewer
Real User
2019-07-16T05:40:00Z
Jul 16, 2019
Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. There are several ways to interact with Spark SQL including SQL and the Dataset API. When computing a result the same execution engine is used, independent of which API/language you are using to express the computation. This unification means that developers...
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