Apache Flink: Exploratory Data Analytics with SQL.
(eVideo)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2020.
Status
Description
Loading Description...
Also in this Series
Checking series information...
More Details
Format
eVideo
Language
English
Notes
General Note
2/21/202012:00:00AM
Participants/Performers
Presenter: Kumaran Ponnambalam
Description
Learn how to use Apache Flink relational APIs—the Table API and SQL—for batch and real-time exploratory data analytics.
Description
Exploratory data analytics is a key phase in data science that deals with investigating data to extract insights. In a world of big data, exploring massive datasets is a challenge, since it requires technologies that are scalable, fast, and feature rich. Apache Flink—the popular stream-processing platform—is well suited for this effort. This course focuses on exploring datasets with SQL on Apache Flink. Instructor Kumaran Ponnambalam starts off by reviewing the relational APIs that Flink provides for big data analytics. Kumaran then takes a deeper look at the Table API and SQL functions. He explores various SQL capabilities available for exploring data, including filtering, aggregations and joins. To wrap up, he provides a use case project that allows you to practice your new skills.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Ponnambalam, K. (2020). Apache Flink: Exploratory Data Analytics with SQL . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Ponnambalam, Kumaran. 2020. Apache Flink: Exploratory Data Analytics With SQL. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Ponnambalam, Kumaran. Apache Flink: Exploratory Data Analytics With SQL linkedin.com, 2020.
MLA Citation, 9th Edition (style guide)Ponnambalam, Kumaran. Apache Flink: Exploratory Data Analytics With SQL linkedin.com, 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
64fbd68b-328f-a985-a798-658d309f7281-eng
Grouping Information
Grouped Work ID | 64fbd68b-328f-a985-a798-658d309f7281-eng |
---|---|
Full title | apache flink exploratory data analytics with sql |
Author | ponnambalam kumaran |
Grouping Category | movie |
Last Update | 2024-02-28 14:48:40PM |
Last Indexed | 2024-03-27 02:15:32AM |
Book Cover Information
Image Source | sideload |
---|---|
First Loaded | May 29, 2023 |
Last Used | May 29, 2023 |
Marc Record
First Detected | Nov 10, 2021 06:44:22 AM |
---|---|
Last File Modification Time | Feb 28, 2024 02:49:57 PM |
MARC Record
LEADER | 02291ngm a22003133i 4500 | ||
---|---|---|---|
001 | LDC2819145 | ||
003 | LDC | ||
005 | 20240228224550.2 | ||
006 | m c | ||
007 | cr cna a | ||
008 | 240228s2020 cau067 o vleng d | ||
040 | |a linkedin.com|b eng | ||
050 | 4 | |a LDC2819145 | |
100 | 1 | |a Ponnambalam, Kumaran|e speaker. | |
245 | 1 | 0 | |a Apache Flink: Exploratory Data Analytics with SQL.|c with Kumaran Ponnambalam |
264 | 1 | |a Carpenteria, CA|b linkedin.com,|c 2020. | |
306 | |a 01h:07m:36s | ||
337 | |a computer|2 rdamedia | ||
338 | |a online resource|2 rdacarrier | ||
500 | |a 2/21/202012:00:00AM | ||
511 | 1 | |a Presenter: Kumaran Ponnambalam | |
520 | |a Learn how to use Apache Flink relational APIs—the Table API and SQL—for batch and real-time exploratory data analytics. | ||
520 | |a Exploratory data analytics is a key phase in data science that deals with investigating data to extract insights. In a world of big data, exploring massive datasets is a challenge, since it requires technologies that are scalable, fast, and feature rich. Apache Flink—the popular stream-processing platform—is well suited for this effort. This course focuses on exploring datasets with SQL on Apache Flink. Instructor Kumaran Ponnambalam starts off by reviewing the relational APIs that Flink provides for big data analytics. Kumaran then takes a deeper look at the Table API and SQL functions. He explores various SQL capabilities available for exploring data, including filtering, aggregations and joins. To wrap up, he provides a use case project that allows you to practice your new skills. | ||
538 | |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. | ||
655 | 4 | |a Instructional films.|2 lcgft | |
655 | 4 | |a Educational films.|2 lcgft | |
710 | 2 | |a linkedin.com (Firm) | |
856 | 4 | 0 | |u https://www.linkedin.com/learning/apache-flink-exploratory-data-analytics-with-sql?u=121347442&auth=true|z View course details on linkedin.com/learning |
856 | 4 | 2 | |3 thumbnail|u https://media.licdn.com/dms/image/C4E0DAQFCicsgkd8ROw/learning-public-crop_288_512/0/1582056416169?e=2147483647&v=beta&t=dO-Q4BvX4kKVNSg_WbjWI7mZqGQuNrLdpac_3eMJi2U |