Learning Pyspark
Aparche Spark streaming con Python y PySpark eBooks & eLearning
Posted by Sigha at Feb. 17, 2019
Aparche Spark streaming con Python y PySpark
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 1.30 GB
Duration: 3.5 hours | Genre: eLearning Video | Language: Español
Agrega Spark Streaming a tu proyectos de Machine Learning y Data Science
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 1.30 GB
Duration: 3.5 hours | Genre: eLearning Video | Language: Español
Agrega Spark Streaming a tu proyectos de Machine Learning y Data Science
Scalable Machine Learning with the Microsoft Machine Learning Server eBooks & eLearning
Posted by IrGens at June 29, 2019
Scalable Machine Learning with the Microsoft Machine Learning Server
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 21m | 375 MB
Instructor: Shawn Hainsworth
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 21m | 375 MB
Instructor: Shawn Hainsworth
Machine Learning with PySpark: With Natural Language Processing and Recommender Systems eBooks & eLearning
Posted by roxul at Dec. 14, 2018
Pramod Singh, "Machine Learning with PySpark: With Natural Language Processing and Recommender Systems"
English | ISBN: 1484241304 | 2019 | 223 pages | PDF, EPUB | 15 MB
English | ISBN: 1484241304 | 2019 | 223 pages | PDF, EPUB | 15 MB
PySpark Cookbook: Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python eBooks & eLearning
Posted by AlenMiler at July 4, 2018
PySpark Cookbook: Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python by Denny Lee
English | 29 Jun. 2018 | ISBN: 1788835360 | 330 Pages | EPUB | 6.58 MB
English | 29 Jun. 2018 | ISBN: 1788835360 | 330 Pages | EPUB | 6.58 MB
PySpark Algorithms eBooks & eLearning
Posted by hill0 at Aug. 18, 2019
PySpark Algorithms
by Mahmoud Parsian
English | 2019 | ISBN: B07WQHTVCJ | 682 Pages | EPUB | 16 MB
by Mahmoud Parsian
English | 2019 | ISBN: B07WQHTVCJ | 682 Pages | EPUB | 16 MB
PySpark Recipes: A Problem-Solution Approach with PySpark2 eBooks & eLearning
Posted by AvaxGenius at Dec. 10, 2017
PySpark Recipes: A Problem-Solution Approach with PySpark2 By Raju Kumar Mishra
English | PDF,EPUB | 2017 (2018 Edition) | 280 Pages | ISBN : 1484231406 | 4.64 MB
Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!
Introduction to PySpark Training Video eBooks & eLearning
Posted by IrGens at Feb. 24, 2016
Introduction to PySpark Training Video
2016-02-08 | .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 3.5 hours | 435 MB
Instructor: Alex Robbins
2016-02-08 | .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 3.5 hours | 435 MB
Instructor: Alex Robbins
PySpark for Beginners eBooks & eLearning
Posted by naag at June 29, 2018
PySpark for Beginners
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 597 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 597 MB
Genre: eLearning | Language: English
HDPCD:Spark using Python (pyspark) eBooks & eLearning
Posted by naag at March 8, 2018
HDPCD:Spark using Python (pyspark)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 11.5 Hours | Lec: 61 | 1.86 GB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 11.5 Hours | Lec: 61 | 1.86 GB
Genre: eLearning | Language: English
Prepare for Hortonworks HDP Certified Developer - Spark using Python as programming language
Hands-On Big Data Analytics with PySpark eBooks & eLearning
Posted by First1 at May 6, 2019
Hands-On Big Data Analytics with PySpark by Rudy Lai, Bartłomiej Potaczek
English | April 23rd, 2019 | ISBN: 183864413X | 182 pages | EPUB | 5.36 MB
English | April 23rd, 2019 | ISBN: 183864413X | 182 pages | EPUB | 5.36 MB
Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs