Apache Spark Fundamental

Apache Spark 2 for Beginners  eBooks & eLearning

Posted by naag at Jan. 1, 2017
Apache Spark 2 for Beginners

Apache Spark 2 for Beginners
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5.5 Hours | 1.06 GB
Genre: eLearning | Language: English

Taming Big Data with Apache Spark and Python - Hands On  eBooks & eLearning

Posted by naag at Dec. 25, 2016
Taming Big Data with Apache Spark and Python - Hands On

Taming Big Data with Apache Spark and Python - Hands On
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours 11M | 4.23 GB
Genre: eLearning | Language: English

Apache Spark for Data Science Cookbook  eBooks & eLearning

Posted by AlenMiler at Dec. 24, 2016
Apache Spark for Data Science Cookbook

Spark for Data Science Cookbook by Padma Priya Chitturi
English | 5 Jan. 2017 | ISBN: 1785880101 | 358 Pages | AZW3/MOBI/EPUB/PDF (conv) | 14.77 MB

Real World Vagrant - Build an Apache Spark Development Env (2016)  eBooks & eLearning

Posted by naag at Nov. 28, 2016
Real World Vagrant - Build an Apache Spark Development Env (2016)

Real World Vagrant - Build an Apache Spark Development Env
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 14 | 825 MB
Genre: eLearning | Language: English

With a single command, build an IDE, Scala and Spark (1.6.2 or 2.0.1) Development Environment! Run in under 3 minutes!!

Apache Spark 2.0 + Java : DO Big Data Analytics & ML (2016)  eBooks & eLearning

Posted by naag at Nov. 10, 2016
Apache Spark 2.0 + Java : DO Big Data Analytics & ML (2016)

Apache Spark 2.0 + Java : DO Big Data Analytics & ML
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8 Hours | Lec: 59 | 980 MB
Genre: eLearning | Language: English

Project Based, Hands-on Practices, Spark SQL, Spark Streaming, Java Setup and building real world applications

Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka  eBooks & eLearning

Posted by Grev27 at Nov. 3, 2016
Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

Raul Estrada, Isaac Ruiz, "Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka"
English | ISBN: 1484221745 | 2016 | EPUB | 264 pages | 2,3 MB

Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka  eBooks & eLearning

Posted by roxul at Oct. 31, 2016
Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

Raul Estrada, "Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka"
English | ISBN: 1484221745 | 2016 | 292 pages | PDF | 11 MB

Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka  eBooks & eLearning

Posted by Rare-1 at Oct. 24, 2016
Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka by Raul Estrada, Isaac Ruiz
English | ISBN: 1484221745 | 2016 | EPUB | 264 pages | 2.35 MB

Beginning Data Exploration and Analysis with Apache Spark (2016)  eBooks & eLearning

Posted by naag at Oct. 22, 2016
Beginning Data Exploration and Analysis with Apache Spark (2016)

Beginning Data Exploration and Analysis with Apache Spark
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 244 MB
Genre: eLearning | Language: English

80% of a data scientist's job is data preparation. This course is all about data preparation i.e. cleaning, transforming, summarizing data using Spark.

Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka  eBooks & eLearning

Posted by Underaglassmoon at Oct. 3, 2016
Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
Apress | Computer Science | November 2016 | ISBN-10: 1484221745 | 264 pages | pdf | 11.09 mb

Authors: Estrada, Raul, Ruiz, Isaac
The SMACK stack is relatively new, and there are no books about it currently on the marketEverybody wants to learn about how to incorporate big data, but there is a lack of practical guidesThis book covers the full stack of big data architecture, discussing the practical benefits of each technology