Big Data Smack

Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka [repost]

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 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

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

Handbook of Big Data Technologies  eBooks & eLearning

Posted by hill0 at Feb. 26, 2017
Handbook of Big Data Technologies

Handbook of Big Data Technologies by Sherif Sakr
English | 30 Mar. 2017 | ISBN: 3319493396 | 895 Pages | PDF | 31.18 MB

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value.
"Refining the Concept of Scientific Inference When Working with Big Data" by Ben A. Wender

Refining the Concept of Scientific Inference When Working with Big Data
National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Committee on Applied and Theoretical Statistics; Board on Mathematical Sciences and Their Applications
NAS Press | 2017 | ISBN: 0309454441 9780309454445 | 115 pages | PDF | 8 MB

This volume examines critical challenges and opportunities in performing scientific inference reliably when working with big data. The book explores new methodologic developments that hold significant promise and potential research program areas for the future.

Big Data Analysis: New Algorithms for a New Society  eBooks & eLearning

Posted by naag at Feb. 23, 2017
Big Data Analysis: New Algorithms for a New Society

Big Data Analysis: New Algorithms for a New Society
Springer | Computational Intelligence and Complexity | January 17, 2016 | ISBN-10: 3319269879 | 329 pages | EPUB | 1.04 mb
Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing

Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing
Springer | Studies in Big Data | March 8, 2016 | ISBN-10: 3319275186 | 191 pages | EPUB | 2.87 mb

Ethical Reasoning in Big Data: An Exploratory Analysis  eBooks & eLearning

Posted by naag at Feb. 23, 2017
Ethical Reasoning in Big Data: An Exploratory Analysis

Ethical Reasoning in Big Data: An Exploratory Analysis
Springer | Computer Science | May 24, 2016 | ISBN-10: 3319284207 | 192 pages | EPUB | 0.7 mb