Big Data Benchmarks

Big Data Benchmarks, Performance Optimization, and Emerging Hardwar  eBooks & eLearning

Posted by tanas.olesya at Dec. 4, 2017
Big Data Benchmarks, Performance Optimization, and Emerging Hardwar

Big Data Benchmarks, Performance Optimization, and Emerging Hardware (Lecture Notes in Computer Science) by Jianfeng Zhan
English | 17 Nov. 2014 | ISBN: 331913020X | 232 Pages | PDF | 18 MB

The 16 papers presented were carefully reviewed and selected from 30 submissions. Both workshops focus on architecture and system support for big data systems, such as benchmarking; workload characterization; performance optimization and evaluation; emerging hardware.

Advancing Big Data Benchmarks  eBooks & eLearning

Posted by DZ123 at March 2, 2017
Advancing Big Data Benchmarks

Tilmann Rabl, Nambiar Raghunath, Meikel Poess, "Advancing Big Data Benchmarks"
English | 2014 | ISBN: 3319105957 | PDF | pages: 207 | 39.2 mb

Big Data Benchmarks, Performance Optimization, and Emerging Hardware  eBooks & eLearning

Posted by roxul at March 31, 2016
Big Data Benchmarks, Performance Optimization, and Emerging Hardware

Jianfeng Zhan and Rui Han, "Big Data Benchmarks, Performance Optimization, and Emerging Hardware"
English | ISBN: 3319290053 | 2016 | 160 pages | PDF | 10 MB

New in Big Data Apache HiveMall - Machine Learning with SQL  eBooks & eLearning

Posted by naag at May 24, 2018
New in Big Data Apache HiveMall - Machine Learning with SQL

New in Big Data Apache HiveMall - Machine Learning with SQL
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 32M | Lec: 7 | 80 MB
Genre: eLearning | Language: English

Werkzeuge der digitalen Wirtschaft: Big Data, NoSQL & Co. (Repost)  eBooks & eLearning

Posted by AvaxGenius at May 22, 2018
Werkzeuge der digitalen Wirtschaft: Big Data, NoSQL & Co. (Repost)

Werkzeuge der digitalen Wirtschaft: Big Data, NoSQL & Co.: Eine Einführung in relationale und nicht-relationale Datenbanken By Andreas Meier
German | EPUB | 2018 | 63 Pages | ISBN : 3658203366 | 0.8 MB

Das essential führt in Big Data ein und erläutert die wichtigsten Werkzeuge zur Nutzung von SQL- wie NoSQL-Technologien. Neben semantischer Datenmodellierung, Abfragesprachen, Konsistenzgewährung mit ACID oder BASE werden NoSQL-Datenbanken vorgestellt und organisatorische Aspekte des Datenmanagements erläutert. Der Leser erhält mit diesem Kompendium die wichtigsten Grundlagen sowohl zu SQL- wie auch zu NoSQL-Datenbanken.
Planung und Reporting im BI-gestützten Controlling: Grundlagen, Business Intelligence, Mobile BI und Big-Data-Analytics (Repost

Planung und Reporting im BI-gestützten Controlling: Grundlagen, Business Intelligence, Mobile BI und Big-Data-Analytics,3. Auflage by Dietmar Schön
German | PDF,EPUB | 2018 | 527 Pages | ISBN : 3658199628 | 24.74 MB

Planungs- und Reportinglösungen leiden in vielen Unternehmen immer noch unter mangelnder Datenqualität, sind unzureichend integriert und häufig zeit- und kostenintensiv.
Dieses praxisorientierte Buch zeigt Schritt für Schritt, wie es anders geht. Es wird systematisch gezeigt, wie moderne Planungs- und Reportingsysteme im BI-gestützten Controlling mit dem Einsatz von Data-Warehouse- und Big-Data-Technologie aufgebaut werden.
Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics (Repost)

Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics By Zoran Majkić
English | PDF(Repost),EPUB | 2014 | 528 Pages | ISBN : 331904155X | 14.39 MB

This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semantics are discussed in depth. An analysis method is also developed that combines techniques from second order logic, data modeling, co-algebras and functorial categorial semantics.

Apache Spark with Python - The next generation of Big Data  eBooks & eLearning

Posted by naag at May 20, 2018
Apache Spark with Python - The next generation of Big Data

Apache Spark with Python - The next generation of Big Data
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | Lec: 12 | 94 MB
Genre: eLearning | Language: English

Gather perspective on why Spark is a next logical step to Hadoop in the Big Data paradigm

Cognitive Computing and Big Data Analytics  eBooks & eLearning

Posted by AvaxGenius at May 18, 2018
Cognitive Computing and Big Data Analytics

Cognitive Computing and Big Data Analytics By Judith Hurwitz
English | True PDF | 2015 | 276 Pages | ISBN : 1118896629 | 5.31 MB

A comprehensive guide to learning technologies that unlock the value in big data
Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming.

Intelligent Methods and Big Data in Industrial Applications  eBooks & eLearning

Posted by AvaxGenius at May 18, 2018
Intelligent Methods and Big Data in Industrial Applications

Intelligent Methods and Big Data in Industrial Applications By Robert Bembenik
English | PDF,EPUB | 2018 (2019 Edition) | 370 Pages | ISBN : 3319776037 | 19.36 MB

The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.