Mapreduce 134 Success Secrets

Mapreduce 134 Success Secrets - 134 Most Asked Questions on Mapreduce - What You Need to Know [color=rgb(85, 85, 85) !important]Paperback [color=rgb(85, 85, 85) !important]– February 24, 2014
by Kenneth Holman  (Author)

MapReduce' is a software design type for handling great information places with a parallel, distributed set of rules on a cluster.

There has never been a MapReduce Guide like this.

It contains 134 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about MapReduce.

A quick look inside of some of the subjects covered: Hadoop - History, Apache Hadoop, MapReduce - Logical view, Facebook, Inc. - Technical aspects, Computer clusters - Task scheduling, Google App Engine Experimental, CouchDB - Bibliography, Snappy (software), Doug Cutting - Use of MapReduce paradigm, Apache Hadoop Commercially supported Hadoop-related products, Data-intensive computing - Hadoop, Index (search engine) - Challenges in parallelism, Netezza - Products, Sawzall (programming language) - Motivation, Data-intensive computing - System architectures, Amazon DynamoDB - Overview, Amazon Elastic Compute Cloud - Persistent storage, Apache Hive - HiveQL, Hadoop - Other applications, Apache Gora, Predictive Analysis - Technology and big data influences, Pig (programming language), MapReduce - Examples, Distributed file system for cloud - Supporting techniques, MapReduce - Restricted programming framework, MapReduce - Overview, Cassandra (database) - History, Teradata - Teradata and Big Data, Teradata - Acquisitions, Aster Data Systems - Products, Hadoop - Commercially supported Hadoop-related products, Hadoop - Architecture, Computer cluster - Task scheduling, Apache Hadoop Papers, Hadoop - Other file systems, Couchbase Server - Product history, BigTable - History, MongoDB - Main features, HDFS, Amazon AWS - Compute, Apache Cassandra - Main features, and much more..

Product Details Series: Success Secrets Paperback: 104 pages Publisher: Emereo Publishing (February 24, 2014) Language: English ISBN-10: 148852839X ISBN-13: 978-1488528392 Product Dimensions: 7.4 x 0.2 x 9.7 inc