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MapReduce: High-impact Strategies - What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors

$39.95

MapReduce: High-impact Strategies - What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors

$39.95

Product Description

The Knowledge Solution. Stop Searching, Stand Out and Pay Off. The #1 ALL ENCOMPASSING Guide to MapReduce.

An Important Message for ANYONE who wants to learn about MapReduce Quickly and Easily...

"Here's Your Chance To Skip The Struggle and Master MapReduce, With the Least Amount of Effort, In 2 Days Or Less..."

MapReduce is a software framework introduced by Google in 2004 to support distributed computing on large data sets on clusters of computers. Parts of the framework are patented in some countries.

The framework is inspired by the map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms.

This book is your ultimate resource for MapReduce. Here you will find the most up-to-date information, analysis, background and everything you need to know.

The Knowledge Solution. Stop Searching, Stand Out and Pay Off. The #1 ALL ENCOMPASSING Guide to MapReduce.

An Important Message for ANYONE who wants to learn about MapReduce Quickly and Easily...

"Here's Your Chance To Skip The Struggle and Master MapReduce, With the Least Amount of Effort, In 2 Days Or Less..."

MapReduce is a software framework introduced by Google in 2004 to support distributed computing on large data sets on clusters of computers. Parts of the framework are patented in some countries.

The framework is inspired by the map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms.

MapReduce libraries have been written in C++, C#, Erlang, Java, OCaml, Perl, Python, PHP, Ruby, F#, R and other programming languages.

Get the edge, learn EVERYTHING you need to know about MapReduce, and ace any discussion, proposal and implementation with the ultimate book – guaranteed to give you the education that you need, faster than you ever dreamed possible!

The information in this book can show you how to be an expert in the field of MapReduce.

Are you looking to learn more about MapReduce? You're about to discover the most spectacular gold mine of MapReduce materials ever created, this book is a unique collection to help you become a master of MapReduce.

This book is your ultimate resource for MapReduce. Here you will find the most up-to-date information, analysis, background and everything you need to know.

In easy to read chapters, with extensive references and links to get you to know all there is to know about MapReduce right away. A quick look inside: MapReduce, Aggregate Level Simulation Protocol, Amazon Relational Database Service, Amazon SimpleDB, Amoeba distributed operating system, Art of War Central, Autonomic Computing, Citrusleaf database, Client–server model, Code mobility, Connection broker, CouchDB, Data Diffusion Machine, Database-centric architecture, Distributed application, Distributed data flow, Distributed database, Distributed design patterns, Distributed Interactive Simulation, Distributed lock manager, Distributed memory, Distributed object, Distributed shared memory, Distributed social network, Dryad (programming), Dynamic infrastructure, Edge computing, Explicit multi-threading, Fabric computing, Fallacies of Distributed Computing, Fragmented object, Gemstone (database), HyperText Computer, High level architecture (simulation), IBZL, Kayou, Live distributed object, Master/slave (technology), Membase, Message consumer, Message passing, Messaging pattern, Mobile agent, MongoDB, Multi-master replication, Multitier architecture, Network cloaking, Opaak, Open architecture computing environment, Open Computer Forensics Architecture, OrientDB, Overlay network, Paradiseo, Parasitic computing, PlanetSim, Portable object (computing), Redis (data store), Remote Component Environment, Request Based Distributed Computing, RM-ODP, Semantic Web Data Space, Service-oriented distributed applications, Shared memory, Smart variables, Stub (distributed computing), Supercomputer, Terrastore, Transparency (human-computer interaction), TreadMarks, Tuple space, Utility computing, Virtual Machine Interface, Virtual Object System, Volunteer computing...and Much, Much More!

This book explains in-depth the real drivers and workings of MapReduce. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of MapReduce with the objectivity of experienced professionals  - Grab your copy now, while you still can.

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