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The North End Elderly Health Facility Project: An Urban Development Action Grant Application

The North End Elderly Health Facility Project: An Urban Development Action Grant Application


This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.
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Big Data Application Architecture Pattern Recipes: A Problem-solution Approach to Get an Answer to the Most Important Question..how to Select the Best End-to-end Architecture to Solve Your Big Data Pro

Big Data Application Architecture Pattern Recipes: A Problem-solution Approach to Get an Answer to the Most Important Question..how to Select the Best End-to-end Architecture to Solve Your Big Data Pro


Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to gain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time ‘how do you select the best end-to-end architecture to solve your big data problem?’. The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in realtime and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of ‘fitness-for-purpose’ of the solution. The patterns in this book can provide the strong architecture foundation required to launch your next big data application. What you’ll learn Major considerations in building a big data solution Big data application architectures problems for specific industries What are the components one needs to build andend-to-end big data solution? Does one really need a real-time big data solution or an off-line analytics batch solution? What is the operations, and support architecture for

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