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Big Data Application Architecture Q&A: A Problem Solution Approach (Expert's Voice in Big Data),Used
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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 problemsolution 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 attain realtime profits.Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best endtoend 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 nonrelational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application.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 and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of tradeoffs and validation of 'fitnessforpurpose' of the solution.
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