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Books > Computing & IT > Applications of computing > Databases
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Big Data Application Architecture Q&A - A Problem - Solution Approach (Paperback, 1st ed.)
Loot Price: R1,702
Discovery Miles 17 020
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Big Data Application Architecture Q&A - A Problem - Solution Approach (Paperback, 1st ed.)
Expected to ship within 18 - 22 working days
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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 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 attain 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 real--time
and across multiple relational and non-relational 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
trade-offs and validation of 'fitness-for-purpose' of the solution.
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 and
end-to-end big data solution? * Does one really need a real-time
big data solution or an off-line analytics batch solution? * What
are the operations and support architectures for a big data
solution? * What are the scalability considerations, and options
for a Hadoop installation?Who this book is for * CIOs, CTOs,
enterprise architects, and software architects * Consultants,
solution architects, and information management (IM) analysts who
want to architect a big data solution for their enterprise
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