000 02995nam a22003975i 4500
001 978-1-4302-6293-0
003 DE-He213
005 20140220082802.0
007 cr nn 008mamaa
008 140124s2013 xxu| s |||| 0|eng d
020 _a9781430262930
_9978-1-4302-6293-0
024 7 _a10.1007/978-1-4302-6293-0
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aCOM014000
_2bisacsh
082 0 4 _a004
_223
100 1 _aSawant, Nitin.
_eauthor.
245 1 0 _aBig Data Application Architecture Q & A
_h[electronic resource] :
_bA Problem-Solution Approach /
_cby Nitin Sawant, Himanshu Shah.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2013.
300 _aXXI, 172 p. 92 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aBig 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.
650 0 _aComputer science.
650 1 4 _aComputer Science.
650 2 4 _aComputer Science, general.
700 1 _aShah, Himanshu.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781430262923
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4302-6293-0
912 _aZDB-2-CWD
999 _c94412
_d94412