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001 978-3-642-55270-0
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008 140528s2014 gw | s |||| 0|eng d
020 _a9783642552700
_9978-3-642-55270-0
024 7 _a10.1007/978-3-642-55270-0
_2doi
050 4 _aHF54.5-54.56
072 7 _aKJQ
_2bicssc
072 7 _aUF
_2bicssc
072 7 _aBUS083000
_2bisacsh
072 7 _aCOM039000
_2bisacsh
082 0 4 _a650
_223
082 0 4 _a658.05
_223
100 1 _aPlattner, Hasso.
_eauthor.
245 1 2 _aA Course in In-Memory Data Management
_h[electronic resource] :
_bThe Inner Mechanics of In-Memory Databases /
_cby Hasso Plattner.
250 _a2nd ed. 2014.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXXIII, 312 p. 125 illus., 62 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Part I: The Future of Enterprise Computing -- Part II: Foundations of Database Storage Techniques -- Part III: In-Memory Database Operators -- Part IV: Advanced Database Storage Techniques -- Part V: Principles for Enterprise Application Development -- Self Test Solutions.
520 _aRecent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of enterprise data. Professor Hasso Plattner and his research group at the Hasso Plattner Institute in Potsdam, Germany, have been investigating and teaching the corresponding concepts and their adoption in the software industry for years. This book is based on an online course that was first launched in autumn 2012 with more than 13,000 enrolled students and marked the successful starting point of the openHPI e-learning platform. The course is mainly designed for students of computer science, software engineering, and IT related subjects, but addresses business experts, software developers, technology experts, and IT analysts alike. Plattner and his group focus on exploring the inner mechanics of a column-oriented dictionary-encoded in-memory database. Covered topics include - amongst others - physical data storage and access, basic database operators, compression mechanisms, and parallel join algorithms. Beyond that, implications for future enterprise applications and their development are discussed. Step by step, readers will understand the radical differences and advantages of the new technology over traditional row-oriented, disk-based databases. In this completely revised 2nd edition, we incorporate the feedback of thousands of course participants on openHPI and take into account latest advancements in hard- and software. Improved figures, explanations, and examples further ease the understanding of the concepts presented. We introduce advanced data management techniques such as transparent aggregate caches and provide new showcases that demonstrate the potential of in-memory databases for two diverse industries: retail and life sciences.
650 0 _aBusiness.
650 0 _aInformation technology.
650 0 _aBusiness
_xData processing.
650 0 _aDatabase management.
650 0 _aData mining.
650 1 4 _aBusiness and Management.
650 2 4 _aIT in Business.
650 2 4 _aDatabase Management.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aInformation Systems Applications (incl. Internet).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642552694
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-55270-0
912 _aZDB-2-SBE
942 _cEBK
999 _c50903
_d50903