000 04117nam a22004935i 4500
001 978-3-642-36524-9
003 DE-He213
005 20140220082904.0
007 cr nn 008mamaa
008 130423s2013 gw | s |||| 0|eng d
020 _a9783642365249
_9978-3-642-36524-9
024 7 _a10.1007/978-3-642-36524-9
_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
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.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXXIII, 297 p. 110 illus., 2 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 -- The Future of Enterprise Computing: New Requirements for Enterprise Computing -- Enterprise Application Characteristics -- Changes in Hardware -- A Blueprint of SanssouciDB -- Foundations of Database Storage Techniques: Dictionary Encoding -- Compression -- Data Layout in Main Memory -- Partitioning -- In-Memory Database Operators: Delete.-  Insert -- Update.- Tuple Reconstruction -- Scan Performance -- Select -- Materialization Strategies.- Parallel Data Processing -- Indices -- Join -- Aggregate Functions -- Parallel Select -- Workload Management and Scheduling -- Parallel Join -- Parallel Aggregation -- Advanced Database Storage Techniques: Differential Buffer -- Insert- Only -- The Merge Process -- Logging -- Recovery -- On-the-fly Database Reorganization -- Foundations for a New Enterprise Application Development Era: Implications on Application Development -- Database Views -- Handling Business Objects -- Bypass Solution -- Self Test Solution.
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 the first online course on the openHPI e-learning platform, which was launched in autumn 2012 with more than 13,000 learners. The book is designed for students of computer science, software engineering, and IT related subjects. However, it addresses business experts, decision makers, 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. Readers are lead to understand the radical differences and advantages of the new technology over traditional row-oriented disk-based databases.
650 0 _aEconomics.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aManagement information systems.
650 1 4 _aEconomics/Management Science.
650 2 4 _aBusiness Information Systems.
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:
_z9783642365232
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-36524-9
912 _aZDB-2-SBE
999 _c97892
_d97892