000 | 04160nam a22005295i 4500 | ||
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001 | 978-3-642-36524-9 | ||
003 | DE-He213 | ||
005 | 20200420211741.0 | ||
007 | cr nn 008mamaa | ||
008 | 130423s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642365249 _9978-3-642-36524-9 |
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024 | 7 |
_a10.1007/978-3-642-36524-9 _2doi |
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050 | 4 | _aHF54.5-54.56 | |
072 | 7 |
_aKJQ _2bicssc |
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_aBUS083000 _2bisacsh |
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_aCOM039000 _2bisacsh |
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082 | 0 | 4 |
_a650 _223 |
082 | 0 | 4 |
_a658.05 _223 |
100 | 1 |
_aPlattner, Hasso. _eauthor. |
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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. |
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300 |
_aXXIII, 297 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 | _aBusiness. | |
650 | 0 | _aInformation technology. | |
650 | 0 |
_aBusiness _xData processing. |
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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: _z9783642365232 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-36524-9 |
912 | _aZDB-2-SBE | ||
942 | _cEBK | ||
999 |
_c50686 _d50686 |