rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: Course in In-Memory Data Management
    sub title: The Inner Mechanics of In-Memory Databases
  name:
    name part: Plattner, Hasso.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIII, 297 p. online resource.
  abstract: Recent 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.
  table of contents: Introduction -- 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.
  note: by Hasso Plattner.
  subject:
    topic: Business
  subject:
    topic: Information technology
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Database management
  subject:
    topic: Data mining
  subject:
    topic: Business and Management
  subject:
    topic: IT in Business
  subject:
    topic: Database Management
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Information Systems Applications (incl. Internet)
  classification: HF54.5-54.56
  classification: 650
  classification: 658.05
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642365249
  identifier: http://dx.doi.org/10.1007/978-3-642-36524-9
  record info:
    record creation date: 130423
    record change date: 20151204171336.0
    record identifier: 978-3-642-36524-9