About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 268. Chapters: Copyright, Data warehouse, Data storage device, Learning object, Abstraction, Distributed database, Enterprise Objects Framework, Automatic data processing, Automatic data processing equipment, Wiping, Tuple, Data bank, Business intelligence, Open Database Connectivity, Commitment ordering, The History of Commitment Ordering, Serializability, National Data Repository, Global serializability, Metadata, Data center, Concurrency control, Data Validation and Reconciliation, Association rule learning, SQL injection, Data deduplication, Mobile business intelligence, Bitmap index, Data integration, Learning object metadata, Online analytical processing, Computer-aided software engineering, Photo recovery, Master data management, Single source publishing, Comparison of OLAP Servers, Schedule, Record linkage, Guardium, an IBM Company, Two-phase commit protocol, Isolation, Data visualization, NoSQL, Integration Competency Center, Parchive, Data recovery, Storage area network, Disaster recovery, BBC Archives, Data governance, Synthetic data, IMS VDEX, British Oceanographic Data Centre, Core Data, Change data capture, Flat file database, Data architecture, Geospatial metadata, Lean Integration, Data Transformation Services, Data migration, Microsoft Office PerformancePoint Server, ROOT, Holos, Universal Data Element Framework, Content inventory, Inverted index, Database administration and automation, Hierarchical classifier, XML database, Database transaction, Holistic Data Management, Dimensional Fact Model, Government Performance Management, Business Intelligence Project Planning, Schema crosswalk, VMDS, Rainbow Storage, Grid-oriented storage, Data profiling, Database schema, Document-oriented database, Content management, Mirror, PureXML, Content Migration, Chunked transfer encoding, Three-phase commit protocol, Data set, E...
