About the Book
Master Data Management (MDM) comprises a set of processes and tools that consistently defines and manages the non-transactional data entities of an organization (which may include reference data). MDM has the objective of providing processes for collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure consistency and control in the ongoing maintenance and application use of this information.This book is your ultimate resource for Master Data Management (MDM). Here you will find the most up-to-date information, analysis, background and everything you need to know.
In easy to read chapters, with extensive references and links to get you to know all there is to know about Master Data Management (MDM) right away, covering: Master data management, Database management system, Comparison of database tools, Comparison of object-relational database management systems, ACID, ANSI-SPARC Architecture, Armstrong's axioms, Associative model of data, AutoNumber, Bidirectionalization, Big data, Bitemporal data, Block contention, Candidate key, Citrusleaf database, Column-oriented DBMS, Commit (data management), Comparison of relational database management systems, Connection pool, Correlation database, Create, read, update and delete, Cursor (databases), Data Control Language, Data Definition Language, Data Manipulation Language, Data mart, Data masking, Data redundancy, Data retrieval, Data store, Database, Database administration and automation, Database design, Database dump, Database engine, Database model, Database normalization, Database storage structures, Database system, Database theory, Database transaction, Database trigger, Database tuning, Datasource, Deductive database, Distributed database management system, Document-oriented database, Enterprise database management, Expression index, Federated database system, Foreign key, Formatted File System, Heterogeneous Database System, Hierarchical query, In-database processing, In-memory database, Index (database), InfinityDB, Integrated Data Management, ISBL, Least number bits, Life cycle of a relational database, List of object database management systems, List of relational database management systems, Mariposa (database), Metadatabase, Microsoft Access, MultiValue, Nested SQL, No-force, Object database, Object Exchange Model, Object-based spatial database, Object-relational database, Online transaction processing, Oracle Database, Oracle Exadata, Partial index, Partition (database), Polyinstantiation, Pool (computer science), Precedence graph, Probabilistic database, QUEL query languages, Query language, Query optimization, Query optimizer, Query plan, Quorum (distributed computing), Referential integrity, Materialized view, Relation (database), Synonym (database), Relational algebra, Relational calculus, Relational database, Relational database management system, Relational model, Remote Database Access, Resources, Events, Agents, Rollback (data management), Sargable, Secondary database server, Shard (database architecture), Shared read lock, Smart variables, Spatiotemporal database, SQL, Microsoft SQL Server, SQL Server Agent, Stored procedure, Superkey, Surrogate key, Table (database), Tablespace, Temporal database, The Third Manifesto, Transaction Control Language, Transaction log, Transaction processing, Transaction time, Transactions per second, Triplestore, TurboIMAGE, Types of DBMS, Unique key, V-optimal histograms, Valid time, View (database), Visual FoxPro, XBase, XML database, Abstraction (computer science), ADO.NET, ADO.NET data provider, WCF Data Services...and much more.
This book explains in-depth the real drivers and workings of Master Data Management (MDM). It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Master Data Management (MDM) with the objectivity of experienced professionals.
