By Sid Adelman
The definitive best-practices advisor to company data-management strategy.You can now not deal with company facts "piecemeal. to maximise the enterprise worth of your info resources, you need to outline a coherent, enterprise-wide facts process that displays all of the methods you catch, shop, deal with, and use information.In this ebook, 3 popular info administration specialists stroll you thru developing the optimum info process on your association. utilizing their confirmed innovations, you could decrease and upkeep charges, and rein in out-of-control info spending. you could construct new platforms with much less threat, greater caliber, and enhance information entry. better of all, you could how you can combine new functions that aid your key enterprise objectives.Drawing on actual company case stories and confirmed most sensible practices, the writer workforce covers every thing from goal-setting via handling defense and function. you will how to: * establish the genuine dangers and bottlenecks you face in providing data-and the ideal strategies * combine company information and increase its caliber, so it may be used extra largely and successfully * Systematically safe firm facts and safeguard consumer privateness * version information extra successfully and take complete good thing about metadata * pick out the DBMS and knowledge garage items that healthy top into your total plan * easily accommodate new company Intelligence (BI) and unstructured information purposes * increase the functionality of what you are promoting database functions * Revamp your company to streamline day by day info administration and decrease price * facts technique is essential for everybody who must deal with firm info extra efficiently-from database architects to DBAs, technical employees to senior IT decision-makers.
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42 43 The federated approach is not mutually exclusive with consolidation or integration. If the data is infrequently accessed, federation makes more sense because you don't have to pay for the effort of migrating this occasionally accessed data and changing all the programs affected by the migration. 5. 5. Data Integration CMM Levels Level 1 Limited data federation; often with redundant and inconsistent data. Limited data consolidation; documenting redundancies and inconsistencies. Data integration initiated; new "disintegration" is discouraged.
The commitment to enterprise-wide data integration is usually found in organizations with a higher level of data management maturity than organizations that stop with data consolidation or data federation. Data Consolidation Many people confuse data integration with data consolidation. Consolidating data simply means gathering data elements that describe the same business entity (such as CUSTOMER) from multiple source databases and storing them in one database. Enterprise information integration (EII) tools, EAI products, and other messaging middleware can be used instead of, or in addition to, ETL tools to accomplish this data migration.
This is equivalent to saying that every record must have a unique primary key. ♦ In addition to being unique, the identifier must always be known. This is equivalent to saying that a primary key can never be NULL. ♦ Rule number three applies only to composite or concatenated keys. A composite key is a unique identifier that consists of more than one business attribute. This is equivalent to saying that a primary key is made up of several columns. The rule states that a unique identifier must be minimal.