Home > Data Quality, Data Warehousing and Data Integration Info Center

Data Quality, Data Warehousing and Data Integration Info Center EMAIL THIS Expert tips, articles, industry news, best practices and information on Data Quality, Data Warehousing, and Data Integration. Content within this InfoCenter covers sub-topics such as Data Governance, Data Stewardship, Data Modeling, Enterprise DBMS Management, and more. IBM DB2 from SearchDataManagement.com IBM DB2 9 Fundamentals certification (Exam 730): Sample questions about tables, Part 7 STUDY GUIDE - Trying to pass the IBM DB2 9 certification exam? Answer these sample questions about tables, taken from the real exam study guide, to get a step ahead. IBM DB2 9 Fundamentals certification (Exam 730): Sample questions about tables, Part 6 STUDY GUIDE - Test your DB2 9 competency by answering 10 sample questions about tables from the IBM DB2 9 Fundamentals certification exam. IBM DB2 9 Fundamentals certification (Exam 730): Sample questions about tables, Part 5 STUDY GUIDE - Test your DB2 9 competency by answering 10 sample questions about tables from the IBM DB2 9 Fundamentals certification exam. VIEW ALL IN THIS TOPIC ENTERPRISE DATA INTEGRATION (EDI) from SearchDataManagement.com ETL tools defined EXPERT RESPONSE - ETL tools offer functionality to extract, transform and load data from one system into another system, but our expert advises they're not optimal for application-to-application communication. Enterprise architecture components BOOK CHAPTER - Seventeen components of an enterprise architecture are classified and described in this chapter download. Is data integration the Achilles heel of Software as a Service? TIP - Software as a Service applications can create serious enterprise data integration challenges. Expert Rick Sherman discusses the problem and potential solutions. VIEW ALL IN THIS TOPIC DATA STEWARDSHIP from SearchDataManagement.com Creating successful data stewardship programs, with Jill Dyché PODCAST - Learn how data stewardship fits into data governance and data quality management programs, from Jill Dyché. Data governance success: No pain, no gain TIP - Data governance isn't easy, but it is necessary for success in data-centric projects. Rick Sherman commiserates and offers expert advice for getting started with data governance. Data governance committee project pays off for Blue Cross ARTICLE - Blue Cross and Blue Shield of Kansas City turned to data governance and business knowledge stewards to improve customer data. VIEW ALL IN THIS TOPIC DATA MODELING from SearchDataManagement.com Data architect vs. application architect: Segregate the duties EXPERT RESPONSE - Find out the duties of data architects and application architects -- and why they should not overlap, according to a data modeling expert. Enterprise versus project level conceptual data modeling EXPERT RESPONSE - Learn the differences between enterprise level and project level conceptual data modeling, and find out how both approaches are compatible. XML schema definition versus conceptual data model EXPERT RESPONSE - Learn the differences between XML schema definition (XSD) and a conceptual data model (CDM) -- and the basic functions of each. VIEW ALL IN THIS TOPIC

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