Data Management Strategies for the CIO-
Understanding the latest data integration strategies an
Learn about new data integration strategies and technologies that can improve data integration for enterprise IT and departmental data in your organization.
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Understanding key data integration trends and business
New data integration trends are shaping integration projects at many organizations. Find out about important data integration business drivers in this article by Rick Sherman.
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Data quality management tips and best practices
Get data quality management tips and best practices with expert advice and book excerpts. Learn about academic sources for data quality, key steps and common mistakes of data quality implementation...
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A guide to improving data quality
Many organizations may be tempted to forgo data quality management to save money, but it's important to assess the ROI of high-quality data, according to consultant David Loshin.
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I've been a good data warehouse manager, Santa
Even data warehouse managers make holiday wishlists. Expert Rick Sherman shares a letter to Santa, with data warehouse-oriented wishes, hopes and desires for the coming year.
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Data governance success: No pain, no gain
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.
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Data warehousing appliances: Are they market breakers?
Data warehousing (DW) appliances are being touted as potential market-changing technology by technology and financial analysts alike.
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Is data integration the Achilles heel of SaaS?
Software as a Service applications can create serious enterprise data integration challenges. Expert Rick Sherman discusses the problem and potential solutions.
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Enterprise data integration software: EDI definitions y
Get concise definitions of enterprise data integration (EDI) software terms -- including customer data integration (CDI), enterprise information integration (EII), enterprise application integratio...
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Five steps for weaving data quality management into you
Data quality management is critical for effective enterprise data integration (EDI). Expert Rick Sherman shares five strategic steps (and potential pitfalls) of data quality management.
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Data quality management: Follow the doctor's orders
Get expert recommendations for data quality management in business intelligence and data warehousing projects.
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Why data governance projects fail
Expert Rick Sherman discloses the top reasons why 90% of data governance projects are doomed for failure. Read his advice to make sure that your projects are not!
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Data and the enterprise architecture framework
Using a detailed data model, Hay discusses data and the enterprise architecture framework with a focus on the business owner, architect, designer and the functioning system. He also examines busine...
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How to define business requirements for data warehousin
Using the Business Requirements Definition, the authors define the process of gathering business requirements, which begins with interviewing IT and business professionals, in order to organize and...
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Keep end-user storage under control
With free email services offering up to 2 GB of storage, it's tough to convince corporate email users that mailbox limits are needed. But companies are realizing that user storage quotas are a nece...
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Top 10 IBM iSeries DB2 questions
IBM iSeries/i5 DB2 invokes alot of questions. Here, find the top ten iSeries questions that have been answered by our IBM iSeries/i5 DB2 UDB expert, Kent Milligan.
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EDA software: Event-driven architecture and DB2
Oracle is now coming out with an event-driven architecture based on the EDA's ability to communicate between software and support business rules. How could DB2 help users to achieve the full benef...
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XQuery and XML data: DB2 helps manage the era of unstru
The arrival of IBM XQuery and XML data is simplifying users' decisions in this era of unstructured data, just as the arrival of the relational database and SQL simplified IT buyers' decisions twent...
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"Low IT" databases: DB2 for the low IT user
Wayne Kernochan examines the "Low-IT" database needs of what he terms "Low-IT" users, as well as how IBM's DB2 Express is proving itself to be a highly useful alternative in the Low-IT market.
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Rogue data management
Every company or organization has some of its key data assets managed outside of its business systems. While most companies are permeated with "rogue data", this type data is often difficult to fin...
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Five steps to improvements in data quality
Consultant David Loshin offers tips on developing a data quality strategy that can help identify data errors before they cause big business problems.
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Tips on mixing Hadoop, big data and data warehouses
Hadoop emerged primarily to handle unstructured big data. Now it can help IT teams looking to efficiently mix big data systems and data warehouses.
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Misconceptions hold back use of data integration tools
Integration software has matured in recent years, but consultant Rick Sherman writes that many IT managers aren't aware of the increased capabilities.
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Why IT departments should consider a large DW
Find out how a large data warehouse system can benefit companies. Learn how enterprise data warehouses help meet business needs. Get tips on operational considerations for a central data warehouse.