Data Management Strategies for the CIO-
The state of EIM technology use in 2011
Get expert insight on whether there likely will be any strategic shifts during 2011 in how companies use enterprise information management technology.
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Common EIM strategy mistakes to avoid
Learn about four common mistakes that companies make when creating an enterprise information management strategy and starting an EIM program.
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The best way to begin an EIM program
Get expert advice on launching an enterprise information management program and creating an EIM strategy.
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Emerging database technologies: Hadoop & MapReduce
Hadoop and MapReduce are two emerging database technologies. Find out how Hadoop and MapReduce compare and relate to each other.
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Six tips for improving data warehouse performance
Get six expert tips for improving data warehouse performance. Learn how database engines, SSDs and MOLAP cubes can affect your data warehouse performance.
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The rise of data warehouse appliances
DBMS and data warehouse trends in 2011 include the rise of data warehouse appliances, according to one expert. Learn why appliances and semi-structured data are getting increased attention.
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The benefits and drawbacks of analytical databases
Find out what the benefits and drawbacks of analytical databases are. See how an analytic database compares to an OLTP database and what each is best suited for.
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Implementing data quality tools but ignoring governance
Is it OK to implement data quality software but ignore your data governance policies? Learn more about the relationship between data quality software and governance processes.
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Open source tools to help with name matching
Learn what to consider before adopting open source data quality software to help with identity resolution and name matching.
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How to get senior execs to buy into data governance
Learn how to get senior management to buy into data governance. Get tips on selling data governance policies and processes to executives who can approve data governance programs.
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How often should you update your data quality strategy?
Learn how often companies should update their data quality strategy. See how changes in data quality problems create new challenges and how revising your data quality strategy can help.
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Data governance trends: Scorecards & governance tools
Learn about emerging data governance trends for 2011, including more use of data governance tools and data quality metrics and scorecards. Find out what’s useful and what’s not.
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What are the most common MDM project pitfalls to avoid?
Learn about the most common master data management (MDM) project pitfalls that companies run into. Get a list of the major problems that can hold back an MDM program.
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Launch data governance project without adopting MDM?
Is it a good idea to launch a data governance project without the help of a master data management (MDM) initiative? See what our MDM expert has to say about that.
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What’s the best way to conduct an MDM implementation?
Is it better for companies to go with an enterprise-wide master data management (MDM) implementation or deploy MDM departmentally? Find out which approach our MDM expert prefers.
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What ever happened to PIM and CDI software?
There’s a lot of talk about master data management but not so much about CDI and PIM. Find out what happened to those MDM-related technologies.
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Do you need to gather requirements for MDM projects?
Do you need to gather business requirements for an MDM project? Find out and learn how functional requirements are the key difference between the MDM and BI development processes.
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SaaS data integration challenges to keep an eye our for
With Software-as-a-Service (SaaS) applications growing in popularity, learn about the SaaS data integration challenges companies should be aware of before starting a SaaS project.
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How change data capture and data federation differ
Learn the difference between change data capture (CDC) and data federation. Find out how companies can use both data integration technologies to improve data warehouse systems.
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Are the data quality issues worse in real-time data integration apps?
Find out if real-time data integration applications has more data quality issues than other approaches. Also, see if real-time or near-real-time integration are really useful.
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Key issues to consider when building a data warehouse
There are numerous issues, both technical and cultural, that organizations need to consider before building a data warehouse. Learn what they are f...
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How semantic modeling will change data modeling
Find out how semantic modeling is changing data modeling and what the future holds for the use of semantic technologies in data modeling.
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Role of a data architect in making project decisions
Learn about the roles of data architects when it comes to making data management project decisions.
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