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Data warehouse software
Why data silos matter: Settling ownership of data issues
Data ownership is still seen as a task for IT -- but that can lead to data silos full of redundant information. Find out why you should put the business in charge of its data. Continue Reading
Dimension tables vs. fact tables: What's the difference?
Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data. Continue Reading
Operational data store vs. data warehouse: How do they differ?
Operational data stores and data warehouses both store operational data, but the similarities between them end there -- and they both have a role to play in analytics architectures. Continue Reading
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Imhoff: Data warehouse architecture must go beyond the traditional
In a video interview, consultant Claudia Imhoff discusses the increasing need to augment data warehouses with technologies such as Hadoop and real-time analytics systems. Continue Reading
Big data, fast: Avoiding Hadoop performance bottlenecks
A variety of performance issues can bog down Hadoop clusters. But there are ways to sidestep the pitfalls and keep your big data environment humming. Continue Reading
Database administration best practice: Balance DBA team skills
Balancing development and operations skills is a first step to achieving database administration best practices in-house.Continue Reading
Hadoop helps bring big data into a data warehouse environment
Hadoop emerged primarily to handle unstructured big data. Now it can help IT teams looking to efficiently mix big data systems and data warehouses.Continue Reading
Data warehousing architecture takes logical turn in big data era
To make the most of different data assets, analysts say data warehouses and big data systems should be blended into logical or hybrid architectures.Continue Reading
Why IT departments should consider a large data warehouse system
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.Continue Reading
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 from our data warehousing expert.Continue Reading
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How semantic modeling will change data modeling in the future
Find out how semantic modeling is changing data modeling and what the future holds for the use of semantic technologies in data modeling.Continue Reading
The state of enterprise information management 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.Continue Reading
The best way to begin an enterprise information management program
Get expert advice on launching an enterprise information management program and creating an EIM strategy.Continue Reading
Common enterprise information management strategy mistakes to avoid
Learn about four common mistakes that companies make when creating an enterprise information management strategy and starting an EIM program.Continue Reading
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.Continue Reading