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The analytical advantages of an enterprise data warehouse system
Learn about the potential benefits of an enterprise data warehouse system for analytics uses. Also, find out about the data security issues and cost considerations of large data warehouses. Book Excerpt
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'Big data' applications bring new database choices, challenges
The dormitory world of databases has been roused from slumber by “big data” and associated technologies: MapReduce, Hadoop, MPP, NoSQL. Andy Hayler details big data’s impact and the issues it raises. Column
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Standardizing transactional database systems boosts BI, lowers costs
Consultant and professor Mark Whitehorn argues the case for database standardization, saying it can aid business intelligence efforts and reduce database maintenance and licensing expenses. Opinion
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Trends in entity resolution research and applications
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Entity resolution trends: Identity resolution in information hubs
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Dealing with association analysis, unstructured data in ER processes
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Integrating information quality and entity resolution
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Using the genetic programming approach to entity resolution
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Limitations of entity relationship models in data modeling
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Developing high-quality data models
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- See More: Essential Knowledge on Enterprise data architecture best practices
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Exploiting the power of a large enterprise data warehouse
Learn how to take advantage of a large enterprise data warehouse in this book excerpt. And find out how the proliferation of data sources, data volumes and queries affects data warehouse performance. Book excerpt | 02 May 2012
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Data warehousing appliance business case must trump traditional tools
Justifying purchases of data warehouse appliances starts with showing that they're a better business fit than conventional systems are, analysts say. News | 16 Apr 2012
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'Big data' breathes new life into CEP software
Complex event processing (CEP) technology is poised to move from the backwaters of data management to center stage, says TechTarget's Wayne Eckerson. The primary driver? "Big data." Analysis | 26 Mar 2012
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'Big data,' yes -- but enterprise data warehouse not dead yet
As "big data" systems steal into organizations, the enterprise data warehouse is often depicted as a dinosaur. But it may not be doomed to extinction. News | 19 Mar 2012
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'Big data' management debate: Buy tools now or fix data issues first?
Consultants and IT pros weigh in on whether users should invest in "big data" technologies or wait until they upgrade their data management processes. News | 16 Mar 2012
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TDWI Solution Summit: Business users increasingly driving MDM projects
Attendees and speakers at a TDWI event in Savannah, Ga., said that more business execs are pushing for master data management, even if they don’t realize that MDM is what they want. Conference Coverage | 09 Mar 2012
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'Big data' management changing the face of data warehousing
Gartner says the onslaught of “big data” is turning data warehouses into distributed data processing platforms. But Hadoop and other big data tools aren’t as widespread as you might think -- yet. From the Editors | 29 Feb 2012
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Hadoop connector software hitches DBs to 'big data' clusters
Various software vendors have begun offering connectors designed to help users bridge the gap between Hadoop clusters and relational databases. News | 29 Feb 2012
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Categorizing 'big data' processing systems
In the past, analytics applications typically were powered by relational databases. Now the options are more varied and less straightforward, says TechTarget's Wayne Eckerson. Analysis | 27 Feb 2012
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Gartner Magic Quadrant names Teradata the top data warehouse vendor
Teradata is the overall leader among data warehouse software vendors, followed by Oracle, IBM and three others, says a Gartner Magic Quadrant report. News | 15 Feb 2012
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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. Book excerpt
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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 business terms, concepts and fact types in relation to his ... Tip
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XQuery and XML data: DB2 helps manage the era of unstructured data
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 twenty years ago. Tip
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Is your cabling ruining your efficiency?
Cables degrade over time. Discover what you can do so won't steam up or error out. Tip
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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 from our data warehousing expert. Answer
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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. Answer
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Role of a data architect in making data management project decisions
Learn about the roles of data architects when it comes to making data management project decisions. Answer
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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. Answer
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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. Answer
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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. Answer
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Overview of RDBMS security concepts in client/server architectures
Find an overview of RDBMS security concepts in client/server architectures. Learn about the security role of a database engine and why a relational DBMS should control data access. Answer
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How database performance tuning and data migration affect databases
Find out how database performance tuning and data migration to a new database engine affect database performance. Learn about indexing columns and partitioning tables. Answer
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What is the difference between data definition language (DDL) and SQL?
Learn the difference between a data definition language (DDL), also known as data descriptive language, and the Structured Query Language (SQL). Find examples of both DDL and SQL. Answer
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The truth about retail data modeling software
Find out if there are any high-quality retail data modeling software tools and if general-purpose tools in the data modeling market can help with retail data model projects. Answer
- See More: Expert Advice on Enterprise data architecture best practices
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Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to Hewlett-Packard giving Neoview the ax, and more, there were plenty of notable data management stories in 2011. Photo Story
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Sacred cows of using data warehouse software – and how to tip them
In a video interview, consultant Evan Levy discusses what he calls the sacred cows of data warehousing and explains why such beliefs should be challenged within organizations. Video
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Sacred cows of using data warehouse software – and how to tip them
In a video interview, consultant Evan Levy discusses what he calls the sacred cows of data warehousing and explains why such beliefs should be challenged within organizations. Video
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Real-world tips for improving BI performance, data warehousing systems
Get real-world tips and techniques for improving BI performance and data warehousing systems. Learn how in-database, in-memory analytics & data virtualization affects performance. Podcast
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Data warehouse architecture: Beyond hub-and-spoke
Hear a hub-and-spoke definition and learn about challenges surrounding hub-and-spoke architecture. Know all the issues and details before implementing a hub-and-spoke design and hear how data governance plays a role in the hub-and-spoke model. Podcast
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The analytical advantages of an enterprise data warehouse system
Learn about the potential benefits of an enterprise data warehouse system for analytics uses. Also, find out about the data security issues and cost considerations of large data warehouses. Book Excerpt
-
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. Book excerpt
-
Exploiting the power of a large enterprise data warehouse
Learn how to take advantage of a large enterprise data warehouse in this book excerpt. And find out how the proliferation of data sources, data volumes and queries affects data warehouse performance. Book excerpt
-
'Big data' applications bring new database choices, challenges
The dormitory world of databases has been roused from slumber by “big data” and associated technologies: MapReduce, Hadoop, MPP, NoSQL. Andy Hayler details big data’s impact and the issues it raises. Column
-
Standardizing transactional database systems boosts BI, lowers costs
Consultant and professor Mark Whitehorn argues the case for database standardization, saying it can aid business intelligence efforts and reduce database maintenance and licensing expenses. Opinion
-
Data warehousing appliance business case must trump traditional tools
Justifying purchases of data warehouse appliances starts with showing that they're a better business fit than conventional systems are, analysts say. News
-
'Big data' breathes new life into CEP software
Complex event processing (CEP) technology is poised to move from the backwaters of data management to center stage, says TechTarget's Wayne Eckerson. The primary driver? "Big data." Analysis
-
'Big data,' yes -- but enterprise data warehouse not dead yet
As "big data" systems steal into organizations, the enterprise data warehouse is often depicted as a dinosaur. But it may not be doomed to extinction. News
-
'Big data' management debate: Buy tools now or fix data issues first?
Consultants and IT pros weigh in on whether users should invest in "big data" technologies or wait until they upgrade their data management processes. News
-
TDWI Solution Summit: Business users increasingly driving MDM projects
Attendees and speakers at a TDWI event in Savannah, Ga., said that more business execs are pushing for master data management, even if they don’t realize that MDM is what they want. Conference Coverage
- See More: All on Enterprise data architecture best practices
About Enterprise data architecture best practices
Data management professionals know the importance of data architecture to enterprise applications and other systems. Find resources here for data architecture management and best practices for data architecture projects, including articles, templates and exclusive expert advice. You'll also learn about related disciplines such as data warehouse design and business intelligence.
Data Management Strategies for the CIO