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Data Management Channel

Data Management is an overarching term that refers to all aspects of creating, housing, delivering, maintaining and retiring data that today adds the new contexts of compliance and the goal of managing data as a corporate asset. Data management typically addresses the creation of data architecture and is inclusive of the infrastructure, personnel, processes and other requirements for identifying, consolidating and optimizing data assets for efficiency and usefulness. Increasingly, data management falls under the rubric of data governance, a structured and role-oriented methodology for delivering dependable data assets for business decision support.

Articles

How Program Lifecycle Management will Transform IT

Program lifecycle management represents a deliberate attempt to reconcile and combine multiple lifecycle management tasks within a single, unified approach

Does BI Have to be Extroverted, Introverted or Both?

BI must assist the consumers, businesses, employees and decision-makers inside and outside organizational walls. Rich Internet applications are the key to doing this well.

Achieving Financial Reporting Transparency with XBRL

The use of XBRL provides organizations with an efficient and effective means to extract, analyze, share and report financial information.

Recognizing the Most Important Component of a Data Center Build

The physical layer remains the core infrastructure “plumbing” on which a data center is built.

Who Needs Science?

Chris Anderson’s latest thesis argues that huge volumes of data provide their own answers even if there is no hypothesis in search of validation

More Articles

Columns

Time and Time Again: The Origins of Asserted Versioning

In this column, we discuss the origins of asserted versioning, an approach to temporal data management that has roots in both computer science research and IT data management practice.

Time and Time Again: The Importance of Bi-Temporal Data Management

To emphasize the relevance of our discussions to real-world data management issues, we will consider four hypothetical questions, asked by a client on the telephone with an insurance company's customer service representative.

Master Data Management and Deduplication: Finessing the Management of Data

Although the cost of storage devices has plummeted over the last few years, the cost of managing stored data continues to grow.

Surfing the Automation Wave with Pervasive BI

A wave by any other name can still lift your boat, or capsize it. The key is balance: lean too far in any direction, and say hello to the undertow.

Data Archiving - A Quiet Market Reaches Take-off Velocity

Data archiving is a quiet market with significant potential. Given the growth in data volumes and intolerance for response time delays, interest in the capabilities of archiving, retention and restore software is reaching take-off speed.

More Columns

Ask the Experts

Apart from bloated dimension, what are the negatives of using all known attributes in your SCD?

Which CDC method is the best to achieve staging database with changed data?

Do you think a company is inefficient if they have more than 20 KPIs?

When do you use a star schema and when to use a snowflake schema?

What are the pros and cons of including non-foreign key attributes in fact tables that are not metrics?

More Ask the Experts

White Papers

Pragmatic Approach to Compliance Data Collation

Informatica - Handling Variable Length Files Using XML

By Arvind Kumar

Putting Metadata to Work to Achieve the Goals of Data Governance

By Informatica

Enterprise Information Management - Insights and Strategies into the Direction of EIM

By DataAgility

Automated Analysis Technology

More White Papers

Books

Data Management: Databases and Organizations, 3rd Edition

By Richard T. Watson

Data Modeler's Workbench: Tools and Techniques for Analysis and Design

By Steve Hoberman

Effective Databases for Text & Document Management

By Shirley A. Becker
More Books



Industry Vendors