Data warehousing

Sybase: Data warehousing too slow for ‘big data’ analytics

Sybase EMEA business development director speaks about ‘big data’ analytics’ need for speed and pronounces traditional data warehousing “antiquated.” Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

Royal Mail delivers enterprise master data management

The Royal Mail has delivered a master data management programme stemming from a new electronic data warehouse and BI initiative. Project team leaders claim a people-plus-technology synthesis. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

BBC evolves digital asset management with Life

The BBC’s Life series marked an ongoing shift from film to digital media that is making the need for rigorous metadata and digital asset management in broadcast media more pressing. Continue Reading

By

• Brian McKenna, Enterprise Applications Editor

Round table: the value of big data

Learn what our round table of experts thinks of the value and significance of “big data.” Continue Reading

By

• SearchDataManagement.co.UK Round table

IT in Europe e-zine: Data Management & BI Edition

The benefits of effective data management and business intelligence are many; so are the challenges. Get practical information and advice on data management & BI strategies in the IT in Europe ezine. Continue Reading

By

• SearchDataManagement.co.UK staff

6 data warehouse design mistakes to avoid

Although difficult, flawless data warehouse design is a must for a successful BI system. Avoid these six mistakes to make your data warehouse perfect. Continue Reading

By

• Amit Agarwal

Teradata data warehouse joins SSD technology to HDDs, virtual storage

At Teradata Universe in Barcelona, the company announced the Active EDW 6680, a data warehouse system that mixes SSD technology, hard disks and storage virtualization software. Continue Reading

By

• Mark Whitehorn, University of Dundee

When data goes bad: how data quality analysis can fix problems

How can data quality be improved for business benefit? Data quality is complex, and thrown into relief by the pressing requirement for analysis. Learn how to clean it up through data quality analysis. Continue Reading

By

• Mark Whitehorn, University of Dundee

ETL tool buying guide

While procuring an extract, transform, and load (ETL) tool, your considerations should range from data formats, profiling, data quality to meta data support and more. Continue Reading

By

• Dr. Pramod Singh