While data integration can help drive revenue growth by providing a more transparent view of critical business data, establishing a consistent, enterprise-wide approach to data integration can be challenging.
Data integration today consists of much more than simple extract, transform, and load (ETL) processes; it now involves a wide range of tools and methodologies to support real-time integration as well as traditional batch-oriented approaches.
Check out this expert e-guide for an overview of the current trends and technologies that are re-shaping data integration strategies at leading companies today. Benefit from the following must-read articles:
- More Data, More Tools Bedevil the Data Integration Process
- Companies Choosing Real-Time Data Integration Over Batch-Oriented Techniques
- Data Integration Requires a Diverse Approach
- Business Users Can No Longer Ignore the Integration Demands of SaaS