Home / Perspectives / The Roles of ETL, ESB, and Data Virtualization Technologies in Integration Landscapes The problem of data silos, which are data sources that are unable to easily share data from one to the other, has plagued the IT landscape for many years, and continues to do so today, despite the advents of broadband Internet, gigabit networking, and cloud-based storage. The problem with data siloes is that no one can run a query across them; they must be queried separately, and the separate results need to be added together manually, which is costly, time-consuming, and inefficient. To bring the data together, companies use one or more of the following data integration strategies: Extract, Transform, and Load (ETL) Processes Enterprise Service Buses (ESBs) Data virtualization This E-book compares the roles of ETL, ESB and data virtualization in turn when applied in different scenarios, highlighting the pros and cons of each process as well as featured case studies from Logitech and Digital Realty. This content was jointly created with our partner Denodo. Learn more about our Data Analytics & Business Intelligence services. COIs Data & Analytics Topics Using Data Analytics Download the E-Book Work Email* Company NameFirst Name*Last Name*How did you hear about us?*I agree to receive marketing communications from Orion Innovation.* I agree to receive marketing communications from Orion Innovation. We are committed to protecting and respecting your privacy. Please review our privacy policy for more information. If you consent to us contacting you for this purpose, please tick above. By clicking Register below, you consent to allow Orion Innovation to store and process the personal information submitted above to provide you the content requested.CommentsThis field is for validation purposes and should be left unchanged.