Data virtualization challenges traditional technologies. Organizations have been storing and processing data for decades, but the rate of data generation has substantially grown in the recent years. In addition, many organizations now have data sources that contain sensitive data that cannot be exported into traditional data warehouses. Though, rather moving data from different sources and combining it into a new location, organizations will need a distinct approach that merges data together efficiently. How can organizations face these challenges by enabling data acceleration?
Data transfer work is typically done in ETL (Extract, Transform and Load) tools. Yet, the need to move and edit data between sources and data warehouses has decreased. Organizations are searching for new techniques to that allow them to retrieve their data themselves without any additional costs.
Data virtualization combines two technologies, data federation and analytical database management. By using data virtualization organizations are flexible and scalable. The amount of data processed can be significantly increased, making the use of analytics even more important. Data virtualization does not only provide a view of the data in real time from a variety of systems that are normally very time consuming to integrated, but it also supports a wide variety of uses.
How can organizations reduce costs of storage? Remove unnecessary data processes and increase work efficiency?
Because a lot of organizations are dealing with these challenges, we are organizing this Round Table: How can data acceleration boost the business?
This session will be held in English on Tuesday, April 26th from 10.00 till 13.00hrs. During this session we invite you to discuss the topics among your peers. Enabling you to gain new insights and discover opportunities by sharing knowledge and experiences.
- What role can data virtualization play in facing the data callenges of your organization?
- How does your organization optimize data processing systems?
- What is needed to reduce the costs and make data store more scalable for within your organization?
This event is made possible thanks to knowledge partner Denodo. From their specific expertise and experience with the discussion topics, they are happy to share their knowledge and experiences with you during the substantive discussion.
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