Realizing the Potential of In-Memory Computing for BI and Analytics
For business intelligence and analytics, in-memory computing is a groundbreaking development. In-memory computing can free users from many of the performance constraints on data access and analysis caused by having to go to disk. Using expanded main memory opens up a much larger territory for running analytic functions against data locally, and for reports and analytic models that demand real-time data. In-memory is a boon to “self-service” BI and analytic discovery as well, enabling users to do more themselves rather than depend on IT.
TDWI invites you to join this Webinar to learn how organizations can employ in-memory computing to move their BI and analytics to the next level. You will learn how the trend toward in-memory computing impacts existing and future deployments of BI and analytics systems. The Webinar will also cover new opportunities in data access, reporting, and analysis made available by in-memory computing.
You will learn:
- Key technology changes brought about by in-memory computing for BI and analytics
- What in-memory computing means for self-service BI and data discovery
- How organizations can balance in-memory BI and analytics with the continuing need to access data from disk
- New types of applications and data visualization made possible by in-memory computing