How Three Companies Reduced TCO up to 60% for their Data Warehouse Appliance
Many companies have adopted data warehouse appliances such as SAP HANA, Teradata and Exadata to accommodate huge amounts of data, often measuring dozens to hundreds of terabytes. A typical implementation may start small, growing node by node with the data as needed. But as the system grows, so does the complexity of data and memory management and the associated system maintenance. Complex query performance is often adversely affected by growth and total cost of ownership (TCO) can skyrocket due to unforeseen upgrades required to keep the system running at reasonable performance levels.
This webinar highlights three companies and the steps they have taken to:
- Significantly improve data access, data management, and query performance
- Greatly reduce the TCO of their data warehouse appliance.
The session is recommended for data professionals who support and maintain their data warehouse appliances including data architects, DBAs, data engineers, as well as C-level managers, CIOs, CTOs and CDOs seeking to reduce TCO while improving the performance of their systems.
David Akka is a self-confessing “recovering techie” with more than 25 years of experience in software, disruptive innovation, big data analytics, sales, and marketing.