Big data analytics performance management is a competitive differentiator and a priority for data-driven companies. However, optimizing IT costs while guaranteeing performance and reliability in distributed systems is difficult. The complexity of distributed systems makes it critically important to have unified visibility into the entire stack. This webinar discusses how to maximize the business value of your big data analytics stack investment and achieve ROI while reducing expenses. Learn how to:
- Correlate visibility across big data applications and infrastructure for a complete and transparent view of performance and cost.
- Continuously tune your platform, and run up to 50% more jobs on Hadoop clusters.
- Optimally utilize resources, and ensure customer satisfaction.
- Simplify troubleshooting and problem resolution while resolving issues to meet SLAs.
In this webinar, learn specific ways to automatically tune and optimize big data cluster resources, recapture wasted capacity, and improve ROI for your big data analytics stack.