Hadoop is great for big data infrastructure and architecture initiatives. Without it, big data processing would be a whole lot harder. However, manually tuning Hadoop is an inefficient process that reduces job performance by 30-50%. In addition, it can even put a damper on your big data analytics ROI.
As big data analytics platforms grow in scale and complexity, both on-prem and in the cloud, managing and maintaining efficiency is a critical challenge. But many organizations are wasting money with their dated approach to Hadoop, causing a decrease in their ROI on big data analytics projects.
On December 4th, Pepperdata Field Engineer Eric Lotter hosted a webinar in which he discussed how Pepperdata can help an organization increase ROI on their big data investments, including how to:
- Maximize big data infrastructure investment
- Achieve up to a 50 percent increase in throughput, and run more jobs on your existing big data infrastructure
- Ensure cluster stability and efficiency
- Avoid overspending on unnecessary hardware, hence improving ROI on big data investments
- Spend less time in backlog queues
- Access big data case studies and examples
On a typical cluster, hundreds and even thousands of decisions are made per second, increasing typical enterprise cluster throughput up to 50 percent. Even the most experienced operator dedicated to resource management can’t make manual configuration changes to their big data infrastructure/architecture with the required precision and speed.
Furthermore, it can often be very difficult even for experienced operators to find root causes when ROI and other problems arise. Then, there’s the issue of inefficient cluster utilization. Clusters have a lot of headroom, and the more you set up different clusters for different workloads, the more capacity you waste.
Check out Eric’s webinar on how to get the biggest ROI from your big data infrastructure and architecture. Learn how to automatically tune and optimize cluster resources, and recapture wasted capacity. Eric provides relevant big data case studies and examples, and shows how any enterprise can get more ROI out of their infrastructure investment.