September 22, 2016
Sean Suchter

The popularity of Amazon Elastic MapReduce (EMR) has soared over the last couple of years thanks to its ability to simplify big data processing. EMR provides a managed Hadoop framework that makes it easy, fast, and cost-effective for customers to distribute and process vast amounts of data – but all good things can be improved […]

September 13, 2016
Ed Colonna

We’ve heard it time and time again: one of the biggest challenges for Hadoop operators is too much time spent troubleshooting. Whether it takes way too long to put out figurative fires on your Hadoop cluster, or you spend forever trying to determine the root cause of performance issues, or you can’t for the life […]

September 12, 2016
Becky Mendenhall

Delivering superior customer service requires a colossal magnitude of data coupled with a vast array of internal and external data sources in order to support key initiatives like compliance reporting, security fraud detection, and “next action” scenarios for customer service. The most innovative leaders in financial services are seeking ways to leverage big data to identify […]

August 11, 2016
Ed Colonna

As the experts in distributed computing performance, Pepperdata is keenly aware of the challenges all organizations face when running Hadoop in production. Getting your cluster to run optimally is no easy feat, which is why it’s imperative to understand the underlying cause of performance issues so that they can be corrected, or better yet, averted […]

August 8, 2016
Ash Munshi

I joined Pepperdata to help scale the company in both the technology and business dimensions. Pepperdata’s early success in enterprises deploying Hadoop is proof that the market for systems that deliver predictable application performance for distributed computing is beginning to take off. As we all know, organizations now have access to more data than ever […]