Logo Main Free Trial

Big Data Analytics Stack Performance Blog

Apr 07
Problems with spark

Problems with Spark: Library Conflicts

Apache Spark™ plays a critical role in the adoption and evolution of Big Data technologies. Despite some problems with Spark deployment and use that are occasionally encountered, it still provides more sophisticated ways for enterprises to leverage big data compared to Hadoop. The increasing amount of data being analyzed and... read more →
Mar 31
real time performance data is saving pepperdata customers millions of dollars 03

Real-Time Performance Data is Saving Pepperdata Customers Millions of Dollars

Because they lack real-time performance data on their application utilization and provisioning, enterprises using cloud or hybrid infrastructures are overprovisioning. The outcome? Millions of dollars wasted on resources they don’t even use. Pepperdata users benefit from powerful, actionable, real-time performance data. This 360-degree visibility empowers them in their troubleshooting, debugging,... read more →
Mar 24
Mar 17
Mar 10
Mar 03
social 2020 blogs2 pepperdata operationsteams fb1

Can You Rein In Runaway Hybrid Big Data Costs?

This blog post touches on the broader themes of our whitepaper, Reducing the Runaway Costs of a Hybrid Big Data Architecture. To get the full story, download the whitepaper here. Large-scale cloud migration begins for a number of reasons. Contributing factors include an on-prem data center reaching its capacity limit,... read more →
Feb 25
2020blogsimages 80 percent of organizations overshoot their big data cloud budgets. why fb

How Companies Can Avoid Vendor Lock-In

Companies migrating to the cloud need to be able to optimize performance and minimize cost while keeping their options open. A key way to do this? Avoid vendor lock-in. Vendor lock-in is the enemy of agile, proactive enterprise activity.  What Is Vendor Lock-In? “Vendor lock-in” refers to a situation where... read more →
Feb 18
Feb 11
The Problem with Executor Resource Sizing and Heap Utilization in Apache Spark™

Problems with Apache Spark #3: Executor Resource Sizing and Heap Utilization

Apache Spark™ has quickly become an open-source framework, and the only unified analytics engine, that combines large-scale data processing with state-of-the-art machine learning and AI algorithms. However, Apache Spark™ can also come with an array of problems and deployment issues. Pepperdata Field Engineer Alexander Pierce draws on his experiences across dozens... read more →
Feb 04