Pepperdata Big Data APM Blog |

Dec 10

The 3 Main Challenges of Hadoop, and How Pepperdata Solves Them

Most companies today rely on Hadoop for their big data processing needs. However, such a sophisticated platform can still present pitfalls and challenges that DevOps teams grapple with almost every day. These challenges can usually be summed up into three main issues. Continue reading to find out what these are,... read more →

December 10, 2019
Pepperdata Team
Blog

Dec 04

How to Overcome the Five Most Common Spark Challenges

Everyone in the Big Data world knows Spark. It’s an amazing, powerful piece of software that runs workloads 100x faster than other methods. However, fantastic as Spark is, like all software, it has its challenges. In a recent webinar, we sat down with Alexander Pierce, a Pepperdata Field Engineer, to... read more →

December 4, 2019
Pepperdata Team
Blog

Nov 26

Data Correlation: The Key to Optimal Cluster Performance

Modern data analytics platforms such as Hadoop and Spark have become central to many Fortune 1000 businesses. As critical components for digital business success, they produce insights that can only be obtained by analyzing the massive amounts of data. The continued growth of these systems can mean that an enterprise... read more →

November 26, 2019
Pepperdata Team
Blog

Nov 21

What We Learned at Big Data London 2019

Big Data LDN returned to London last week. Since launching in 2016, the conference’s overall attendance has tripled to over 8,000 people, making it one of the largest big data events in Europe. Over the two days, attendees heard from over 150 data experts and visionaries on a wide variety... read more →

November 21, 2019
Pepperdata Team
Blog

Nov 16

A Pepperdata Veteran on the Challenges and Solutions of Big Data: Part Two

This blog post is part two of a two-part series authored by Pepperdata Field Engineer Jimmy Bates. Bates is a true veteran of the big data world. He speaks from a place of expertise and in-the-trenches experience. This second part describes his discovery within his career at Pepperdata, and his... read more →

November 16, 2019
Jimmy Bates
Products

Nov 08

A Pepperdata Veteran on the Challenges and Solutions of Big Data: Part One

This blog post is part one of a two-part series authored by Pepperdata Field Engineer Jimmy Bates. Bates is a true veteran of the big data world. He speaks from a place of expertise and in-the-trenches experience. This part one lays out his view of the history of big data,... read more →

November 8, 2019
Pepperdata Team
Industry

Nov 04

Automatic Tuning Always Beats Manual Tuning

Everyone wants to optimize their big data applications so that their infrastructure operates more effectively. But in the quest to get large enterprise, multi-tenant systems running as efficiently as possible, there are really only two methods. Pepperdata is dedicated to ending the burden of manual tuning. Get in touch today... read more →

November 4, 2019
Pepperdata Team
Blog

Oct 23

Right-Sizing Workloads for Success in the Cloud

Right-Sizing Workloads for Success in the Cloud IT and Operations teams are being tasked with creating a strategy to ensure cloud success for their organization. They are often disappointed when, after migrating their workloads to the public cloud, promised efficiencies and savings just don’t materialize. A report from Bain &... read more →

Oct 09

The Top Five Trends We Observed at Strata Data Conference 2019

The Pepperdata team had a fantastic time at this year’s Strata Data Conference in New York City. All of us are still buzzing from all the discussion of cutting-edge data strategies, techniques, and technologies. Here are the top five trends that kept coming up: 1. Big Data Applications are the... read more →

October 9, 2019
Pepperdata Team
Blog, Events, Industry

Sep 03

How Pepperdata Optimized Hadoop and Helped a Leading Online Travel Agency Save Millions

One of the world’s largest Online Travel Agencies (OTA) uses Pepperdata application and infrastructure performance management solutions to continuously optimize their Hadoop-based distributed computing environment. With more than 650 nodes, the customer’s installation ranks as one of the larger Hadoop clusters in existence. Our customer relies on this big data... read more →