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Items Tagged: HBase

Profiles/Reports

Now Big Data Works for Every Enterprise: Pepperdata Adds Missing Performance QoS to Hadoop

While a few well-publicized web 2.0 companies are taking great advantage of foundational big data solution that they have themselves created (e.g. Hadoop), most traditional enterprise IT shops are still thinking about how to practically deploy their first business-impacting big data applications – or have dived in and are now struggling mightily to effectively manage a large Hadoop cluster in the middle of their production data center. This has led to the common perception that realistic big data business value may yet be just out of reach for most organizations – especially those that need to run lean and mean on both staffing and resources.   

This new big data ecosystem consists of scale-out platforms, cutting-edge open source solutions, and massive storage that is inherently difficult for traditional IT shops to optimally manage in production – especially with still evolving ecosystem management capabilities. In addition, most organizations need to run large clusters supporting multiple users and applications to control both capital and operational costs. Yet there are no native ways to guarantee, control, or even gain visibility into workload-level performance within Hadoop. Even if there wasn’t a real high-end skills and deep expertise gap for most, there still isn’t any practical way that additional experts could tweak and tune mixed Hadoop workload environments to meet production performance SLA’s.

At the same time, the competitive game of mining of value from big data has moved from day-long batch ELT/ETL jobs feeding downstream BI systems, to more user interactive queries and business process “real time” applications. Live performance matters as much now in big data as it does in any other data center solution. Ensuring multi-tenant workload performance within Hadoop is why Pepperdata, a cluster performance optimization solution, is critical to the success of enterprise big data initiatives.

In this report we’ll look deeper into today’s Hadoop deployment challenges and learn how performance optimization capabilities are not only necessary for big data success in enterprise production environments, but can open up new opportunities to mine additional business value. We’ll look at Pepperdata’s unique performance solution that enables successful Hadoop adoption for the common enterprise. We’ll also examine how it inherently provides deep visibility and reporting into who is doing what/when for troubleshooting, chargeback and other management needs. Because Pepperdata’s function is essential and unique, not to mention its compelling net value, it should be a checklist item in any data center Hadoop implementation.

To read this full report please click here.

Publish date: 12/17/15
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Mobile gaming company plays new Hadoop cluster management card

Chartboost, which operates a platform for mobile games, turned to new cluster management software in an effort to overcome problems in controlling the use of its Hadoop processing resources.

  • Premiered: 01/05/16
  • Author: Taneja Group
  • Published: TechTarget: Search Data Management
Topic(s): TBA Chartboost TBA mobile TBA cluster TBA Cluster Management TBA Hadoop TBA processing TBA data processing TBA analytics TBA Big Data TBA MapReduce TBA Hive TBA Spark TBA Optimization TBA Cloudera TBA AWS TBA Amazon TBA Cloud TBA YARN TBA Pepperdata TBA Memory TBA CPU TBA Application TBA Concurrent TBA SLA TBA service-level agreement TBA HBase TBA application performance TBA application performance management TBA Mike Matchett
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It’s 3 a.m. — Do You Know What Your Cluster’s Doing?

Performance challenges in Hadoop environments are par for the course as organizations attempt to capture the benefits of big data.

  • Premiered: 07/20/16
  • Author: Taneja Group
  • Published: Enterprise Tech
Topic(s): TBA Mike Matchett TBA Hadoop TBA cluster TBA Big Data TBA big data analytics TBA QoS TBA HBase TBA ETL TBA SLA TBA ROI TBA Performance Management TBA YARN TBA Hadoop 2 TBA Mesos TBA OpenStack TBA Docker
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Cask Releases Preview of First Unified Integration Platform for Big Data

Cask (cask.co), the company that makes building and running big data solutions easy, today announced a public preview release of CDAP 4, the first unified integration platform for big data.

  • Premiered: 09/19/16
  • Author: Taneja Group
  • Published: Yahoo! Finance
Topic(s): TBA Cask TBA Big Data TBA Spark TBA Hadoop TBA HBase TBA Oracle TBA Netezza TBA AWS TBA Amazon AWS TBA Amazon Web Services TBA Kinesis TBA API TBA Mike Matchett
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Smarter storage starts with analytics

Storage smartens up to keep pace with data-intensive business applications embedding operational analytics capabilities.

  • Premiered: 04/03/17
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Storage TBA storage analytics TBA analytics TBA Artificial Intelligence TBA AI TBA software-defined TBA Flash TBA SSD TBA In-Memory TBA Hybrid Cloud TBA hybrid cloud tiering TBA cloud tiering TBA Cloud TBA Performance TBA Security TBA Metadata TBA API TBA HPE TBA BMC TBA Saas TBA remote storage TBA NetApp TBA Cassandra TBA HBase TBA Spark TBA Big Data TBA big data analytics TBA InfoSight TBA cluster TBA VM-aware