TechValidate Research on Micro Focus Archive


Case Study: Large Enterprise Media & Entertainment Company

Introduction

This case study of a large enterprise media & entertainment company is based on a February 2013 survey of HP Vertica customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“We are able to track and analyze data in much greater detail than with our previous platform. Our load times have decreased from 18 hours to 3 per 120gb of data. We are able to execute multiple analytical cubes and support a large number of users concurrently.”

Challenges

  • Addressed the following pain points with the HPE Vertica Analytics Platform:
    • The inability to analyze large volumes of data
    • Performance limits with current system
    • Existing data warehouse/data management infrastructure that could not handle Big Data

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Clickstream analyses
  • Currently managing 80 – 200 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Hadoop
    • MicroStrategy
    • Talend Open Studio

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Simplicity
    • In-database analytics capabilities – R, C++
    • Native support MapReduce and Hadoop
    • Optimizer and execution engine
  • Achieved the following with HPE Vertica software:
    • Faster analysis and reporting
    • The ability to load and analyze data concurrently
    • Improved insight into customer behaviors
    • Increased concurrency for accessing analytics/BI (multiple users)
    • High availability for analytics systems
  • Is able to analyze > 1,000% more data at one time with HPE Vertica.




About This Data

This data was sourced directly from verified users of Micro Focus Archive by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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