Menu

Case Study: Yota

Introduction

This case study of Yota is based on a February 2013 survey of HP Vertica customers by TechValidate, a 3rd-party research service.

“Yota’s growth rate, and the transfer to 4G LTE, meant that the company needed a unified data warehouse to enable the processing and analysis of “big data” in real time. Currently, Yota’s data volume is 10TB, and every 24 hours another 30GB is added.

Parallel upload ensures that data is uploaded up to 100 times faster than before, while the speed of report creation and random access is, on average, 10 times faster compared with the previous data warehouse. Implementation of HPE Vertica was very simple, and the transition to the new storage database was so smooth that many employees did not even notice it was happening.

HPE Vertica will help to ensure that Yota’s online data processing, currently available in 35 Russian regions, will cover the majority of the Russian Federation’s 180 regions in the next two years."

Challenges

  • Addressed the following pain points with the HPE Vertica Analytics Platform:
    • Slow or incomplete queries
    • The inability to analyze large volumes of data
    • Summarized or aggregated data, losing detail and insights
    • The lack of connection between current BI/analytics initiatives and needs of business
    • Existing data warehouse/data management infrastructure that could not handle Big Data

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Network performance analyses
    • Customer analytics
    • Predictive analytics
    • Machine/sensor data analysis
  • Currently managing 10 – 20 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Business Objects Crystal Reports
    • Tableau
    • Talend Open Studio

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • Simultaneous loading and querying
    • Aggressive compression
    • High availability without hardware redundancy
  • Achieved the following with HPE Vertica software:
    • Faster analysis and reporting
    • The ability to load and analyze data concurrently
    • A more interactive, conversational view of our data
    • Improved insight into customer behaviors
    • Increased amount and complexity of data analyzed
    • Ease of adding additional database capacity
    • High availability for analytics systems
  • Increased query performance by 100 – 500% through improvement in response time with HPE Vertica.
  • Is able to analyze 100 – 500% more data at one time with HPE Vertica.
  • Saved $100,000 – $500,000 in overall cost savings from using HPE Vertica.




About This Data

This data was sourced directly from verified users of Micro Focus Vertica 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.


More Research on Micro Focus Vertica