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Market Research Report

Performing Big Data Analytics Using Hadoop: Its Complex Ecosystem is Limiting CSPs' Adoption

Published by Analysys Mason Product code 351709
Published Content info 30 Slides
Delivery time: 1-2 business days
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Performing Big Data Analytics Using Hadoop: Its Complex Ecosystem is Limiting CSPs' Adoption
Published: February 5, 2016 Content info: 30 Slides
Description

"CSPs should increase their use of Hadoop to support specific data infrastructure use cases, but must ensure that they select suitable components; vendors can help CSPs to unlock Hadoop's potential by productising Hadoop integrations with their applications."

Apache Hadoop is not the only big data analytics infrastructure available, but communications service providers' (CSPs') increasing use of the technology illustrates the shift that they and vendors are making towards the adoption of new, low-cost and more-powerful technology to enable them to store, compute and analyse big data sets. This report provides a detailed analysis of CSPs' use of the Hadoop technology, and makes recommendations to vendors that are supporting these moves.

This report:

  • discusses how Hadoop and related technologies should be used to support big data analytics use cases for CSPs
  • analyses the business cases that Hadoop is being used to address
  • provides an overview of the core technologies used by Hadoop
  • identifies the companies that supply, distribute and support the technology, and discusses what they provide in more detail
  • highlights the areas within CSPs' organisations that Hadoop has been deployed.

Hadoop is increasingly being used as part of CSPs' data infrastructure, in conjunction with traditional data warehouse technology

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Table of Contents

Table of Contents

  • EXECUTIVE SUMMARY
  • HADOOP ARCHITECTURE AND COMPONENTS
  • KEY VENDOR SOLUTIONS
  • HADOOP IMPLMENTATIONS
  • ABOUT THE AUTHOR AND ANALYSYS MASON
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