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Introduction

Part of an emerging breed of tools targeted at helping end users understand big data, Alation combines machine learning with crowdsourcing and collaborative approaches to help them ask the right questions of the right data.

Highlights

  • Alation combines machine learning and collaboration approaches to catalog big data, and help business end users query it.

Features and Benefits

  • Analyzes Alation's self-service approach to discovering, cataloging, and helping business end users query big data.
  • Illustrates how Alation has created a unique spin on cataloging, going beyond listing APIs or metadata to employ machine learning for categorizing data, supporting collaboration, and providing capabilities that help business end users form queries.

Key questions answered

  • How does Alation differ from other big data cataloging tools?
  • How does the Teradata relationship impact the company's strategy with other data platforms?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Alation on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

Have any questions? Speak to a Specialist

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