Gartner Research

Use Hadoop as a Service to Reduce Time to Delivery for Agile Analytics

Published: 13 March 2018

ID: G00347549

Analyst(s): Garth Landers , Raj Bala , Nick Heudecker

Summary

Hadoop processes large datasets cost-effectively at scale, but its limitations include operating costs, a lack of enterprise skill sets and slow time to value. I&O leaders can mitigate this by adopting Hadoop as a service for faster ROI, but this compromises flexibility and produces vendor lock-in.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Choose HaaS When Requirements for Elasticity, Scale and Time to Deploy Outweigh Concerns About Vendor Lock-In
  • Learn by Failing Fast and Taking an Iterative Approach to Success
  • Design Your Environment With Governance in Mind
  • Plan for Cost Adjustment Throughout the Hadoop Life Cycle

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