Gartner Research

Best Practices for Designing Your Data Lake

Published: 19 October 2016

ID: G00315546

Analyst(s): Nick Heudecker

Summary

Data lakes fail when they lack governance, self-disciplined users and a rational data flow. Successful data lakes require data and analytics leaders to develop a logical or physical separation of data acquisition, insight development, optimization and governance, and analytics consumption.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Design Data Lakes With the Elements Necessary to Deliver Reliable Analytical Results to a Variety of Data Consumers
    • Data Acquisition
    • Insight Discovery and Development
    • Optimization and Governance
    • Analytics Consumption

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