Gartner Research

Efficiently Evolving Data From the Data Lake to the Data Warehouse

Published: 29 November 2017

ID: G00336042

Analyst(s): Rick Greenwald, Ehtisham Zaidi


More data presents challenges for data and analytics leaders trying to balance the demands for agility and experimentation with the need for curation and optimization for data analysis. Using both data lakes and data warehouses allows for flexibility in addressing both sets of requirements.

Table Of Contents
  • Key Challenges



  • Collect Metadata on Data Lake Usage to Provide Direction on Refinement
  • Use Data Lake Metadata to Prioritize Datasets for Movement
  • Data Preparation Tools Can Be Used as Part of an Iterative Approach to Data Refinement

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