How to Fill your Data Lakes and Not Lose Control of the Data

Data lakes are everywhere now that cloud services make it so easy to launch one. Secure, cloud data lakes store all the data you need to become a data-driven enterprise, but filling data lakes is a complex process which must be done properly to avoid costly data preparation and compliance breakdowns. Such large scale data exchange poses significant data availability and data governance challenges.

This paper examines how an enterprise data lakes and federated data governance establishes centralized controls for your enterprise data while enabling decentralized data lakes to flourish.

Author: John Ottman

Executive Chairman, Solix Technologies, Inc.

Try SOLIXCloud Enterprise Archiving

Hosted on Microsoft Azure, SOLIXCloud Enterprise Archiving delivers a fully managed low-cost, scalable, elastic, secure, and compliant data management solution for all enterprise data.

Related Resources
  • Embrace The New Cloud Paradigm to Fuel Digital Transformation

    White Paper

    Embrace The New Cloud Paradigm to Fuel Digital Transformation
    The early adopters of digital transformational strategies are disrupting markets, increasing their competitive advantages, and...

  • Solix Enterprise Data Lake

    Datasheet

    Solix Enterprise Data Lake
    CIOs are in a difficult position. The demands for operational efficiencies and improved enterprise data warehouse (EDW) seem to be...

  • Solix Common Data Platform

    Datasheet

    Solix Common Data Platform
    The Solix Common Data Platform (CDP) is a uniform data collection, retention management and data access system for structured and...

  • Empowering the Data-driven Enterprise with Solix Common Data Platform

    White Paper

    Empowering the Data-driven Enterprise with Solix Common Data Platform
    Read how Solix Common Data Platform (CDP) enables data-driven organizations to gain more value from their data because data can...

Customer & Partner Speak

The Solix makes the high-volume extraction and retirement of machine data simple, with these larger data sets, we are able to perform meaningful analysis and leverage existing tools to determine root cause analysis and find defects.

Giri Chodavarapu

Vice President of Global IT Finisar

Have questions? Talk to us.