Leading organizations pursuing digital transformation are turning to big data and cloud deployments to drive agile development and innovation. Data lakes, IoT initiatives, AI, ML experiments, and self-service analytics programs — to name a few — are all moving into the cloud.
Yet even companies that are “all in” on the cloud often choose to retain certain data and related assets on-premises because of privacy or other regulatory requirements. Trust is a core concern in any data initiative, yet governance and assurance of compliance have never been more challenging now that organizations have data and assets spread across the cloud and on-premises data centers.
This Constellation Research report explains:
Read this report to learn the key requirements for supporting a data lake architecture that spans data on premises and in the cloud.