TDWI Insight Accelerator | Adopting Modern, AI-Powered Cloud Data Management
June 2, 2020
In the rush to the cloud, organizations are in danger of paying too little attention to modernizing cloud data management.
Organizations need good data management to provision both users and automated services with trusted, well-governed data. The types of data that organizations need to manage are changing fast, putting pressure on data management technologies and practices.
To accommodate today’s data and make it available for a variety of analytics, AI, and business intelligence applications, many organizations are replacing, modernizing, or augmenting their existing on-premises data warehouses and data lakes with deployments in the cloud.
However, it’s one thing to put data in the cloud and another to manage it there effectively. With today’s economic environment in flux, organizations cannot afford to make mistakes with data management—much less make the same mistakes over and over again.
Organizations need to learn from the past in order to deliver faster time to value with cloud analytics. This TDWI Insight Accelerator explains how to ensure that you have the right data management strategy to accelerate your progress.