Many a time, the choosing of a product analytics vendor can be quite an ordeal because there is no one-size-fits-all solution. The technical factors such as tech stack compatibility and integrations with the product have to be balanced with the financial health of the business. You need to find the sweet spot between where you need to go and how much money you actually have to get there.

Amid the rapid pace of change felt by organizations this year, it’s no surprise that digital transformation projects have been high on the agenda for CIOs across the globe. To achieve both their organizational and transformation goals and become digitally agile as a result, CIOs are often tasked with creating the conditions needed to enable an intelligent and flexible digital core.

Building on the announcements made at this year’s Summit, Snowflake has released a number of new enhancements, especially in the areas of data programmability, global governance, and data sharing. Read on to learn more. For additional details and to see some of these new capabilities in action, be sure to check out the on-demand sessions from Summit.

Everyone wants to manage their data, and if it’s a feature store, even better! But for optimal data management, we must first discuss lightweight zero upfront setup costs and maximizing utility with ClearML-data. ClearML-data mimics the light weightiness of git for data (who doesn’t know git?) and gives it a spin. It is an open-source dataset management tool which is extremely efficient and conveys how we view DataOps and its distinction from git-like solutions, including.