Systems | Development | Analytics | API | Testing

The skyrocketing value of data has created a global supply and demand for data, data applications, and data services. This new data economy is powered by technologies that enable data access and sharing, including cloud platforms, exchanges, and marketplaces.

Since I joined Snowflake, I have been asked multiple times what data warehouse modeling approach Snowflake best supports. Well, the cool thing is that Snowflake supports multiple data modeling approaches equally. Turns out we have a few customers who have existing data warehouses built using a particular approach known as the Data Vault modeling approach, and they have decided to move into Snowflake. So the conversation often goes like this.

In March, Snowflake continued to enhance its capabilities around data programmability and data pipeline development, with the Snowpark API and stored procedures for Java now in public preview, schema detection now generally available, and the Snowflake SQL API generally available. In addition, Snowflake’s user interface, Snowsight, is generally available. Not to mention an expanded selection of new partners to choose from in Snowflake Data Marketplace.

Once upon a time, the retail calendar centered itself on the Christmas season. Now, the retail surge is year-round. Not just the wave of traditional seasonal holidays from Valentine’s Day to the 4th of July, but also newer sales holidays, such as Cyber Monday, or even holidays created by some gigantic companies themselves, like Amazon’s Prime Day. Now, instead of a steady pace leading up to a frenzied December, retailers are in sprint mode all the time.