5 benefits of real-time data warehousing
Businesses aiming to deliver superior digital experiences, retain customers and innovate rapidly must seek ways to get value from data faster, and this is where real-time data warehousing helps.
Businesses aiming to deliver superior digital experiences, retain customers and innovate rapidly must seek ways to get value from data faster, and this is where real-time data warehousing helps.
As companies go all in on the cloud to dominate the decade of data, agility, flexibility, and ease of use are critical to success. That’s why we’re so excited to announce ThoughtSpot’s support for Amazon Redshift Serverless which allows customers to leverage the Modern Analytics Cloud to run and scale analytics on Amazon Redshift without having to provision and manage any data warehouse infrastructure.
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.