Snowflake, the cloud-based data warehouse company, doesn’t tend to do small rounds. On Friday night word leaked out about its latest mega round. This one was for $479 million on a $12.4 billion valuation. That’s triple the company’s previous $3.9 billion valuation from October 2018, and CEO Frank Slootman suggested that the company’s next finance event is likely an IPO.
We build our data analytics products to be easy to use, and tightly integrated with the rest of Google Cloud’s ecosystem. BigQuery is built for speed, letting you analyze gigabytes to petabytes of data using ANSI SQL with no operational overhead. BigQuery’s serverless model means that resource provisioning happens behind the scenes, so you can focus on analytics instead of managing infrastructure. Customers can now run analytics at scale with a 26% to 34% lower three-year TCO than cloud data warehouse alternatives.
To support operations and make better decisions, the way companies manage and store data must be improved. This effort applies to master both customer and product master data as well as transactional data that is often stored across many different systems. An effective tech backbone successfully manages data across the full ecosystem to provide relevant, quality data in an efficient way. Companies should define the “golden sources” of record for master data and set up a data warehouse, data lake, or other fit-for-purpose data-storage solution. Managing data correctly in the tech backbone significantly improves reporting quality, the performance of analytics, and overall business operations.