easily load all your JSON data and redirect your focus on deriving data insights.
At Snowflake, we’re committed to helping customers effectively manage and optimize spend. To this effect, we’re excited to launch the public preview of Budgets on AWS today, which enables customers to set spending limits and receive notifications for Snowflake credit usage for either their entire Snowflake account or for a custom group of resources within an account.
Your company collects data from different sources and then you analyze the data to help make the right decisions. But you aren’t quite getting the results that you expect. Maybe the insights aren’t accurate. Perhaps the process is time consuming and cumbersome. Or you are only currently using data for a few use cases and struggle to implement organization wide.
Finding meaningful cost savings is a high priority for companies running their enterprise architecture in the public cloud. Cloud costs have ballooned in recent years and account for over 30% of IT budgets, reports IDC. Enterprises have sought to shift their cloud workloads from on-premises to public clouds, depending upon pricing and performance, to provide themselves with better leverage and business flexibility.
Fast moving data and real time analysis present us with some amazing opportunities. Don’t blink—or you’ll miss it! Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.
We are excited to announce the availability of data pipelines replication, which is now in public preview. In the event of an outage, this powerful new capability lets you easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake with minimal downtime.
The query execution graph provides performance insights to help you easily understand, troubleshoot and optimize your BigQuery analytics queries.