Analytics

How Data Affects Healthcare | Rise of The Data Cloud | Snowflake

Data driven healthcare, anonymized data hackathons in a digital data sandbox, how to leverage the power of data for good, compute on demand, how the pandemic has affected digital adoption and how shifting to the cloud impacts patients are just some of the topics being covered in today's episode of Snowflake's Rise of the Data Cloud. Join us as Ashok Chennuru, Chief Data and Analytics Officer at Anthem gives us a peek into the world of AI and healthcare.

Fivetran Launches Support for New Databricks + GCP Offering

Businesses can now use Fivetran with the Lakehouse Platform on Google Cloud. We are excited to launch Fivetran support for a newly available solution: Databricks on Google Cloud. We’ve partnered with both Databricks and Google Cloud for many years now, and understand the unique value they each deliver to Fivetran customers, so it was a priority for us to support their joint effort.

ThoughtSpot Everywhere - Build Interactive Data Apps

Create more engaging analytics experiences with search & AI. Businesses today run on apps, and those apps run on data. Too often, however, that data is presented in stale, static dashboards. Users want to be able to surface and explore insights on their own. ThoughtSpot Everywhere is a low-code platform that makes it easy to build interactive data apps or embed search and AI in your existing SaaS apps. And thanks to our flexible APIs, your customers will be able to automatically trigger actions and workflows from the analytical insights they uncover.

New: Data scientists, run transformations and model data in R!

We’re happy to announce that we added R to our selection of transformation and workspace backends in our freemium accounts. Access a wide variety of statistical methods offered by R and model data straight from Keboola. No more context switching and working in a few different tools. Start modeling data and running transformations in R. Create a free account and take Keboola for a spin. R transformations complement Python and SQL where computations or other operations are too difficult.