The data demands on healthcare professionals are increasing by the day, and in a post-COVID world the only way to overcome backlogs is to work smarter. We talked to Graham Beales, Head of Business Intelligence at the Greater Manchester Health and Social Care Partnership, to learn about the opportunities Snowflake brings to the NHS.

In this episode of The Data Cloud Podcast, Jeff Buck, CEO, Robling and Graeme McVie, Managing Director of Data Science and Analytics, Logic Information Systems, discuss how to bridge industry silos, the future of data and retail, their take on current technology trends, and much more.

Writing and sharing stored procedures in Snowflake just got easier with the general release of the new Snowflake Scripting feature. It’s a feature that saw wide adoption when it was in public preview, says Felipe Hoffa in this episode of “Snowflake Bytes,” which is understandable, he says, given how much less code you need when writing in SQL versus JavaScript. Check out the video to learn more..

Data pipelines are the lifeblood of data-driven enterprises. From data ingestion to distributed processing, data engineering spans across many data infrastructure layers and encompasses complex development lifecycles. It is not trivial to build a successful data engineering practice.

More than 300,000 software developers and organizations around the world have adopted Software.com’s DevOps Metrics Platform to improve their development processes and make individual developers more productive while making their work days more enjoyable. In this episode of “Powered by Snowflake,” Mason McLead, CTO at Software.com, chats with Snowflake’s Daniel Myers about how the platform works and the critical role that Snowflake plays in making it all possible.

Teams working on data science initiatives are tasked with deriving new insights from massive amounts of data. To accomplish this, teams work with compute environments that require heavy operational overhead, which means most of their time is spent extracting and processing features for machine learning model training and inference. Pairing Snowflake’s near-unlimited access to data and elastic processing engine with the most popular programming languages can change that, so more time can be spent on model development.

To be one of the most connected companies in the world, AT&T chose the Snowflake Data Cloud for their digital transformation and data democratization. With Snowflake, AT&T has a single source of truth of their data across the organization and through Snowflake data collaboration, AT&T's business partners can seamlessly access AT&T's data to improve their customer experience.

Big B2C companies looking to better understand their customers and influence their behavior are turning to Piano’s analytics and activation platform to glean insights from captured data. In this episode of “Powered by Snowflake,” Daniel Myers chats with Piano CEO Trevor Kaufman how his company’s “digital experience cloud” takes behavioral data from customer website interactions from across the digital ecosystem and gives its clients the ability to run predictive analytics and create visualizations and reports that provide critical information about those customers' habits, interests, transactions, and more.

Billie is among the fastest-growing financial services startups globally—providing German companies with flexible B2B “buy now, pay later” transactions. In this video, Igor Chtivelband, VP of Data, takes us on the Billie & Snowflake success journey, from migrating Billie's data warehouse to the Snowflake Data Cloud to better identify potentially fraudulent transactions.

What’s an easy, low-cost way to batch stream data into Snowflake in near real-time? In this episode of Snowflake Bytes, Felipe Hoffa uses RSVP data from Meetup to demonstrate how you can use Google Cloud Pub/Sub and Snowpipe to do just that. Meetup publishes about 4 thousand RSVPs for events per hour that it can use to analyze what’s happening around the world. In the video, you’ll find a link to Hoffa’s blog post, which shares the code he used to create a lightweight pipeline to automatically ingest each of these files into Snowflake so that they can be queried.