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.

In today's livestream, Saurin Shah and Isaac Kunen talk about unstructured data support in Snowpark. Hosted by Felipe Hoffa and Dash Desai.

Securonix brings exciting new capabilities to the field of threat detection and response thanks to its integration with Snowflake. Together, the two companies provide a split-architecture solution that solves the problem of data silos and enables organizations to make better, more timely decisions about potential threats to their organization. It’s a next-gen SIEM solution already finding widespread use in such organizations as healthcare institutions, airlines, and telecommunication companies.

In today’s world, retail customers expect things fast. They want their products on time and they want their orders not to be canceled. And when things go wrong, they want answers. To deliver that experience, retailers need to be able to understand at a granular level how their customers’ orders are moving through their supply chains. In this episode of “Powered by Snowflake,” Daniel Myers chats with Elevate Co-founder and CTO James Sutton about his company’s recently introduced retail operations platform that provides the analytics retailers need to evaluate and manage supply chain performance.