Systems | Development | Analytics | API | Testing

May 2022

Snowpark for Python: Bringing Efficiency and Governance to Polyglot ML Pipelines

Machine learning (ML), more than any other workflow, has imposed the most stress on modern data architectures. Its success is often contingent on the collaboration of polyglot data teams stitching together SQL- and Python-based pipelines to execute the many steps that take place from data ingestion to ML model inference.

Yext Relies on Snowflake to Create User-Friendly Search Experiences

Historically, the search functionality on company websites have left much to be desired, forcing users to turn to sites like Google or Bing to find answers to their questions. But the Yext Answers Platform has changed the game. In this episode of “Powered by Snowflake,” Michael Peralta, Product Lead of Analytics at Yext explains how the Yext platform makes it possible for companies to deliver a cutting-edge search experience right on their own websites. The AI-powered platform uses natural language processing that understands the context of a search query, enabling the search engine to deliver meaningful results to people, not just links.

Virgin Media Ireland Scales Up to Empower Local Operations with Snowflake's Data Cloud

Ireland's largest commercial television broadcaster, Virgin Media Ireland collects vast volumes of customer data across a quad-play service: mobile, broadband, home phone, and TV. In this video, the company's Insight and Analytics Director, Martin Graham, describes how Virgin Media Ireland analyzes data and uses it to evolve the company’s services and continually improve the customer experience.

NHS GMHSCP Provides Support To 3 Million Patients With Snowflake

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.

How Snowflake Support Uses Data to Improve the Customer Experience

Customer advocacy is one of the Snowflake Support team’s most important roles. Working closely with customers around the world every day, we listen and learn to gain meaningful insights into Snowflake products, the ways our customers use those products, and the challenges they face. We feel a deep responsibility to take those insights and trends, analyze them, and drive positive change on behalf of Snowflake customers.

Snowflake Scripting

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..

Software.com Helps Improve Developer Productivity

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.

Using Snowpark As Part Of Your Machine Learning Workflow

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.

AT&T Connects the World in the Data Cloud

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.

How Piano Helps Companies Use Captured Data to Understand Customer Behavior

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 Boosts Innovation With Snowflake Data Cloud

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.

Lightweight Batch Streaming

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.