Systems | Development | Analytics | API | Testing

Snowflake’s Trust Center, now in general availability, delivers a unified way to identify, address, and monitor security risks. Discover how scanner packages (Security Essentials, CIS Benchmark, and more) streamline compliance checks, reduce costs, and simplify account security across multiple clouds. See how to configure scans, resolve vulnerabilities, and enforce best practices for user authentication, network policies, and more. Take a proactive approach to safeguarding sensitive data and learn how the Trust Center supports Snowflake’s shared security model.

2degrees is a full-service telco, infrastructure owner, and energy retailer connecting people and businesses all around New Zealand. The combined business has approximately 1,600 employees who serve 2 million-plus customers.

Join Sales Engineer Gabriel Mullen as he demonstrates how Snowflake’s Dynamic Tables streamline real-time data pipelines. Discover a simple, declarative approach to ingest data incrementally, maintain cost efficiency, and keep insights fresh. This demo will walk through setting target lag, leveraging incremental refreshes, and automating orchestration, allowing you to power analytics and BI dashboards with minimal overhead and maximum performance.

This month's edition of the Snowflake Snow Report provides information on Snowflake's Data for Breakfast events and the Accelerate 2025 virtual event series. It also provides details on Snowflake Cortex Agents, now in public preview, pandas on Snowflake, Snowflake ML, and much more.

In this demo, we’ll show you how to create a custom Data Metric Function (DMF), associate it with your tables for continuous data quality monitoring, and query the results from a centralized table. Watch to learn how built-in monitoring helps you track critical data objects, identify quality issues, and take quick action to ensure reliable, high-integrity data across your organization.

Learn how Snowflake is expanding its partnership with Microsoft to bring OpenAI’s state-of-the-art models to Snowflake Cortex AI.

Over the past few years, Spark New Zealand has tackled the challenge of creating a strong data foundation by moving all of its data warehouses into Snowflake to create a centralised data platform. Now, explains Pritha Chattopadhyay, Domain Chapter Lead at Spark, this telecommunications leader and digital services provider is diving into artificial intelligence with the help of Snowflake Cortex AI. Tune in to learn about the benefits it provides.

This month's edition of the Snow Report features insights from venture capitalists on starting an AI business in 2025. It also includes new product announcements, such as the integration of Anthropic's Claude 3.5 Sonnet into Cortex AI, as well customer stories, technical tips, and info on upcoming events.

In this segment of Truck Talk, we catch up with Justin Grimme, Manager of Business Intelligence at Shane Company. He stepped into the Snow Mobile to talk about the low cost of transitioning to Snowflake and the many cost- and time-saving benefits his company has realized since making that transition.

In this video, we dive into Projection and Aggregation Policies in Snowflake, two powerful features that help you manage and secure sensitive data while unlocking new use cases. What are Projection and Aggregation Policies? Projection Policies define whether a column can be included in the output of a SQL query. Aggregation Policies enforce that queries against aggregation-constrained tables must group data into minimum-sized chunks to prevent the return of individual records, helping protect privacy.