Systems | Development | Analytics | API | Testing

November 2024

What's New: Maximizing The Benefits Of The Snowflake Native App Framework

This BUILD 2024 session dives into the key capabilities of the Snowflake Native App Framework. Discover the most efficient way to find, procure, and use SaaS applications through Snowflake’s expanding ecosystem of Snowflake Native Apps, and see how these apps extend Snowflake’s capabilities with graph databases, generative AI, industry-specific models, and more.

What's New: Conversational Applications And NLP With Cortex AI

Get a comprehensive overview of all the new features and services in Cortex AI that enable data and engineering teams to operationalize natural language processing pipelines and chat with your data applications.This BUILD 2024 session, led by the Cortex AI Product Managers, covers the latest LLMs, search, and text-to-SQL enhancements.

What's New: Supercharge Users With The Snowflake Horizon Catalog

To accelerate development, organizations need to supercharge more users to immediately discover and collaborate on relevant data, apps, and models. At the same time, organizations must ensure the platform they work on is secure and that the right people have the right access. Protecting sensitive and/or Personally Identifiable Information (PII) is critical. The Snowflake Horizon Catalog provides built-in governance and discovery for the AI Data Cloud to make all of this easy.

What's New: New Apache Iceberg Features Ease the Pain Of Managing Your Data Lake

Are you struggling with the challenges of managing your data lake as you strive to address issues ranging from security headaches to troubleshooting complex pipelines? This BUILD 2024 session addresses those challenges with a look at how Snowflake makes it easier to onboard Apache Iceberg into your data lake. The session dives into new features that simplify security, streamline data ingestion and transformation, and enhance integration with your existing tools. You’ll also see how Snowflake provides enterprise-grade redundancy to the data lakehouse architecture, making it easier for teams to work together globally.

9 Best Practices for Transitioning From On-Premises to Cloud with Snowflake

On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. This article highlights nine key areas to watch out for and plan around in order to accelerate a smooth transition to the cloud.

Snowflake Will Automatically Disable Leaked Passwords Detected on the Dark Web

Security has been an integral part of Snowflake’s platform since the company was founded. Through the security capabilities of Snowflake Horizon Catalog, we empower security admins and CISO’s to better protect their environments. As part of our continued efforts to help customers secure their accounts, and in line with our pledge to align with CISA’s Secure By Design principles, we are announcing the general availability of Snowflake Leaked Password Protection (LPP).

BUILD 2024 Opening Keynote: Building In The AI Data Cloud

Watch Snowflake CEO Sridhar Ramaswamy and Christian Kleinerman, EVP of Product, on stage to kick off this year's BUILD Conference. They are also joined by and Dash Desai, Lead Developer Advocate, Sri Chintala, Senior Product Manager, and Polita Paulus, Principal Software Engineer, to showcase exciting new product capabilities in action through a series of demos. Join us to see the vision for the AI Data Cloud and how you can leverage it to innovate today.

Unmatched Collaboration for Data and AI Products: What's New from Snowflake

Getting different teams, business units and even companies to work together toward a common goal not only maximizes efficiency, but drives innovation. Effective collaboration on data and AI has never been more closely tied to success. At Snowflake, we’re removing the barriers that prevent productive cooperation while building the connections to make working together easier than ever.

Snowflake's Unistore Unifies Transactional and Analytical Data with the General Availability of Hybrid Tables

Today we're thrilled to announce the general availability of Hybrid Tables in all AWS commercial regions. As part of Snowflake Unistore, Hybrid Tables unify both transactional and analytical workloads on a single database to simplify architectures as well as governance and security. Since launching the public preview of Hybrid Tables this year, we have seen adoption across industries from customers such as Siemens, Panther, Mutual of Omaha, PowerSchool, MarketWise and Project Lead The Way.

Trends and Takeaways from Banking and Payments' Biggest Event of the Year

This fall, thousands of leaders in the financial services industry gathered at the annual Money 20/20 conference to talk trends in payments, compliance, fraud reduction, treasury and transactions and more. Conversations centered on the theme of “Human x Machine,” and while AI was a focus, there were plenty of other insights around real-time data analytics, security considerations and customer strategies that are guiding the future of money.

Build Enterprise-Grade AI Faster with New Multimodal Support, Enhanced Observability and More

At Snowflake BUILD, we are introducing powerful new features designed to accelerate building and deploying generative AI applications on enterprise data, while helping you ensure trust and safety. These new tools streamline workflows, deliver insights at scale, and get AI apps into production quickly. Customers such as Skai have used these capabilities to bring their generative AI solution into production in just two days instead of months.

Snowflake Simplifies Data Architecture, Data Governance and Security to Accelerate Value Across All Workloads

It’s easy these days for an organization’s data infrastructure to begin looking like a maze, with an accumulation of point solutions here and there. While some businesses find ways to stitch together many tools with complex pipelines, wouldn’t it be better if you could remove some of the steps? What if you could streamline your efforts while still building an architecture that best fits your business and technology needs?