A lot of the buzz around AI focuses on its future potential. And we get it — we’re talking about a transformative technology that presents seemingly limitless possibilities. But an important aspect of this world-changing tech story that gets lost in the hype is understanding exactly what AI solutions are available for you and your team to employ right now, today.

This article explores how integrating customer data across various platforms can significantly enhance the customer experience. It discusses practical methods and the benefits of a unified data approach.

We previously announced Snowflake’s Unistore workload, which continues Snowflake’s legacy of breaking down data silos by uniting transactional and analytical data in a consistent and governed platform. Today, we are pleased to announce that Hybrid Tables — the core feature powering Unistore — is in public preview in select AWS regions. Hybrid Tables is a new table type that enables transactional use cases within Snowflake with fast, high-concurrency point operations.

Change data capture (CDC) has long been one of the most popular, reliable, and quickest ways to connect your database tables into data streams. It is a powerful pattern and one of the most common and easiest ways to bootstrap data into Apache Kafka®. But it comes with a relatively significant drawback—it exposes your database’s internal data model to the downstream world.

Integration as a Service (IaaS) has emerged in recent years to become a pivotal force in 2024. This cloud-based solution is redefining how businesses operate in the digital landscape. It represents a significant leap in the integration of software applications, platforms, and services by streamlining processes that were once seen as cumbersome and time-consuming.

Put simply, data literacy is the ability to translate data into insights, a capability that every technology buyer is seeking this year. The importance of data has been well established and technology leaders understand the value sitting dormant in their ever-growing databases. When researching the right application for their teams, features that boost data literacy will be front of mind for your buyers.

Data is often described with cliches like, it's "the new oil" or “the new air.” No matter how you describe it, there is no denying the increasing importance of data monetization across every industry. Forward-thinking organizations recognize data apps as both a revenue stream and a differentiated service to increase customer loyalty.

Learn how to use ‘insert into snowflake’ to add data to your Snowflake tables efficiently. This guide covers essential syntax, provides clear examples, and shares practical tips to enhance data insertion. Whether single or multiple rows, structured or JSON data, you’ll gain the knowledge to perform ‘insert into’ operations with confidence.