In today’s competitive landscape, data is not just a resource but it is the engine of strategic growth. For businesses to thrive, they must transform raw, disparate data into a reliable, single source of truth. This is the core mission of data engineering, and at the heart of this transformation lies the Data Build Tool
We all want fast, accurate, and cost-effective data insights. But when it comes to updating your large tables of historical data, the way you choose to add new information can drastically impact your bottom line and reporting speed. Imagine your data warehouse is a detailed customer ledger that tracks every single sale, transaction, and interaction.
The release of Snowflake Intelligence marks a powerful evolution in how enterprises turn data into decisions. Building on foundational Snowflake capabilities like Cortex Analyst and Cortex Search, Snowflake Intelligence enables users to query data in natural language, uncover insights instantly, and build AI-driven applications — all within a secure, governed environment. But here’s the truth:
AI projects fail when data quality is poor and siloed. At its core, the Snowflake platform solves this by giving access to unified insights with governed and secure data. Starting November 4, Snowflake will officially launch Snowflake Intelligence, marking one of the most significant advancements yet in the evolution of the AI Data Cloud. Snowflake
When I first started learning about data engineering, I’ll be honest — I was overwhelmed. Everyone was throwing around terms like “pipelines,” “modeling,” and “data lakes,” and I was just trying to figure out what went where. However, the more I explored, the more one thing became clear: the impact of a data vault is
Migrating from legacy data warehouses to a modern cloud data platform can be daunting. The process is often complex, time-consuming, and resource-intensive — requiring teams to rewrite thousands of lines of SQL code and migrate business-critical assets without disrupting operations. Snowflake’s SnowConvert AI is designed to change that. Powered by Snowflake’s Cortex AI, this new
The Snowflake Jaipur User Group recently gathered for an exciting recap of the latest innovations announced at Snowflake Summit 2025. The focus? How Snowflake’s new AI features are making it easier than ever for businesses to unlock the value of their data. AI & ML tools driving powerful business results At the heart of the
Snowflake has been busy pushing the boundaries of what’s possible with data, and the latest updates deliver meaningful advancements for customers seeking more agility, simplicity, and intelligence across their data cloud. At Atrium, we’re excited to share the highlights — and why they matter — for data leaders looking to do more with Snowflake. Smarter,
I just got back from this year’s Snowflake Summit, and the energy was as high as ever. Keynotes were packed, booths buzzing, and the Porsche giveaway had people genuinely wondering if they might drive home with more than swag. Unsurprisingly, “AI” was the word of the week, but the real story was how large enterprises
Over the last few weeks, it’s become clear that the return of tariffs and broader geopolitical shifts is more than just political noise — it’s fundamentally reshaping how global supply chains operate. From rising raw material and manufacturing costs to volatile logistics and unpredictable demand, we’re entering a period of increased variability for businesses that