Cloud Cost Control: Strategies for Scaling Data Operations Without Breaking the Budget on Snowflake

As data operations grow, so do cloud costs—but it doesn't have to be a one-to-one relationship. Join us for this enlightening session in our Weekly Walkthrough series, "Controlling Cloud Costs," where we'll explore how to scale your Snowflake operations efficiently. You'll gain invaluable insights into balancing performance and cost for scaling your data operations. With Unravel's Data Actionability Platform, you can take immediate, impactful action for transformative results in cost management.

AI-Driven ABM: Scaling Precision and Impact for B2B Growth

We’ve seen how Snowflake AI tools are transforming outcomes for our customers. From saving 4,000 hours a year on manual email intake to treating more patients in emergency rooms to saving 75% of costs, AI in Snowflake is making a real impact on businesses around the world. That same transformative power is at work within Snowflake, too.

Using Set Analysis P() to Improve Your Marketing Spend

On the Next Do More with Qlik Tips and Tricks edition: Using Set Analysis P() to improve your marketing spend. By focusing only on those customers tied to key product purchases, you can better analyze what’s driving real revenue—and adjust your marketing budget accordingly. Target smarter, spend better.

Breaking down enterprise data silos with Moin Haque

How do enterprise leaders navigate fractured data landscapes and integrate AI into business strategies? On this episode of The Fivetran Data Podcast, Moin Haque, Head of Enterprise Data, Analytics & AI at International Flavors and Fragrances Inc. (IFF), shares actionable insights into data federation and innovation with host Kelly Kohlleffel. Key highlights.

Shifting Left: How Data Contracts Underpin People, Processes, and Technology

The divide between operational and analytical systems has long resulted in data inconsistencies, unreliability, and redundancies. Without a single, unified source of truth, teams interpret information in their own ways—often after the fact. This can lead to downstream data discrepancies, issues, and distrust. Meanwhile, changes to upstream data structures create ripple effects, breaking downstream systems and requiring manual intervention to fix issues.

12 Best SQL Server ETL Best Practices

In a world where data-driven decisions shape the future of every business, ETL (Extract, Transform, Load) processes are the backbone of operational intelligence. For organizations using Microsoft SQL Server, optimizing ETL pipelines isn't just a technical choice—it’s a strategic imperative. With over two decades in the ETL trenches, I’ve seen what works, what fails, and what silently erodes performance behind the scenes.