confluent

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

Apr 2, 2025 By Andrew Jones In Confluent
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.
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integrate

12 Best SQL Server ETL Best Practices

Apr 2, 2025 By Donal Tobin In Integrate
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.
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snowflake

Key Takeaways from Accelerate: How Financial Services and Manufacturing Companies Leverage Data and AI for Measurable ROI

Apr 2, 2025 By Snowflake In Snowflake
For many organizations across industries, the era of experimental AI has given way to the era of practical implementation. Even those companies still testing and evaluating AI solutions are shifting away from the art of the possible to focus more closely on what will soon produce measurable ROI. “It will no longer be enough for your organization to merely use AI to win the approval of company leadership,” says Samuel Lee, Product Marketing Director for Financial Services at Snowflake.
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snowflake

The Apache Iceberg Avalanche: How the Open Table Format Changes the Face of Data Lakes

Apr 2, 2025 By Carlos Nai In Snowflake
Data storage has been evolving, from databases to data warehouses and expansive data lakes, with each architecture responding to different business and data needs. Traditional databases excelled at structured data and transactional workloads but struggled with performance at scale as data volumes grew. The data warehouse solved for performance and scale but, much like the databases that preceded it, relied on proprietary formats to build vertically integrated systems.
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qlik

Risk & Reward: A Balancing Act for Success

Apr 1, 2025 By James Fisher In Qlik
Adopting AI? Risky. Not adopting AI? Riskier… It’s an interesting conundrum illustrating a broader truth: playing it safe is sometimes risky. To succeed, companies need to take smart risks—and those who do often achieve the greatest rewards. But a risk that is smart for one organization may not be as smart for another, so what risk is right for you?
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Cloud Cost Control: Strategies for Scaling Data Operations Without Breaking the Budget on Databricks

Apr 1, 2025 By Unravel Data In Unravel
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 Databricks 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.
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