For years, WhereScape RED has been the engine that powers rapidly built and high performance data warehouses. And while RED 10 has quietly empowered organizations since its launch in 2023, our latest 10.4 release is a game changer. We have dubbed this landmark update...
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The Assembly Line for Your Data: How Automation Transforms Data Projects
Imagine an old-fashioned assembly line. Workers pass components down the line, each adding their own piece. It’s repetitive, prone to errors, and can grind to a halt if one person falls behind. Now, picture the modern version—robots assembling products with speed,...
The Role of Clean Data in AI Success: Avoiding “Garbage In, Garbage Out”
Co-authored by infoVia and WhereScape Artificial Intelligence (AI) is transforming industries across the globe, enabling organizations to uncover insights, automate processes, and make smarter decisions. However, one universal truth remains: the effectiveness of any...
Mastering Data Warehouse Design, Optimization, And Lifecycle
Building a data warehouse can be tough for many businesses. A data warehouse centralizes data from many sources. This article will teach you how to master data warehouse design, optimization, and lifecycle. Start improving your data strategy today. Key Takeaways Use...
Unveiling WhereScape 3D 9.0.5: Enhanced Flexibility and Compatibility
The latest release of WhereScape 3D is here, and version 9.0.5 brings a host of updates designed to make your data management work faster and smoother. Let’s dive into the new features... Online Documentation for Enhanced Accessibility With the user guide now hosted...
What Makes A Really Great Data Model: Essential Criteria And Best Practices
By 2025, over 75% of data models will integrate AI—transforming the way businesses operate. But here's the catch: only those with robust, well-designed data models will reap the benefits. Is your data model ready for the AI revolution?Understanding what makes a great...
Guide to Data Quality: Ensuring Accuracy and Consistency in Your Organization
Why Data Quality Matters Data is only as useful as it is accurate and complete. No matter how many analysis models and data review routines you put into place, your organization can’t truly make data-driven decisions without accurate, relevant, complete, and...
Common Data Quality Challenges and How to Overcome Them
The Importance of Maintaining Data Quality Improving data quality is a top priority for many forward-thinking organizations, and for good reason. Any company making decisions based on data should also invest time and resources into ensuring high data quality. Data...
Mastering Data Vault Modeling: Architecture, Best Practices, and Essential Tools
What is Data Vault Modeling? To effectively manage large-scale and complex data environments, many data teams turn to Data Vault modeling. This technique provides a highly scalable and flexible architecture that can easily adapt to the growing and changing needs of an...