Tune in for a free, live virtual hands-on lab...
WhereScape RED 8.6.1 & 3D 8.6.2 are Available
| April 9, 2021
WhereScape RED 8.6.1 and WhereScape 3D 8.6.2 are available to download for WhereScape users. Both have experienced major updates since the last release and we’ll go over the significant features below.
WhereScape RED 8.6.1
The first major release of 2021, WhereScape RED 8.6.1 introduces expanded data source browsing capabilities. It enables any data source type to be browsed and ingested into your data warehouse, as long as your sources have Windows scriptable APIs or command-line tools available. Examples of source types made available by this feature are REST/SOAP Services, JDBC, Cloud-Based Storage, JSON/XML/ARVO, and many more.
Configurations for commonly requested sources will be made available in WhereScape Enablement Packs in the future. Keep an eye out for those as they are released.
In addition to expanded data source browsing capabilities, WhereScape RED 8.6.1 introduces configurable UI components for Column-level metadata. It opens up the storage and retrieval of column-level user-defined metadata such as column collation, GDPR flags, and index inclusion flags.
Additional release information can be found in the WhereScape RED 8.6.1 Release Notes.
WhereScape 3D 8.6.2
WhereScape 3D 8.6.2 has a number of enhancements made since the previous 8.5.2.0 release. This includes a number of Model Conversion Rule improvements, updated Business Vault Design, and more.
The model conversion ruler improvements include improved shared repository performance. The three mains that were improved were Model Conversion, Advanced Copy and Model Deletion. You can prepare a stage model and a load model to prepare for the Data Vault.
For Business Vault, two new wizards were added, one for generating PIT (Point-in-time) tables and one for generating Bridge tables. You can choose which attributes, which hub and links are used to drive the PIT or Bridge Table. Then, WhereScape 3D will guide you through choosing which attribute you want with the desired relationships.
WhereScape 3D’s final update includes PostgreSQL, and updated Java Support libraries. All new installations will be using the latest version of PostgreSQL. You can check out the full updates in the WhereScape 3D 8.6.2 Release Notes.
ETL vs ELT: What are the Differences?
In working with hundreds of data teams through WhereScape’s automation platform, we’ve seen this debate evolve as businesses modernize their infrastructure. Each method, ETL vs ELT, offers a unique pathway for transferring raw data into a warehouse, where it can be...
Dimensional Modeling for Machine Learning
Kimball’s dimensional modeling continues to play a critical role in machine learning and data science outcomes, as outlined in the Kimball Group’s 10 Essential Rules of Dimensional Modeling, a framework still widely applied in modern data workflows. In a recent...
Automating Data Vault in Databricks | WhereScape Recap
Automating Data Vault in Databricks can reduce time-to-value by up to 70%—and that’s why we hosted a recent WhereScape webinar to show exactly how. At WhereScape, modern data teams shouldn't have to choose between agility and governance. That's why we hosted a live...
WhereScape Recap: Highlights From Big Data & AI World London 2025
Big Data & AI World London 2025 brought together thousands of data and AI professionals at ExCeL London—and WhereScape was right in the middle of the action. With automation taking center stage across the industry, it was no surprise that our booth and sessions...
Why WhereScape is the Leading Solution for Healthcare Data Automation
Optimizing Healthcare Data Management with Automation Healthcare organizations manage vast amounts of medical data across EHR systems, billing platforms, clinical research, and operational analytics. However, healthcare data integration remains a challenge due to...
WhereScape Q&A: Your Top Questions Answered on Data Vault and Databricks
During our latest WhereScape webinar, attendees had fantastic questions about Data Vault 2.0, Databricks, and metadata automation. We’ve compiled the best questions and answers to help you understand how WhereScape streamlines data modeling, automation, and...
What is Data Fabric? A Smarter Way for Data Management
As of 2023, the global data fabric market was valued at $2.29 billion and is projected to grow to $12.91 billion by 2032, reflecting the critical role and rapid adoption of data fabric solutions in modern data management. The integration of data fabric solutions...
Want Better AI Data Management? Data Automation is the Answer
Understanding the AI Landscape Imagine losing 6% of your annual revenue—simply due to poor data quality. A recent survey found that underperforming AI models, built using low-quality or inaccurate data, cost companies an average of $406 million annually. Artificial...
RED 10: The ‘Git Friendly’ Revolution for CI/CD in Data Warehousing
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...
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,...
Related Content
ETL vs ELT: What are the Differences?
In working with hundreds of data teams through WhereScape’s automation platform, we’ve seen this debate evolve as businesses modernize their infrastructure. Each method, ETL vs ELT, offers a unique pathway for transferring raw data into a warehouse, where it can be...
Dimensional Modeling for Machine Learning
Kimball’s dimensional modeling continues to play a critical role in machine learning and data science outcomes, as outlined in the Kimball Group’s 10 Essential Rules of Dimensional Modeling, a framework still widely applied in modern data workflows. In a recent...
Automating Data Vault in Databricks | WhereScape Recap
Automating Data Vault in Databricks can reduce time-to-value by up to 70%—and that’s why we hosted a recent WhereScape webinar to show exactly how. At WhereScape, modern data teams shouldn't have to choose between agility and governance. That's why we hosted a live...
ETL vs ELT: What are the Differences?
In working with hundreds of data teams through WhereScape’s automation platform, we’ve seen this debate evolve as businesses modernize their infrastructure. Each method, ETL vs ELT, offers a unique pathway for transferring raw data into a warehouse, where it can be...
Dimensional Modeling for Machine Learning
Kimball’s dimensional modeling continues to play a critical role in machine learning and data science outcomes, as outlined in the Kimball Group’s 10 Essential Rules of Dimensional Modeling, a framework still widely applied in modern data workflows. In a recent...
Automating Data Vault in Databricks | WhereScape Recap
Automating Data Vault in Databricks can reduce time-to-value by up to 70%—and that’s why we hosted a recent WhereScape webinar to show exactly how. At WhereScape, modern data teams shouldn't have to choose between agility and governance. That's why we hosted a live...
WhereScape Recap: Highlights From Big Data & AI World London 2025
Big Data & AI World London 2025 brought together thousands of data and AI professionals at ExCeL London—and WhereScape was right in the middle of the action. With automation taking center stage across the industry, it was no surprise that our booth and sessions...