No single data automation tool can meet every data need. Some excel at real-time operational flows, others at lifecycle automation, others at democratizing analytics or regulatory stewardship. The right choice is as much about features as it is about fit for teams,...
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WhereScape at TDWI Munich: Automate Data Vault on Databricks
WhereScape at TDWI Munich 2025: Automate a Full Data Vault on Databricks in Just 45 Minutes June 24–26, 2025 | MOC Munich, Germany As data complexity grows and business demands accelerate, scalable and governed data architectures are no longer optional—they're...
What Is OLAP? Online Analytical Processing for Fast, Multidimensional Analysis
🎧 Prefer to listen on the go? Grab the podcast version of this article now Fill in the form to access the computer generated podcast version of this blog post. Streamline your data analysis process with OLAP for better business intelligence....
Build AI-Ready Data: Visit WhereScape at AI & Big Data Expo
June 4–5, 2025 | Booth 202 | Santa Clara Convention Center As organizations scale their artificial intelligence and analytics capabilities, the demand for timely, accurate, governed, and AI-ready data has become a strategic priority. According to Gartner, through...
Automating Star Schemas in Microsoft Fabric: A Webinar Recap
From Data Discovery to Deployment—All in One Workflow According to Gartner, data professionals dedicate more than half of their time, 56%, to operational tasks, leaving only 22% for strategic work that drives innovation. This imbalance is especially apparent when...
What is a Data Model? How Structured Data Drives AI Success
🎧 Prefer to listen on the go? Grab the podcast version of this article now Fill in the form to access the computer generated podcast version of this blog post. What is a data model? According to the 2020 State of Data Science report by Anaconda,...
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...








