Aligning Data Virtualization, Streaming, and ETL

Aligning Data Virtualization, Streaming, and ETL

What do data virtualization, streaming, and extract, transform, and load (ETL) processes have in common? They all deliver data from disparate sources to the business intelligence (BI), analytics, and other applications used by businesspeople, data scientists, and analysts. Like utilities,…

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Streamlining Data Virtualization with AI and ML

Streamlining Data Virtualization with AI and ML

These days, artificial intelligence (AI) and machine learning (ML) seem to be everywhere around us, answering questions, designing components, and even driving cars. Can they also help with data virtualization? For sure. But first, let’s make sure that when we…

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Autodesk Transforms, by Leveraging Data Virtualization

Autodesk Transforms, by Leveraging Data Virtualization

Change is sometimes difficult to embrace, especially when it involves downtime. Autodesk, makers of world-renowned 3D design, engineering, and entertainment software, wanted to change from perpetual licensing to subscription-based licensing, but knew that this change would likely impact the entire…

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Virtualizing the Data Warehouse

Virtualizing the Data Warehouse

2018 is exactly thirty years since I published the first data warehouse architecture. The core concepts of the architecture remain strong and viable. However, the evolution of both business needs and technology solutions over the intervening decades has led to…

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Data-driven

The Key to Becoming Data-Driven in Six Weeks

We live in the world of data, which is “ahem” a few zettabytes of nuggets floating around us constantly with growth every second. This data flow has increased our appetite for accessing information whether it is connected or not connected…

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