How Do You Design New Data Architectures?

Organizations are rethinking their current data architectures. Unfortunately, the majority considers it a challenge. Obviously, one of the reasons is that they don’t do this every day. Also, insights about how to design them has changed over time. This article…

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Data Virtualization is the CDO’s Best Friend

Data Virtualization is the CDO’s Best Friend

According to CIO magazine, the first chief data officer (CDO) was employed at Capital One in 2002,  and since then the role has become widespread, driven by the recent explosion of big data. The CDO role has a variety of…

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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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Comparing ETL with Data Virtualization Makes No Sense

Comparing ETL with Data Virtualization Makes No Sense

Some still think it makes sense to compare ETL tools with data virtualization servers. Let me be clear, it really doesn’t. Unquestionably, both tool categories belong to the class of data integration tools, like data replication tools, data wrangling tools,…

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Barry Devlin real-time data

Gaining Real Time Insight

Allow me to introduce the (fictitious) Advanced Banking Corporation, or ABC for short. It may be advanced in name, but its IT systems are anything but. ABC will be our constant companion as we explore all three scenarios for data…

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