Data Virtualization and Data Science

Data Virtualization and Data Science

If we look at a typical data science lifecycle, many of its stages have more to do with data than science. Before data scientists can begin their work regarding data science, they often must begin by: Finding the right data…

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3 Steps to Faster Insights in Data Analytics

3 Steps to Faster Insights in Data Analytics

In recent years, we have seen wide adoption of data analytics. However, most organizations continue to find it challenging to quickly yield actionable insights. Some issues that have been most often cited for this include: Poor data quality: While preparing…

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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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