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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Data Virtualization in the Cloud

Data Virtualization in the Cloud

The data landscape is constantly changing. Every day, we deal with tons of data in different formats from different applications, and it’s stored both on-premises and in the cloud. In this kind of a landscape, how can we gain insights…

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The Virtual Data Lake for the Business User

In the previous article we reviewed the architectural elements of the virtual data lake, and will discuss why a virtual data lake can play a key role for the data scientist. In this post, we will review why it plays…

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