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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Where to Use Data Mining? Data Mining is an important research process.

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Acquisitions on the Horizon in BI and Data Analytics Industry?

Sisense

2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. We have seen industry rollups in which firms create a collection of analytical tools under one brand. The truth always rises to the surface.

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The Benefits of Using a Data Warehouse for Healthcare Data Management

Astera

Finally, the stored data is retrieved at optimal speeds to support efficient analysis and decision-making. Essentially, a data warehouse also acts as a centralized database for storing structured, analysis-ready data and giving a holistic view of this data to decision-makers.

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Modernize Your ETL Processes, Discover Better Insights

Sisense

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

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Keynote Takeaways From Gartner Data & Analytics Summit

Sisense

A big part of our Elastic Data Hub strategy comes from the belief that even the best data warehouses need rapid prototyping environments for BI professionals. I can’t wait to see how the BI industry takes these insights and transforms them in 2019 and in the years to come.

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Actian Datacast: What’s keeping IT from reaching Cloud Data Warehouse Nirvana?

Actian

Following is the third installment of our in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. In our last two blogs we looked at how to fully maximize the value of available data and how to leverage the right data for the right decision-making.

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Actian Datacast: What’s keeping IT from reaching Cloud Data Warehouse Nirvana?

Actian

Following is the third installment of our in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. In our last two blogs we looked at how to fully maximize the value of available data and how to leverage the right data for the right decision-making.