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Big Data for Manufacturing Case Study: Omneo

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This article is the fifth and last in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

Adopting Big Data for Manufacturing

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This article is the fourth in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

Big Data Technology for Manufacturing

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This article is the third in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

Common Big Data Pain Points for Manufacturers

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This article is the second in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

insideBIGDATA Guide to Manufacturing

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In this new insideBIGDATA Guide to Manufacturing, the goal is to provide enterprise thought leaders in the manufacturing sector ways to obtain greater value from their company’s data assets through use of big data technology.

Databricks and Intel Collaborate to Optimize Apache Spark-Based Analytics for Intel® Architecture

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Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark with its flagship product, Databricks Cloud, today announced plans to collaborate with Intel to optimize Spark real-time analytic capabilities for Intel® architecture.

Ask a Data Scientist: Ensemble Methods

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks about ensemble methods and how you use them.

Ask a Data Scientist: Confounding Variables

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks for an explanation of confounding variables and why they’re important in data science projects.

Ask a Data Scientist: Storytelling With Data

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks about the importance of “storytelling” in data science.

Ask a Data Scientist: Data Leakage

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel data scientist. This week’s question is from a reader who asks for an explanation of data leakage.