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DSC Webinar Series: How Bank of America Uses Data Prep for Faster Reporting

Knowledge workers typically a) get information b) perform logic on that information and c) finally reach a conclusion and can take action. The time to just clean and prepare data for analysis can cause significant bottlenecks and delay the ability…
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DSC Webinar Series: Train & Tune Your Computer Vision Models at Scale

Whether you are training a self-driving car, detecting animals with drones, or identifying car damage for insurance claims, the steps needed to effectively train a computer vision model at scale remain the same. In this latest Data Science Central…
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DSC Webinar Series: 20 Predictions for 2020 from AI to Data Management

AI, machine learning, cloud, self-service, data governance, etc…there is no shortage of buzzwords in data today. Every organization is seeking to outpace their competition by leveraging data to drive differentiation for their business. To win this…
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DSC Webinar Series: Enterprise-ready Data Science and ML with Python

Many Data Scientists spend much of their time on laptops, working with familiar tools like Jupyter and Conda, on data that fits on their machine. In this latest Data Science Central webinar we will discuss a laptop-like experience for Data Science…
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Tim Matteson's Blog

Enterprise AI Landscape - Infographic

Posted on April 26, 2017 at 1:04pm 3 Comments

View the New DSC Classified Section

Posted on February 27, 2017 at 1:00pm 0 Comments

Here are just a few featured listings in our new section:

View all listings here. …


Impala vs Hive: Difference between Sql on Hadoop components

Posted on January 6, 2016 at 3:00pm 0 Comments

This article is no longer available. We apologize for the inconvenience. To read more about Impala versus Hive, click here for Impala, and click here for Hive.

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At 4:12pm on January 9, 2012, Ralph Smith said…

Thanks Tim.

I followed up w/ two of the videos you had posted.  Thanks!




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