How to Manage Many Disparate Data Sources Securely at Scale

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#HPEinfluencer #HPEdiscover #AR #VR #InternetofThings #Edge #EdgeComputing #IoT #IIoT

Prasad Adem & DK Sharma talk about how to manage many disparate data sources securely at scale.

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My name is Ronald Van Loon and I would like to invite you to join me on the journey through the intelligent world and have a deeper look into technological development that is shaping a world and transforming business.

As a recognized expert and thought leader in this field, I work with data-driven companies to generate business value so that they may meet and exceed goal after goal.

I have been recognized for my work in the field of digital transformation by such publications and organizations as Onalytica, Dataconomy, and Klout. In addition to these recognitions, I am also an author for a number of leading big data websites, including The Guardian, The Datafloq, and Data Science Central, and I regularly speak at renowned events and conferences.

How I Help Companies Generate Business Value

I write relevant articles & host webinars on Artificial Intelligence, Machine Learning, big data, IoT, data science, analytics and other digital transformation topics, which I distribute to an audience of over 100,000 social media fans and followers.

By learning how to make the best use of the data your company has, and by becoming certified, you can boost your career!

As the director of Adversitement, I work to help data-driven businesses become more successful.

Stay Up to Date on the Latest News and Insights in Data Transformation

➨Follow me on Twitter @Ronald_vanLoon
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Nice video very nice knolowdge is given in every video

yogeshbhatia
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Thanks for making this information easy to understand & digest.

nancyp
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Data collecting and reporting is a big responsibility. Definitely seeking accuracy in the end.

DanaMatthews
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Thanks for this video it helps people a lot. Keep posting such videos sir.

shanitiwari
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Collecting, organizing, and protecting data is a huge challenge.

TheNthDoctor
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How to have a high degree of trust on data prediction models that that collect data from disparate data sources?

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