Business Analytics Data Engineering Examples Training 
O'Reilly Media - Ideas
JUNE 4, 2019
Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. Understanding Business Strategy , August 14.
O'Reilly Media - Ideas
JUNE 5, 2019
Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. Understanding Business Strategy , August 14.
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Cloudera
OCTOBER 4, 2023
Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.
Cloudera
FEBRUARY 25, 2021
AMPs enable data scientists to go from an idea to a fully working ML use case in a fraction of the time, with an end-to-end framework for building, deploying, and monitoring business-ready ML applications instantly. . Train a convolutional neural network using only a few labeled data points. Active Learning.
Cloudera
DECEMBER 21, 2020
The company has previously created a business unit tenant in CDP Public Cloud. There is an environment available on either Azure or AWS, using the company AWS account – note: in this blog, all examples are in AWS. Company data exists in the data lake. A Cloudera Data Engineering service exists.
Altexsoft
FEBRUARY 8, 2021
Besides, advanced analytics techniques allow for predicting possible supply disruptions (such as bankruptcy or delivery delays) so that you can take preventive measures. Example of the procurement dashboard interface. Analytics in manufacturing. Production performance dashboard example. Optimizing maintenance.
Cloudera
MAY 27, 2021
It’s important to be conscious of this reality when creating algorithms and training models. Big data algorithms are smart, but not smart enough to solve inherently human problems. An especially problematic example of unintended consequences involves the use of big data in trial sentencing.
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