Analytics Deep Learning Internet of Things Unstructured Data 
Smart Data Collective
SEPTEMBER 23, 2020
Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.
datapine
NOVEMBER 19, 2019
Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. Internet of Things. Connected Retail.
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