Big Data Journey: Dataquake, Human Data Exhausts, and Now Machine Learning?
Update: 2020-07-21
Description
The buzz: Big data is a familiar term. Data exhaust is less widely known, tends to be raw, unstructured, and even bigger. In some ways it's an evil twin brother. (computerworld.com)
While humans began encountering large volumes of data from 1932, NASA coined the phrase “Big Data” in 1997. Today's “dataquake” upon us is too big to ignore. We and everything around us are “data exhausts”, with 10B+ devices interconnected. The number of connections per second will probably be unmeasurable with 5G. Decades of data, which is now training machine learning, plus new data – from health devices, trees, livestock, gas pumps, retail shelves, smart clothing, manufacturing devices, bridges, smart farms – will overhaul the data processing infrastructure. Petabytes of data vs. terabytes of data will become the norm.
We’ll ask Shyam V Nath at Oracle, Aaron Werman at Techwave and Gerard Das at SAP for their insights on Big Data Journey: Dataquake, Human Data Exhausts, and Now Machine Learning?
While humans began encountering large volumes of data from 1932, NASA coined the phrase “Big Data” in 1997. Today's “dataquake” upon us is too big to ignore. We and everything around us are “data exhausts”, with 10B+ devices interconnected. The number of connections per second will probably be unmeasurable with 5G. Decades of data, which is now training machine learning, plus new data – from health devices, trees, livestock, gas pumps, retail shelves, smart clothing, manufacturing devices, bridges, smart farms – will overhaul the data processing infrastructure. Petabytes of data vs. terabytes of data will become the norm.
We’ll ask Shyam V Nath at Oracle, Aaron Werman at Techwave and Gerard Das at SAP for their insights on Big Data Journey: Dataquake, Human Data Exhausts, and Now Machine Learning?
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