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Cloud Computing for Data Analysis
book

Cloud Computing for Data Analysis

by Noah Gift, Alfredo Deza
December 2020
Intermediate to advanced
216 pages
4h 17m
English
Pragmatic AI Labs
Content preview from Cloud Computing for Data Analysis
128 Chapter 5: Cloud Storage
Velocity
Another critical problem in Big Data is the velocity of the data. Some questions to include the
following examples. Are data streams wrien at 10’s of thousands of records per second? Are there
many streams of data wrien at once? Does the velocity of the data cause performance problems
on the nodes collecting the data?
Volume
Is the actual size of the data more extensive than what a workstation can handle? Perhaps your
laptop cannot load a CSV file into the Python pandas paage. is problem could be Big Data, i.e.,
it doesn’t work on your laptop. One Petabyte is Big Data, and 100 GB could be big data depending
on its processing.
Batch vs. Streaming Data and Machine Learning
One critical tenical concern is Bat
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Publisher Resources

ISBN: 20201229PAIMLOtherPublisher Website