LIN | Data Science On Google Cloud Platform: Architecting Solutions (2019 EN)

Company: Linkedin Learning
Author: Kumaran Ponnambalam
Full Title: Data Science On Google Cloud Platform: Architecting Solutions
Year: 2019
Language: English
Genre: Educational: Cloud computing
Skill Level: Intermediate
Price: -
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Files: MP4
Time: 01:00:48
Video: AVC, 1280 x 720 (1.778) at 30.000 fps, 200 kbps
Audio: AAC at 128 Kbps, 2 channels, 48.0 KHz



Data science is an application area that's exponentially growing, consuming huge amounts of data and making revolutionary predictions. At the same time, Google Cloud Platform (GCP) is fast tracking the cloud movement by providing cutting-edge tools and options. In this course, learn how to architect data science solutions on GCP and harness the power of these two technologies for your business. Instructor Kumaran Ponnambalam starts off by reviewing technology options available in GCP for executing various data science processes, as well as the benefits and shortcomings of this suite of cloud computing services. He then analyzes different technologies and steps through the architecture building process for various use cases, including customer analytics and real-time mobile couponing.


Topics include:
01. Benefits and shortcomings of GCP
02. Enterprise and multicloud integrations
03. Comparing GCP technology options
04. Outlining solutions for various problems
05. Analyzing use cases and best fits

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