This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP. Note: •Google services are currently unavailable in China.
Cloud Pub/Sub and Cloud Datalab
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Habilidades que você aprenderá
Google Compute Engine, Google App Engine (GAE), Google Cloud Platform, Cloud Computing
Avaliações
YY
Jun 02, 2017
This course is useful for those who wants to explorer google cloud platform\n\ne.g: what database engine should I use?\n\nwhat is more cost efficient for our application, Compute engine or App engine
SV
Feb 15, 2018
This was one of the best learning I had. Very simple and easy way to do the labs and understand the concepts. Even though the content is around fundamentals, it helps to remember the terminologies.
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Big Data and Machine Learning in the Cloud
GCP's big-data and machine learning offerings are intended to help customers get the most out of data. These tools are intended to be simple and practical to embed in your applications. This module describes the available big-data and machine learning services and explains the usefulness of each.
Ministrado por
Google Cloud Training