Module Review (Quiz-1)

Module Review >> Google Cloud Platform Big Data and Machine Learning Fundamentals

Migrating existing on-premise workloads to the cloud

Analyzing large datasets at scale

Building containerized applications for web development

Building streaming data pipelines

Applying machine learning to your datasets

A defined Organization

Folders for teams and/or products

A defined access control policy with Cloud IAM

A Kubernetes or Hadoop cluster for each project

Google Cloud will automatically manage and curate your content and access policies to be safe for the public

Google Cloud will secure the physical hardware that is running your applications and infrastructure

Google Cloud has tools like Cloud IAM that help you administer and set company-wide security policies

Google Cloud will manage audit logging of access and use of resources in your account

Practice with the datasets in the Google Cloud Public Datasets program

Find other public datasets online and upload them into BigQuery

Work to create your own dataset and then upload it into BigQuery for analysis

One of ~50 choices in terms of CPU and memory

Expensive to create and teardown

Pre-installed with all the software packages you might ever need.

Allocated on demand, and you pay for the time that they are up.

Module Review >> Google Cloud Platform Big Data and Machine Learning Fundamentals