Google Cloud Big Data and Machine Learning

IT professionals including managers, engineers, and developers evaluating or implementing application environments on Google Cloud Platform

Prerequisite
None

Expected Duration
72 minutes

Description
Google Cloud Storage is unified object storage for developers and enterprises, from live data serving to data analytics/ML to data archival. In this course, you’ll learn about the fundamentals of the Google Cloud Datastore and other storage options along with the basics of Big Data and Machine Learning with Google Cloud Platform.

Objective

Google Cloud Datastore

  • start the course
  • identify the purpose and characteristics of Google Cloud Datastore
  • define various datastore terms including kind, entity, property, keys, and entity groups
  • define development libraries, queries, and indexes
  • deploy an App Engine application backed by Google Datastore

Storage Options

  • identify the features of Google Cloud Storage
  • identify the features of Google Cloud SQL
  • identify the features of Google Cloud Bigtable
  • create a Google Cloud Storage bucket and use it to store images
  • view objects using the Cloud Storage Browser
  • identify considerations for deployment of Cloud Storage required Applications

Big Data and Machine Learning

  • identify characteristics and purpose of Google Cloud Big Data and Machine Learning platforms
  • recognize loading a CSV File Into a BigQuery Table
  • recognize querying data using the CLI
  • recognize querying data using BigQuery Web UI
  • recognize querying data using BigQuery Shell
  • perform interactive queries using BigQuery

Practice: GCP Storage

  • review the basic features of datastore, storage options, big data, and machine learning

MONTHLY SUBSCRIPTION

$129/month
 

ANNUAL SUBSCRIPTION

$1295/year

Multi-license discounts available for Annual and Monthly subscriptions.