GCP Big Data and Security


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level


Overview/Description
Complex operations require more managed and secure systems. This course will explore the use of Cloud Spanner and Bigtable to create more complex data service configurations and managing secure data infrastructure.

Target Audience
Data professionals who are responsible for provisioning and optimizing big data solutions, and data enthusiasts getting started with Google Cloud Platform

Prerequisites
None

Expected Duration (hours)
1.2

Lesson Objectives

GCP Big Data and Security

  • start the course
  • describe Cloud Spanner and its purpose in GCP
  • describe Cloud Spanner replication and Instances
  • describe Cloud Spanner schema, datatypes, and best practices
  • describe GCP Bigtable
  • specify the steps to design a Bigtable schema
  • demonstrate the process of creating a Bigtable instance on GCP
  • describe the cloud platform security model
  • describe the use of Cloud Identity and Access Management
  • describe the security layers on GCP
  • define the security standards Google works to comply with
  • describe the use of Big Data and how to keep data secure on GCP

    • Course Number:
    cl_gcde_a15_it_enus

    Expertise Level
    Intermediate