GCP Big Data and Security

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