Deeper through GCP Analytics and Scaling


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


Overview/Description
The big data industry is getting bigger, and GCP has several management tools designed for common use cases. In this course, you'll be introduced to common concepts and use cases, including analytics tools and operations.

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)
0.8

Lesson Objectives

Deeper through GCP Analytics and Scaling

  • start the course
  • recognize the process for importing data into Cloud SQL
  • work with Apache Hadoop and GCP to manage Hadoop clusters
  • work with the cloud service to run Apache Spark clusters
  • use SparkML for machine learning
  • recognize best practices in big data analysis
  • recall concepts related to the use of GCP Cloud Data Lab
  • describe BigQuery and its benefits in GCP
  • identify datasets with machine learning in GCP
  • recognize machine learning concepts with TensorFlow operations
  • use various machine learning operations to enhance data analysis in common use cases

    • Course Number:
    cl_gcde_a03_it_enus

    Expertise Level
    Intermediate