• Online, Self-Paced

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.

Learning Objectives

Further Analysis Concepts

  • start the course
  • recognize the process for importing data into Cloud SQL

Hadoop and GCP

  • 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

Analysis at Scale

  • 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

Practice: Analysis and Machine Learning

  • use various machine learning operations to enhance data analysis in common use cases

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Systems Architecture
  • Systems Development

Specialty Areas have been removed from the NICE Framework. With the recent release of the new NICE Framework data, updates to courses are underway. Until this course can be updated, this historical information is provided to give better context as to how it can help you with your cybersecurity goals.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.