Data Management and Storage in the Cloud

This course is part of Google Cloud Data Analytics Professional Certificate

Instructor: Google Cloud Training

What you'll learn

  •   Explain how data is defined and structured in BigQuery and Google Cloud Storage.
  •   Identify the key components that make up a data lakehouse architecture.
  •   Explain how partitioning can improve query performance and reduce costs.
  •   Define key components of data governance.

    • Skills you'll gain

  •   Metadata Management
  •   NoSQL
  •   Query Languages
  •   Data Access
  •   Star Schema
  •   Data Lakes
  •   Big Data
  •   Performance Tuning
  •   Data Warehousing
  •   Application Programming Interface (API)
  •   Data Integration
  •   Data Management
  •   Database Management
  •   Data Architecture
  •   Data Governance
  •   Cloud Storage
  •   Data Quality

    • There are 4 modules in this course

    Hi again! This is the second course of the Google Cloud Data Analytics Certificate. Get cozy with the key components of data governance, normalized and star schemas, data catalogs, and data lakehouse architecture.

    Key components of data organization

    Steps to find data

    Techniques to access data

    Explore more from Cloud Computing

    Data Transformation in the Cloud

    Managing Big Data in Clusters and Cloud Storage

    Introduction to Data Analytics in Google Cloud

    The Power of Storytelling: How to Visualize Data in the Cloud

    ©2025  ementorhub.com. All rights reserved