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Coursera

Database, Big Data, and DevOps Services in GCP

LearnKartS via Coursera

Overview

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Looking to harness the full power of Google Cloud Platform? Whether you're a developer, system administrator, or data engineer, you need to know about GCP's environment in order to make cloud solutions that work well, can grow, and are up to date. GCP's main services come to life in this lesson through hands-on demos and real-life use cases. You'll learn how to manage structured data using Cloud SQL and Spanner, as well as how to handle enormous datasets with BigQuery and Dataflow. DevOps on GCP will also be covered, including how to automate deployments using Cloud Build, manage infrastructure with Deployment Manager, and orchestrate containers with Kubernetes Engine. This Google Cloud Professional Architect course goes beyond the basics. You'll design resilient architectures, optimize performance and cost, and sharpen your skills through hands-on labs and real-world scenarios. Ideal for learners with foundational cloud knowledge, this course helps you develop the practical expertise needed to manage data and deploy applications at scale on GCP. By the end, you won't just understand GCP services—you'll be ready to apply them.

Syllabus

  • Database Services
    • This module covers a range of topics including database services such as Cloud SQL, Cloud Spanner, Cloud Datastore, Cloud Firestore, and Cloud Bigtable. By the end, learners will understand various database types, their functionalities, and will be able to utilize different Google Cloud Platform database services effectively.
  • Big Data and DevOps in GCP
    • This module covers a comprehensive range of Big Data Services in Google Cloud Platform (GCP). By the end of this module, Learners will master GCP's Big Data services, implement DevOps for app development, and apply best practices for cloud app monitoring and debugging.

Taught by

LearnKartS

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