Database, Big Data, and DevOps Services in GCP

This course is part of GCP Professional Architect Specialization

Instructor: LearnKartS

What you'll learn

  •   Understand different types of databases available in GCP, including Cloud SQL, Cloud Spanner, Cloud Datastore, and Cloud Firestore.
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  •   Learn about Big Data services, BigQuery for data warehousing and analytics, and Data Proc for managing clusters and running Apache Hadoop.
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  •   Explore DevOps practices using tools like Cloud Source Repository for code management, Cloud Build for continuous integration and delivery.
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  •   Gain insights into Cloud Monitoring for creating dashboards and setting up notifications, Cloud Logging for collecting and analyzing log data.
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  • Skills you'll gain

  •   Databases
  •   Big Data
  •   Google Cloud Platform
  •   NoSQL
  •   Data Storage
  •   Scalability
  •   Relational Databases
  •   Kubernetes
  •   Cloud Applications
  •   Performance Tuning
  •   Real Time Data
  •   Site Reliability Engineering
  •   Dataflow
  •   Data Processing
  •   CI/CD
  •   DevOps
  • There are 2 modules in this course

    This course is designed to equip learners with comprehensive knowledge and practical skills in leveraging GCP's database, big data, and DevOps services. Whether you're a developer, system administrator, or data engineer, this course will delve into the essential tools and techniques offered by GCP to manage and optimize data storage, processing, and deployment workflows. Prerequisites include familiarity with cloud computing concepts and basic understanding of GCP services. By the end of this course, you will: - Gain a deep understanding of GCP's database services, including Cloud SQL, Cloud Spanner, and Firestore, and their use cases. - Master big data processing and analytics using GCP tools such as BigQuery, Dataflow, and Dataproc. Implement effective DevOps practices on GCP, integrating tools like Cloud Build, Cloud Deployment Manager, and Kubernetes Engine. - Design resilient and scalable architectures for databases and big data solutions on GCP. - Optimize performance and cost-efficiency in managing large-scale data operations on GCP. - Develop hands-on skills through practical labs, exercises, and real-world scenarios. - Prepare for Google Cloud certifications related to database management, big data, or DevOps. This course is designed with comprehensive video lectures, hands-on demos, and practical assignments to ensure a thorough understanding and practical application of GCP's database, big data, and DevOps services.

    Big Data and DevOps in GCP

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