Course Overview:

This course explores the benefits of AlloyDB, especially compared to PostgreSQL on Cloud SQL. It covers AlloyDB’s unique architecture, how to configure deployments on Google Cloud, and how to optimize database performance. 

The course is divided into two parts: 

  1. AlloyDB Administration Essentials (architecture and configuration)
  2. AlloyDB Optimization Essentials (performance tuning)

After completing this course, participants will be able to:

  • Understand the differences between AlloyDB and Cloud SQL.
  • Describe AlloyDB’s architecture and its advantages for demanding workloads.
  • Create and manage an AlloyDB instance.
  • Leverage Index Advisor recommendations to improve query performance.
  • Use Adaptive Autovacuum to free up database resources.
  • Describe and configure the Columnar Engine to speed up analytical queries.

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Key Features of AlloyDB Essentials:

  • Practical, Hands-On LearningDeep dive into AlloyDB’s administration and optimization features. Focus on configuration, scaling, performance tuning, and query optimization. 

  • Comprehensive Coverage – Learn both Administration (setup, connectivity, scaling, backups) and Optimization (indexing, autovacuum, columnar engine). Covers AlloyDB’s cloud-native design and intelligent storage features. 

  • Google Cloud-Centric Approach – Understand AlloyDB’s role in Google Cloud’s database ecosystem. Compare AlloyDB with Cloud SQL and PostgreSQL for real-world workloads. 

  • Intermediate-Level Curriculum – Designed for Data Engineers and Database Administrators familiar with Google Cloud. Prior knowledge of PostgreSQL and Cloud SQL is helpful. 

  • Instructor-Led Training – Delivered in a structured, live session format. Focused 3-hour training for fast adoption

  • Module-Based Learning – 8 structured modules across two learning paths (Administration & Optimization). Includes quizzes and objectives for reinforcement. 

Who should Attend AlloyDB Essentials?

  • Data Engineers
  • Database Administrators

Prerequisites of AlloyDB Essentials:

To enrol in this course, it is recommended to have:
  • Comfortable working in Google Cloud with Cloud Shell and Console.
  • Basic knowledge of PostgreSQL management.
  • Basic understanding of Cloud SQL and database administration tasks.
  • Why choose CloudThat as your training partner?

    • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
    • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
    • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
    • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
    • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
    • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
    • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
    • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

    Course Outline: Download Course Outline

    Topics

    • Traditional PostgreSQL: Monolithic limitations
    • Cloud SQL: Monolithic scaling
    • AlloyDB: Cloud-native design
    • AlloyDB: Performance advantages
    • AlloyDB: Intelligent storage

    Objectives

    • Understand the differences between AlloyDB and Cloud SQL.

    Activities

    • Lecture, Demo, Quiz

    Topics

    • Disaggregated storage
    • WAL processing
    • Read pool scaling
    • Automatic data tiering
    • Dynamic shard mapping

    Objectives

    • Describe AlloyDB’s architecture and its advantages for demanding workloads.

    Activities

    • Lecture, Demo, Quiz

    Topics

    • Instance configuration
    • Network connectivity
    • Connection methods
    • Scaling instances
    • Backup and recovery
    • Additional Resources

    Objectives

    • Create and manage an AlloyDB instance.

    Activities

    • Lecture, Demo, Hands-on Walkthrough, Quiz

    Topics

    • Knowledge checks re AlloyDB Administration Essentials

    Objectives

    • Understand the differences between AlloyDB and Cloud SQL.
    • Describe AlloyDB’s architecture and its advantages for demanding workloads.
    • Create and manage an AlloyDB instance.

    Activities

    • Quiz, Wrap-up

    Topics

    • DBA tasks
    • Indexing challenges
    • Database indexes
    • Index advisor: Smart recommendations
    • Performance gains

    Objectives

    • Leverage Index Advisor recommendations to improve query performance.

    Activities

    • Lecture, Demo, Quiz

    Topics

    • MVCC overview
    • VACUUM purpose
    • Adaptive autovacuum: Dynamic resource management
    • Performance improvement

    Objectives

    • Use Adaptive Autovacuum to free up database resources.

    Activities

    • Lecture, Demo, Quz

    Topics

    • Row vs. Columnar: Storage differences
    • Analytical efficiency
    • In-memory engine
    • Metadata optimization
    • Execution modes
    • Additional Resources

    Objectives

    • Describe and configure the Columnar Engine to speed up analytical queries.

    Activities

    • Lecture, Demo, Quiz

    Topics

    • Knowledge checks re AlloyDB Optimization Essentials

    Objectives

    • Understand the differences between AlloyDB and Cloud SQL.
    • Leverage Index Advisor recommendations to improve query performance.
    • Use Adaptive Autovacuum to free up database resources.
    • Describe and configure the Columnar Engine to speed up analytical queries.

    Activities

    • Quiz, Wrap-up

    Certification Details:

      CloudThat Course Completion Certificate

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    Course ID: 25951

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    FAQs:

    This course is intended for Data Engineers and Database Administrators working with Google Cloud who want to learn AlloyDB administration and optimization.

    Learners should be comfortable with Google Cloud tools like Cloud Shell and Console, and have a basic understanding of PostgreSQL and Cloud SQL.

    The course duration is 3 hours.

    This is an Intermediate-level course.

    The course is instructor-led and delivered live.

    The course focuses on AlloyDB and does not cover general SQL or RDBMS basics.

    You will learn AlloyDB’s architecture, configuration, how to create and manage instances, and compare AlloyDB with Cloud SQL.

    You will learn how to use Index Advisor for performance, Adaptive Autovacuum to manage resources, and configure the Columnar Engine for analytical queries.

    The course consists of 8 modules, split across Administration and Optimization tracks.

    No. The datasheet specifies that this course includes no labs, videos, or classroom activities - it is lecture-driven with quizzes for reinforcement.

    Enquire Now