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Google Cloud Certified Professional Cloud Database Engineer
The Google Cloud Certified Professional Database Engineer course will teach you how to design, build, manage, and debug the Google Cloud databases that apps use to store and retrieve data.
Overview
A skilled cloud database engineer has five years of total database and IT experience in addition to two years of Google Cloud expertise. The Google Cloud databases that applications utilize to store and retrieve data are designed, created, managed, and troubleshooted by the Professional Cloud Database Engineer. A professional cloud database engineer should feel at ease converting technical and business requirements into scalable and affordable database solutions.
What you will Learn in this Google Cloud Certified Professional Cloud Database Engineer course?
- When to use Bigtable, BigQuery, Cloud Firestore, Cloud Spanner, Cloud SQL, and AlloyDB
- How to set up a database instance with managed database services
- How to control users
- Different GCP Database Products
- Making preparations for high reliability and availability
- Optimum database security procedures
- Databases creation, management, and cloning
- GCP Basics
- Securely connecting to your databases
- Observation, logging, and warning
- Knowing best methods for backing up, exporting, and importing databases
- Knowing how to carry out database migrations and understanding data migration procedures
- Utilizing specific services such as Oracle Bare Metal, Datastream, and Database Migration Service
- Knowing how to configure IOPS and estimate database capacity to fulfill performance needs
Who should go for Google Cloud Certified Professional Cloud Database Engineer course?
- Anyone Planning for Google Cloud professional database Engineer Guide
- Anyone who want to learn Different Database Offered by GCP – Google Cloud
Our Package
Introduction
- Course Introduction
- Exam Overview
Cloud SQL
- Cloud SQL – Overview
- Supported Database Engines by Cloud SQL
- Cloud SQL – Editions [Enterprise vs Enterprise Plus]
- Analyse Relevant Variables to Perform Database Capacity and Usage Planning
- Evaluate Database High Availability & Disaster Recovery Options
- Configure Database Monitoring and Troubleshooting Options
- Design Database Backup and Recovery Solutions
- Google Cloud – Appropriate Database Solutions
- Database Connectivity and Access Management Considerations
- Optimize Database Cost and Performance in Google Cloud
- Determine Solutions to Automate Database Tasks
- Design and Implement Data Migration and Replication
- Deploy Scalable and Highly Available Databases in Google Cloud
- Demo: Network and Security Configuration in Cloud SQL
- Demo: Cloud SQL – Disk Types SSD vs HDD
- Demo: Import and Export
- Demo: Viewing Cost of Running Cloud SQL Databases with Different Configurations
- Demo: Defining Maintenance Window for Cloud SQL
- Demo: Evaluating Different Machine Configurations
Cloud Spanner
- Analyse Relevant Variables to Perform Database Capacity and Usage Planning
- Database High Availability and Disaster Recovery Options
- Determine How Applications Will Connect to the Database
- Evaluate Appropriate Database Solutions on Google Cloud
- Database Connectivity and Access Management Considerations
- Configure Database Monitoring and Troubleshooting Options – Part 1
- Configure Database Monitoring and Troubleshooting Options – Part 2
- Database Backup and Recovery Solutions – Part 1
- Database Backup and Recovery Solutions – Part 2
- Optimize Database Cost and Performance in Google Cloud – Part 1
- Optimize Database Cost and Performance in Google Cloud – Part 2
- Determine Solutions to Automate Database Tasks
- Design and Implement Data Migration and Replication
- Deploy Scalable and Highly Available Databases in Google Cloud
- Demo: Evaluate Backup and Recovery in Cloud Spanner
- Demo: Monitoring Database Metrics in Cloud Spanner
- Demo: Read Replicas in Cloud Spanner
- Demo: Scaling in Cloud Spanner
AlloyDB
- Effectively Planning Database Capacity and Usage with AlloyDB
- Database High Availability and Disaster Recovery Options
- Determine How Applications Will Connect to the Database
- Evaluate Appropriate Database Solutions on Google Cloud
- Database Connectivity and Access Management Considerations
- Database Monitoring and Troubleshooting Options
- Design Database Backup and Recovery Solutions
- Optimize Database Cost and Performance in Google Cloud
- Determine Solutions to Automate Database Tasks
- Design and Implement Data Migration
- Deploy Scalable and Highly Available AlloyDB Database
- HTAP Database – Overview
- Demo: Evaluating Different Machine Configuration in AlloyDB
- Demo: Evaluating Between Basic and Highly Available Deployment Strategies
- Demo: Monitoring Database Metrics in AlloyDB
- Demo: Backup and Restore in AlloyDB
Firestore
- Firestore Database – Overview
- Analyze Relevant Variables to Perform Database Capacity & Usage Planning
- Evaluating Database for High Availability and Disaster Recovery
- Determine How Applications Will Connect to the Databases
- Evaluate Appropriate Database Solutions on Google Cloud
- Database Connectivity and Access Management Considerations
- Design Database Backup and Recovery Solutions
- Optimize Database Cost and Performance in Firestore DB
- Determine Solutions to Automate Database Tasks
- Design and Implement Data Migration
- Implementing Highly Scalable and Available Databases
- Costs of Running Firestore
- Demo: Evaluating Between Native Mode vs Datastore Mode
- Demo: Security Policies in Firestore
- Demo: Backup and Restore in Firestore
Bigtable
- Bigtable – Overview
- Analyze Relevant Variables to Perform Database Capacity and Usage Planning
- Evaluate Database High Availability and Disaster Recovery Options
- Determine How Applications Will Connect to the Database
- Evaluate Appropriate Database Solutions on Google Cloud
- Database Connectivity and Access Management Considerations
- Configure Database Monitoring and Troubleshooting
- Design Database Backup and Recovery Solutions
- Optimize Database Cost and Performance
- Determine Solutions to Automate Database Tasks
- Design and Implement Data Migration Solutions
- Apply Concepts to Implement Highly Scalable and Available Databases in Google Cloud
- Demo: Adding Cluster in Bigtable
- Demo: Bigtable Provisioning
- Demo: Cost of Running Bigtable Database
- Demo: Scaling in Bigtable
Course Conclusion
Conclusion and Best Practices
Upcoming Batch
April 20th (Weekends)
FRI & SAT (4 Weeks)
08:30 PM to 01:00 AM (CDT)
April 18th (Weekdays)
MON – FRI (18 Days)
10:00 AM to 12:00 PM (CDT)
Google Cloud Certified Professional Cloud Database Engineer FAQs
Q. Is Google Cloud professional Database Engineer certification worth it?
Ans.
Obtaining the Google Professional Database Engineer certification is a valuable step for your career, particularly if you aspire to work within the Google Cloud ecosystem, as it can significantly enhance your prospects and opportunities.
Q. Which GCP certification is best for data engineers?
Ans.
For data engineers, the most relevant GCP certification would be the Google Cloud Professional Database Engineer certification. This certification is designed for individuals who design, build, and maintain data processing systems and machine learning models on GCP.
Q. How hard is a Google Cloud Certified Professional Database Engineer?
Ans.
As for the difficulty of the Google Cloud Certified Professional Database Engineer certification, it can vary depending on your prior experience and knowledge of GCP database services. If you have experience with database engineering and are familiar with GCP, it may be less challenging. However, if you’re relatively new to the platform, you’ll need to invest time in studying the relevant topics and hands-on practice.
Q. What does a Google Certified Professional Data Engineer do?
Ans.
A Professional Cloud Database Engineer is responsible for the design, development, management, and resolution of issues related to Google Cloud databases, which are utilized by applications for the storage and retrieval of data.
Q. Does Google Cloud certification expire?
Ans.
All Professional Google Cloud certifications remain valid for a duration of two years starting from the date of an individual’s certification.
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