Professional Cloud Database Engineer Training

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Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Professional Cloud Database Engineer Training Course Overview

The Professional Cloud Database Engineer training by Multisoft Systems is designed to equip IT professionals and database specialists with the skills required to effectively manage and optimize cloud databases. This course provides in-depth knowledge of designing, building, and operating database solutions using leading cloud platforms, focusing on performance, security, and scalability. Participants will explore critical topics such as cloud architecture, SQL and NoSQL databases, database migration, backup and recovery strategies, as well as monitoring and troubleshooting techniques tailored for cloud environments. Through practical labs and real-world scenarios, trainees gain hands-on experience in configuring cloud-based databases to meet diverse enterprise requirements, ensuring reliability and efficiency. Additionally, the course covers best practices for securing database systems in the cloud, emphasizing data protection, encryption, and compliance with industry standards.

Ideal for cloud database engineers, IT administrators, and developers seeking cloud certification, this training offers a pathway to becoming a skilled Professional Cloud Database Engineer, recognized for their ability to design robust, cost-effective, and high-performing database solutions. By the end of the course, participants will be prepared to tackle industry challenges and leverage their knowledge to innovate and streamline database operations in the cloud, enhancing their career prospects in the ever-evolving cloud domain.

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Professional Cloud Database Engineer Training Course curriculum

Curriculum Designed by Experts

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The Professional Cloud Database Engineer training by Multisoft Systems is designed to equip IT professionals and database specialists with the skills required to effectively manage and optimize cloud databases. This course provides in-depth knowledge of designing, building, and operating database solutions using leading cloud platforms, focusing on performance, security, and scalability. Participants will explore critical topics such as cloud architecture, SQL and NoSQL databases, database migration, backup and recovery strategies, as well as monitoring and troubleshooting techniques tailored for cloud environments. Through practical labs and real-world scenarios, trainees gain hands-on experience in configuring cloud-based databases to meet diverse enterprise requirements, ensuring reliability and efficiency. Additionally, the course covers best practices for securing database systems in the cloud, emphasizing data protection, encryption, and compliance with industry standards.

Ideal for cloud database engineers, IT administrators, and developers seeking cloud certification, this training offers a pathway to becoming a skilled Professional Cloud Database Engineer, recognized for their ability to design robust, cost-effective, and high-performing database solutions. By the end of the course, participants will be prepared to tackle industry challenges and leverage their knowledge to innovate and streamline database operations in the cloud, enhancing their career prospects in the ever-evolving cloud domain.

  • Develop a solid understanding of cloud database architecture and management.
  • Learn to design, build, and implement scalable database solutions on cloud platforms.
  • Gain expertise in SQL and NoSQL database systems within cloud environments.
  • Master techniques for database migration to the cloud, ensuring minimal downtime and data integrity.
  • Implement robust backup, recovery, and disaster recovery solutions for cloud databases.
  • Explore best practices for securing cloud databases, including encryption, access controls, and compliance.
  • Monitor and troubleshoot database performance, optimizing for cost and efficiency.
  • Understand data partitioning, indexing, and caching strategies for cloud databases.

Course Prerequisite

  • Basic knowledge of cloud computing concepts
  • Familiarity with SQL and NoSQL databases

Course Target Audience

  • Cloud Database Engineers
  • IT Administrators
  • Database Administrators (DBAs)
  • Cloud Architects
  • Data Engineers
  • DevOps Engineers
  • IT Professionals transitioning to cloud roles
  • Database Developers
  • Cloud Solution Architects
  • Technology Consultants

Course Content

1.1 Analyze relevant variables to perform database capacity and usage planning. Activities include:

  • Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
  • Evaluate performance and cost tradeoffs of different database configurations (machine types, HDD versus SSD, etc.)
  • Size database compute and storage based on performance requirements

1.2 Evaluate database high availability and disaster recovery options given the requirements. Activities include:

  • Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
  • Given a scenario, define maintenance windows and notifications based on application availability requirements
  • Plan database upgrades for Google Cloud-managed databases

1.3 Determine how applications will connect to the database. Activities include:

  • Design scalable, highly available, and secure databases
  • Configure network and security (Cloud SQL Auth Proxy, CMEK, SSL certificates)
  • Justify the use of session pooler services
  • Assess auditing policies for managed services

1.4 Evaluate appropriate database solutions on Google Cloud. Activities include:

  • Differentiate between managed and unmanaged database services (self-managed, bare metal, Google-managed databases and partner database offerings)
  • Distinguish between SQL and NoSQL business requirements (structured, semi-structured, unstructured)
  • Analyze the cost of running database solutions in Google Cloud (comparative analysis)
  • Assess application and database dependencies

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2.1 Determine database connectivity and access management considerations. Activities include:

  • Determine Identity and Access Management (IAM) policies for database connectivity and access control
  • Manage database users, including authentication and access

2.2 Configure database monitoring and troubleshooting options. Activities include:

  • Assess slow running queries and database locking and identify missing indexes
  • Monitor and investigate database vitals: RAM, CPU storage, I/O, Cloud Logging
  • Monitor and update quotas
  • Investigate database resource contention
  • Set up alerts for errors and performance metrics

2.3 Design database backup and recovery solutions. Activities include:

  • Given SLAs and SLOs, recommend backup and recovery options (automatic scheduled backups)
  • Configure export and import data for databases
  • Design for recovery time objective (RTO) and recovery point objective (RPO)

2.4 Optimize database cost and performance in Google Cloud. Activities include:

  • Assess options for scaling up and scaling out.
  • Scale database instances based on current and upcoming workload
  • Define replication strategies
  • Continuously assess and optimize the cost of running a database solution

2.5 Determine solutions to automate database tasks. Activities include:

  • Perform database maintenance
  • Assess table fragmentation
  • Schedule database exports

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3.1 Design and implement data migration and replication. Activities include:

  • Develop and execute migration strategies and plans, including zero downtime, near-zero downtime, extended outage, and fallback plans
  • Reverse replication from Google Cloud to source
  • Plan and perform database migration, including fallback plans and schema conversion
  • Determine the correct database migration tools for a given scenario

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4.1 Apply concepts to implement highly scalable and available databases in Google Cloud. Activities include:

  • Provision high availability database solutions in Google Cloud
  • Test high availability and disaster recovery strategies periodically
  • Set up multi-regional replication for databases
  • Assess requirements for read replicas
  • Automate database instance provisioning

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Professional Cloud Database Engineer Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Professional Cloud Database Engineer Corporate Training

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Professional Cloud Database Engineer Training FAQ's

While not mandatory, familiarity with cloud platforms like AWS, Google Cloud, or Azure is beneficial for this course.

Yes, participants receive a course completion certificate from Multisoft Systems.

Yes, the course includes hands-on labs and real-world scenarios to strengthen practical skills.

This course is ideal for individuals with basic database and cloud knowledge. Beginners may benefit from an introductory cloud computing course first.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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