Google Cloud Storage Training
Introduction to Google Cloud Storage
Learn the basics of Google Cloud Storage, a fully managed, scalable, and secure object storage service. Understand key concepts such as buckets, objects, and storage classes.
Setting Up Google Cloud Storage
Explore the process of setting up Google Cloud Storage. Learn how to create and configure storage buckets, set up permissions, and manage access controls.
Data Management and Organization
Study how to manage and organize your data in Google Cloud Storage. Learn about object lifecycle management, bucket organization, and metadata handling to efficiently store and retrieve data.
Storage Classes and Pricing
Discover the different storage classes available in Google Cloud Storage, such as Standard, Nearline, Coldline, and Archive. Learn how to choose the right class for your needs and understand pricing models.
Data Upload and Download
Learn how to upload and download data to and from Google Cloud Storage. Explore different methods for transferring data, including using the Google Cloud Console, gsutil command-line tool, and client libraries.
Data Security and Access Control
Understand the security features and access control mechanisms in Google Cloud Storage. Learn about encryption, access policies, and managing user permissions to secure your data.
Integration with Google Cloud Services
Explore how to integrate Google Cloud Storage with other Google Cloud services. Learn about using Cloud Functions, BigQuery, and Dataflow with Google Cloud Storage for enhanced data processing and analysis.
Backup and Recovery
Learn about backup and recovery strategies in Google Cloud Storage. Understand how to implement backup policies, restore data from backups, and ensure data durability and availability.
Monitoring and Logging
Discover how to monitor and log activities in Google Cloud Storage. Learn about using Cloud Monitoring and Cloud Logging to track storage usage, access patterns, and troubleshoot issues.
Hands-On Labs and Projects
Engage in hands-on labs and projects to apply your Google Cloud Storage skills. Work on real-world scenarios to develop practical experience in managing, securing, and optimizing cloud storage solutions.
Google Cloud Storage
1. Introduction to Cloud Computing
- Overview of Cloud Computing Concepts
- Definition of Cloud Computing
- Cloud Service Models
- Cloud Deployment Models
- Advantages of Cloud Storage Over Traditional Storage Solutions
2. Google Cloud Platform Overview
- Introduction to Google Cloud Platform (GCP)
- Overview of Google Cloud Platform
- History and Evolution of GCP
- Global Infrastructure and Regions
- Integration and Interoperability
- Overview of GCP Services and Their Functionalities
3. Google Cloud Storage Basics
- Introduction to Google Cloud Storage (GCS)
- Overview of Google Cloud Storage
- History and Evolution of GCS
- Core Concepts and Terminology
- Monitoring and Logging
- Understanding Storage Classes: Standard, Nearline, Coldline, and Archive
- Use Cases for Different Storage Classes
4. Creating and Managing Buckets
- Creating Buckets in GCS
- Introduction to Buckets
- Using the Google Cloud Console
- Using the Command-Line Interface (CLI)
- Bucket Logging and Monitoring
- Configuring Bucket Settings: Permissions, Logging, Versioning, Lifecycle Policies, etc.
- Best Practices for Bucket Management
5. Working with Objects
- Uploading and Downloading Objects to/from Buckets
- Managing Object Permissions
- Using Tools like gsutil and Cloud Storage Client Libraries
6. Data Transfer and Import/Export
- Transferring Data into and out of GCS
- Using Transfer Services for Large-Scale Data Movement
- Importing/Exporting Data Using Physical Media
7. Data Security and Access Control
- Understanding GCS Security Features
- Identity and Access Management (IAM) Roles and Permissions
- Encryption Options for Data at Rest and in Transit
8. Monitoring and Logging
- Monitoring Storage Usage and Performance
- Setting Up Logging and Monitoring for GCS Activities
- Using Stackdriver for Storage Monitoring and Logging
9. Data Lifecycle Management
- Implementing Lifecycle Policies for Managing Data
- Automating Data Archival and Deletion
- Cost Optimization Strategies Using Lifecycle Management
10. Advanced Topics
- Using GCS with Other GCP Services (BigQuery, Compute Engine, etc.)
- Integrating GCS with Third-Party Tools and Services
- Performance Optimization Techniques
11. Advanced Bucket Management
- Bucket Lifecycle Management Policies
- Object Versioning and Object Lifecycle Actions
- Bucket Locking and Retention Policies
- Signed URLs and Policy Documents
- Bucket-Level IAM Policies and Permissions
- Best Practices for Secure Bucket Configuration
12. Advanced Object Operations
- Large Object Uploads and Resumable Uploads
- Object Composition and Concatenation
- Object Metadata Management and Custom Metadata
- Object Annotations and Labels
- Object Change Notifications and Pub/Sub Integration
- Object Preprocessing with Cloud Functions or Cloud Run
13. Advanced Data Transfer Techniques
- Data Transfer Service for Large-Scale Data Migration
- Transfer Appliance for Offline Data Transfer
- Third-Party Tools and Services Integration
- Parallel Data Transfer Strategies
- Data Transfer Optimization and Performance Tuning
- Advanced Data Transfer Monitoring and Logging
14. Advanced Security and Compliance
- Customer-Managed Encryption Keys (CMEK) for GCS
- Key Management Service (KMS) Integration
- Object-Level Access Controls with Signed URLs and Signed Policy Documents
- VPC Service Controls for Enhanced Data Security
- Compliance Considerations and Certifications (e.g., HIPAA, GDPR)
- Data Governance and Data Loss Prevention (DLP) Strategies
15. Advanced Monitoring and Troubleshooting
- Stackdriver Monitoring and Logging for GCS
- Custom Metrics and Alerts Configuration
- Advanced Logging Filters and Querying Techniques
- Diagnosing and Troubleshooting Performance Issues
- Event-Driven Monitoring and Automated Remediation
- Best Practices for Incident Response and Recovery
16. Advanced Integration and Interoperability
- GCS Integration with Other GCP Services (e.g., BigQuery, Dataflow)
- Multi-Cloud Data Management Strategies
- Hybrid Cloud Storage Solutions
- Object Storage Federation and Cross-Region Replication
- Interoperability with On-Premises Storage Systems
- Best Practices for Data Integration and Interoperability
17. Advanced Cost Optimization Strategies
- Cost Analysis and Optimization Tools
- Optimizing Storage Class Selection Based on Access Patterns
- Lifecycle Management Policies for Cost Reduction
- Optimizing Object Size and Compression Techniques
- Resource Sharing and Cost Allocation Strategies
- Forecasting and Budgeting for GCS Usage
18. Advanced Performance Optimization
- Performance Tuning for Object Read and Write Operations
- Optimizing Network Throughput and Latency
- Request Parallelization and Connection Pooling
- Advanced Caching Strategies for GCS Objects
- CDN Integration for Content Delivery Optimization
- Performance Testing and Benchmarking Techniques
19. Advanced Use Cases and Solutions
- Real-Time Data Streaming and Analytics with GCS
- Machine Learning Data Preparation and Training Pipelines
- Content Distribution and Media Streaming Solutions
- IoT Data Ingestion and Processing Architectures
- Disaster Recovery and Business Continuity Solutions
- Industry-Specific Use Cases and Solutions (e.g., Healthcare, Financial Services)
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details