Storage & Data Protection

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Storage & Data Protection

Storage & Data Protection

Course Description:

This course explores the key concepts and practices in data storage and data protection. It covers various types of storage systems, technologies, backup strategies, disaster recovery, and data security methods. Students will learn how to design and manage storage infrastructures, implement data protection measures, and ensure business continuity in case of data loss. The course is ideal for students aiming for careers in IT infrastructure, cloud storage, or data security.

Course Duration:

12 weeks

3 hours per week

plus practical labs and assignments

Course Objectives:

By the end of the course, students will:

Understand different storage technologies and their applications.
Be able to design and manage storage solutions.
Know how to implement effective data protection strategies, including backup, replication, and disaster recovery.
Learn about data security best practices.
Gain hands-on experience with storage management tools and software.

Course Prerequisites:

Basic understanding of computer systems and networking
Familiarity with operating systems (Linux/Windows)
Basic knowledge of data security principles

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Instructor-led Power BI live online Training Schedule

Flexible batches for you

SEP 16	WeekEnd	SAT & SUN (5.5 Weeks)	07:00 AM to 10:00 AM (IST) ORIENTATION CLASS
SEP 18	iuwegu	MON – FRI (15 Days)	07:00 AM to 09:00 AM (IST) CLASS 1
OCT 07th	WeekEnd	SAT & SUN (5 Weeks)	08:30 PM to 11:30 PM (IST) CLASS 1
OCT 09th	iuwegu	MON – FRI (15 Days)	08:30 PM to 10:30 PM (IST) CLASS 1

Price 17,795 16,015

	SEP 16 WeekEnd	SAT & SUN (5.5 Weeks) 07:00 AM to 10:00 AM (IST) ORIENTATION CLASS
	SEP 18	MON – FRI (15 Days) 07:00 AM to 09:00 AM (IST) CLASS 1
	OCT 07th WeekEnd	SAT & SUN (5 Weeks) 08:30 PM to 11:30 PM (IST) CLASS 1
	OCT 09th	MON – FRI (15 Days) 08:30 PM to 10:30 PM (IST) CLASS 1

Price 17,795 16,015

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Starts at 16,015

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Power BI Course Content

AsliLearn provides a comprehensive course focused on harnessing the full potential of organizational data assets, data repositories, and data processes, whether they are on-premise or in the cloud, using Power BI. Our curriculum delves into topics essential for real-world applications in the BI industry, including the creation of scalable data models and the design of visualizations and reporting to extract valuable insights from data. To reinforce your learning, we offer a range of learning materials, hands-on exercises, and dedicated lab sessions that enable you to practice and master the capabilities of Power BI gained during the training.

Curriculum Breakdown:

Week 1: Introduction to Storage and Data Protection

Topic Overview:
- Definition of Data Storage and Data Protection
- Overview of Storage Systems: File Storage, Block Storage, Object Storage
- Importance of Data Protection in Business Continuity
- Key Concepts in Data Availability, Integrity, and Confidentiality
Use Case/Example:
- Example: Understanding how data loss can impact business operations (e.g., data loss in an e-commerce company leads to lost sales and customer trust).
Lab:
- Overview of different storage types and use cases.
- Basic demonstration of file systems and storage devices.

Week 2: Types of Storage Systems

Topic Overview:
- Direct-Attached Storage (DAS)
- Network-Attached Storage (NAS)
- Storage Area Networks (SAN)
- Cloud Storage (Public, Private, Hybrid)
Use Case/Example:
- Example: A small company using NAS for file sharing vs. a large corporation using SAN for high-performance data access.
Lab:
- Setting up and configuring a basic NAS system.
- Introduction to cloud storage platforms (Google Cloud, AWS S3).

Week 3: Data Storage Architectures and Virtualization

Topic Overview:
- Storage Virtualization: Benefits and Implementation
- Virtual Storage Arrays (VSAs)
- Introduction to Software-Defined Storage (SDS)
- The Role of Virtualization in Modern Storage Systems
Use Case/Example:
- Example: Virtualizing storage to optimize performance in a data center environment.
Lab:
- Creating and configuring virtual storage on a hypervisor (e.g., VMware, Hyper-V).
- Implementing software-defined storage using free tools like OpenStack or GlusterFS.

Week 4: Data Protection Principles and Strategies

Topic Overview:
- Understanding Data Protection: Availability, Reliability, Durability
- The Importance of Redundancy: RAID Levels, Mirroring, Parity
- Data Loss Scenarios: Accidental Deletion, System Failures, Natural Disasters
Use Case/Example:
- Example: How RAID 1 (mirroring) protects against hard drive failures in a server.
Lab:
- Configuring RAID 1 and RAID 5 arrays using disk management tools.
- Simulating disk failures and observing data recovery.

Week 5: Backup Strategies and Techniques

Topic Overview:
- Types of Backups: Full, Incremental, Differential
- Backup Methods: Onsite vs. Offsite, Cloud Backup
- Backup Schedules and Retention Policies
Use Case/Example:
- Example: A backup plan for a small business website that needs to perform daily incremental backups and monthly full backups.
Lab:
- Setting up automated backups using software tools (e.g., Veeam, Windows Backup).
- Testing recovery from incremental and full backups.

Week 6: Disaster Recovery and Business Continuity Planning

Topic Overview:
- Disaster Recovery (DR) Concepts and Frameworks
- Business Continuity Planning (BCP)
- Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
- Data Replication Methods: Synchronous vs. Asynchronous
Use Case/Example:
- Example: A company experiences a server crash, and the recovery process from a remote data center ensures no data loss.
Lab:
- Configuring disaster recovery plans and testing failover scenarios using VMware Site Recovery or Azure Site Recovery.

Week 7: Data Replication Techniques

Topic Overview:
- Replication Concepts: Mirroring, Clustering, and Data Duplication
- Storage and Database Replication
- Snapshot Technologies
- Real-time Data Replication
Use Case/Example:
- Example: A financial institution using synchronous replication to ensure that their databases are consistently updated across two locations.
Lab:
- Implementing basic replication between storage devices.
- Creating snapshots of virtual machines and restoring data from snapshots.

Week 8: Cloud Storage and Data Protection

Topic Overview:
- Cloud Storage Models: IaaS, PaaS, SaaS
- Data Encryption in Cloud Storage
- Cloud Data Protection: Backup and Disaster Recovery in Cloud Environments
- Cloud Storage Security Challenges
Use Case/Example:
- Example: A startup using AWS S3 for data storage and configuring automatic backup policies.
Lab:
- Setting up backup policies in AWS S3 or Azure Blob Storage.
- Encrypting data in cloud storage and managing access controls.

Week 9: Data Security and Privacy in Storage Systems

Topic Overview:
- Encryption Methods for Data at Rest and Data in Transit
- Access Control and Authentication (Role-Based Access Control, Identity Management)
- Legal and Regulatory Requirements (GDPR, HIPAA)
- Data Masking and Anonymization Techniques
Use Case/Example:
- Example: A healthcare provider encrypting sensitive patient data in storage to comply with HIPAA regulations.
Lab:
- Encrypting sensitive files using encryption tools (e.g., BitLocker, VeraCrypt).
- Setting up user authentication and access control policies for storage systems.

Week 10: Storage Performance and Optimization

Topic Overview:
- Factors Affecting Storage Performance: Latency, Throughput, IOPS
- Storage Tiers and Data Placement
- Performance Tuning for Backup and Data Recovery
Use Case/Example:
- Example: Optimizing storage performance for an e-commerce website by implementing SSD storage for frequently accessed data.
Lab:
- Benchmarking storage performance using tools like CrystalDiskMark.
- Configuring storage tiers in a SAN and testing performance with different workloads.

Week 11: Data Integrity and Validation

Topic Overview:
- Techniques for Ensuring Data Integrity: Checksums, Hash Functions
- Data Verification Methods for Backups and Archives
- Handling Data Corruption and Errors
Use Case/Example:
- Example: Verifying that backup data is not corrupted using checksums.
Lab:
- Implementing data integrity checks on backup files.
- Restoring and verifying the integrity of backed-up data.

Week 12: Final Project and Review

Topic Overview:
- Course Review and Key Takeaways
- Designing a Complete Data Protection Strategy: Storage, Backup, Disaster Recovery
- Real-World Case Study
Use Case/Example:
- Example: A medium-sized enterprise implementing a comprehensive storage and data protection strategy using a combination of on-premises and cloud storage.
Lab/Project:
- Students will design a data storage and protection plan for a fictional company, incorporating backup, disaster recovery, and security measures. They will present their project and receive feedback.

Storage & Data Protection