Data Storage & Operations
Good data storage is like organizing your kitchen—you want to find what you need fast, know it’s fresh, and be sure it’s secure.
Definition
Data Storage & Operations is the practice of managing how data is physically and virtually stored, maintained, backed up, and accessed. It includes the infrastructure, platforms, and practices that ensure reliable and secure access to data over time.
- Manages how and where data is stored and accessed
- Supports performance, scalability, and availability
- Includes backup, recovery, and storage operations
Core Components
- Database Management Systems (DBMS)
- Cloud Storage & Hybrid Infrastructure
- Backup and Disaster Recovery
- Performance Monitoring and Tuning
- Data Archiving and Retention Policies
Example in Practice
A retail company uses both on-premise databases and cloud-based data lakes. They must ensure fast access to real-time inventory data while securely archiving historical sales data. Storage operations ensure everything is optimized, compliant, and cost-effective.
Key Techniques & Tools
- PostgreSQL, Oracle DB, MySQL, SQL Server
- Amazon S3, Azure Blob Storage, Google Cloud Storage
- Snowflake, MongoDB, Redis
- DataOps platforms like StreamSets, Talend
Upcoming Events & Content
August 14, 2025: "Optimizing Data Storage Across Hybrid Cloud Environments"
Who Should Attend: Data engineers, DBAs, platform architects, IT operations
Vendor Partners in this Space
DAMA International (DAMA-I) is a not-for-profit, vendor independent association of technical and business professionals dedicated to advancing the concepts and practices for data resource management and enterprise information. DAMA-I is the parent organization of the DAMA-MN, and has chapters and members throughout the world.