Data Management & Administration Training
Introduction to Data Management
Learn the fundamentals of data management, including its importance in ensuring data quality, availability, and security. Understand the roles and responsibilities of data managers and administrators.
Data Governance
Explore the principles of data governance. Learn about data stewardship, data ownership, and the development of data governance policies and frameworks to ensure effective data management.
Data Quality Management
Study techniques for managing data quality. Understand how to assess, monitor, and improve data accuracy, completeness, consistency, and reliability.
Data Storage and Database Management
Learn about data storage solutions and database management systems. Explore relational databases, NoSQL databases, data warehouses, and cloud storage options.
Data Integration and ETL Processes
Understand data integration techniques and Extract, Transform, Load (ETL) processes. Learn how to integrate data from various sources and transform it for analysis and reporting.
Data Security and Privacy
Study data security and privacy practices. Learn about encryption, access controls, data masking, and compliance with data protection regulations such as GDPR, HIPAA, and CCPA.
Data Backup and Recovery
Explore strategies for data backup and recovery. Understand the importance of regular backups, disaster recovery planning, and data restoration techniques to ensure business continuity.
Data Lifecycle Management
Learn about managing the data lifecycle from creation and storage to archiving and deletion. Study best practices for handling data at different stages of its lifecycle.
Data Administration Tools and Technologies
Discover tools and technologies used in data management and administration. Study database management systems (DBMS), data integration platforms, and data management software.
Case Studies and Practical Exercises
Engage in case studies and practical exercises to apply data management concepts. Practice using data management tools, implementing data governance policies, and solving data-related challenges in simulated scenarios.
Exam Preparation and Certification
Prepare for data management certifications with study tips, practice exams, and review materials. Familiarize yourself with exam formats, question types, and strategies for success.
Data Management & Administration Syllabus
Introduction to Data Management
- Overview of data management concepts and importance
- Evolution of data management technologies and practices
- Role of data management in organizational success
- Introduction to database management systems (DBMS)
Relational Database Management Systems (RDBMS)
- Introduction to relational database concepts
- Overview of popular RDBMS (e.g., MySQL, PostgreSQL, SQL Server, Oracle)
- SQL fundamentals: querying, data manipulation, and data definition
- Data modeling and database design principles
Database Administration Fundamentals
- Introduction to database administration (DBA) roles and responsibilities
- Database installation, configuration, and upgrades
- User management and access control
- Monitoring and troubleshooting database performance
Backup and Recovery
- Importance of data backup and recovery strategies
- Types of database backups: full, incremental, and differential
- Recovery models and strategies for different scenarios
- Disaster recovery planning and testing
Data Security and Privacy
- Importance of data security in data management
- Authentication and authorization mechanisms
- Encryption techniques for data protection
- Compliance regulations (e.g., GDPR, HIPAA) and data privacy considerations
Data Governance and Quality
- Introduction to data governance frameworks and best practices
- Establishing data governance policies and procedures
- Data quality management: profiling, cleansing, and enrichment
- Metadata management and data lineage
Data Integration and ETL (Extract, Transform, Load)
- Overview of data integration concepts and technologies
- ETL processes and tools for data movement and transformation
- Real-time data integration and streaming data architectures
- Case studies and practical exercises
Master Data Management (MDM)
- Introduction to master data management (MDM) concepts
- Benefits and challenges of MDM implementation
- MDM architecture and data stewardship
- Data synchronization and consolidation techniques
Cloud Data Management
- Overview of cloud-based data management solutions (e.g., AWS RDS, Azure SQL Database, Google Cloud Spanner)
- Benefits and challenges of cloud data management
- Migrating on-premises databases to the cloud
- Hands-on experience with a selected cloud data management platform
Performance Tuning and Optimization
- Performance monitoring and analysis
- Identifying and resolving performance bottlenecks
- Indexing strategies for performance optimization
- Query optimization techniques
Big Data Management
- Introduction to big data technologies (e.g., Hadoop, Spark, Kafka)
- Managing and processing large volumes of data
- Data storage and processing architectures (e.g., data lakes, data warehouses)
- Hands-on exercises with big data tools
Capstone Project
- Final project where students apply their knowledge and skills to solve a real-world data management and administration problem
- Project planning, implementation, and documentation
- Presentation of projects and peer feedback
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