Course description
The world is generating data at an unprecedented scale. Today, organizations produce exabytes of data yearly, which is only increasing. This data deluge makes data management solutions essential for making sense of the data and turning it into meaningful insights. In a world where data is constantly being created, collated, and analyzed, data management solutions provide a vital function: they help you process, store and analyze your data to make smarter decisions and solve complex problems. In a world of unlimited data, extracting insights and turning data into a strategic advantage isn’t easy. It requires a data management strategy that can harness the power of data and turn it into a competitive advantage.
How is data warehousing interconnected with data management?
Data warehouses are the foundation of modern-day data management. Data warehouses store critical data so that you can access it when you need it. They’re the electronic systems for organizing, storing, and retrieving your company’s data. They’re often the first step in data analysis since they provide a secure location for storing and processing your data. Companies of all sizes utilize them to store, manage, and analyze their data. They lead on the path to data-driven decision-making and are essential to every data-driven organization.
Upcoming start dates
Suitability - Who should attend?
Who should attend?
Rcademy’s training course is ideal for data-oriented individuals as well as enthusiasts such as:
- Data Managers
- Business Analysts
- Business architects
- Project manager
- IT professionals
- Graduates and Scholars
- Entrepreneurs
Outcome / Qualification etc.
Rcademy is focused on achieving the following objectives through the training course:
- To develop capabilities to identify patterns in data
- To help develop insights into data for effective data management solutions
- To enable participants’ successful optimization of data
- To empower participants with the correct use of data for decision making
- To learn ways to create and access data across a range of data tier
- To learn efficient ways to improve access to different data sets by proper data warehousing
- To understand methods of improving data quality
- To overcome the challenges of data deficiency
- To learn detailed concepts of data management and their relevance in today’s data-driven corporate world
- To learn ways to devise the most effective data security strategy suitable for the organization
- To learn the latest trends and practices prevalent in the field of data management
- To get handy with the latest tools and techniques of data management
Training Course Content
Module 1: Introducing Data Management
- Relevance of data management in the present scenario
- Treating data capital as business capital
- Components of data management
- Data management platforms
- Improving data quality
Module 2: Understanding Databases
- Databases available
- SQL
- File-based databases, hierarchical databases
- Relational database
- Cloud database
- Object-oriented databases
- Database management systems
Module 3: Data Architecture
- Enterprise data modeling
- Data fabric
- Related data architecture
- Data pipelines
- Standards of data architecture
Module 4: Data Preparation
- Data collection
- Data discovery: identifying patterns and attributes
- Data cleansing
- Data structuring
- Data transformation: ETL
- Data validation
Module 5: Data Integration
- Manual Data Integration
- Application-based integration
- Approaches; tight coupling and loose coupling
- Schema integration
Module 6: Data Warehousing
- Scope of data warehousing
- Approaches: query-driven approach, update-driven approach
- Types of data warehouses
Module 7: Data Security
- Data security management
- Methods of securing data
- Developing security protocols
- Data protection regulations
- Data Security vs Data Privacy
- Data Security risks
Module 8: Data Quality Management
- Specification
- Analysis
- Measurement
- Improvement
Module 9: Challenges to Data Management
- Lack of data insight
- Maintaining performance levels of data management
- Compliance regulations
- Unstructured to structured data
- Fostering data culture in the organization
Module 10: Latest Trends in Data Management
- Multi-cloud data strategies
- Augmented data analytics
- AI-enabled data management
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Rcademy
Rcademy is a global training and consultation organisation set out to bridge the gap between you now and what you can be in the near future. We are facilitators of knowledge impartation. Our team of established and experienced training enthusiasts...