Data management and compliance DBAs for professionals in

This five-day training course is designed for database administrator specialists who are interested in learning about big data management and data warehouse architecture. The course covers a variety of big data technologies and platforms, as well as traditional data warehousing concepts and techniques. Participants will gain a deep understanding of how to design, implement, and manage big data and data warehouse systems, as well as how to optimize their performance.

Outputs

By the end of this course, participants will be able to:
- Design and implement big data and data warehouse systems
- Choose the right big data technologies and platforms for their organization
- Load and integrate large data sets into big data and data warehouse systems
- Optimize the performance of big data and data warehouse systems
- Monitor and troubleshoot big data and data warehouse systems
- Analyze and interpret big data to make informed business decisions

Objectives

The objectives of this course are to:
- Provide a solid understanding of big data management and data warehouse architecture
- Teach attendees how to design, implement, and manage big data and data warehouse systems
- Provide hands-on experience with big data technologies and platforms
- Show attendees how to optimize the performance of big data and data warehouse systems
- Provide a deep dive into big data analytics and how to use big data to drive business decisions

Who Should Attend this course

This course is suitable for:
- Database Administrators
- IT Operations staff who manage big data and data warehouse systems
- Data Analysts and Data Scientists
- IT Managers who are responsible for big data and data warehouse systems

Outline

Day 1: Introduction to Big Data Management

- Overview of big data management
- Big data concepts and definitions
- Big data use cases and business value
- Understanding big data architecture and infrastructure

Day 2: Big Data Technologies & Platforms

- Overview of big data technologies and platforms
- Hadoop and its ecosystem
- NoSQL databases and their use cases
- Cloud-based big data platforms
- Choosing the right big data technologies and platforms for your organization

Day 3: Data Warehouse Architecture

- Overview of data warehouse architecture
- Data warehousing concepts and best practices
- Designing and implementing data warehouse systems
- Loading and integrating large data sets into data warehouse systems
- Optimizing data warehouse performance

Day 4: Big Data Analytics

- Overview of big data analytics
- Data exploration and visualization
- Machine learning and predictive analytics
- Real-time streaming analytics
- Analyzing and interpreting big data to make informed business decisions

Day 5: Monitoring & Troubleshooting Big Data & Data Warehouse Systems

- Overview of big data and data warehouse system monitoring
- Monitoring big data and data warehouse systems using performance counters and other tools
- Troubleshooting big data and data warehouse systems
- Best practices for managing big data and data warehouse systems

Note:

This is a general outline and the actual course content may vary depending on the instructor's experience and focus areas. However, the course will cover the essential concepts and hands-on experience with big data management and data warehouse architecture to enable attendees to manage and optimize big data and data warehouse systems effectively.

Throughout the course, participants will have the opportunity to work on practical exercises and case studies to apply the concepts and skills they have learned. The course will also include interactive discussions and opportunities for participants to share their experiences and insights.