Building Data Pipelines, Data Lakes, and Warehouses Workshop by Tonex
The Building Data Pipelines, Data Lakes, and Warehouses Workshop by Tonex equips participants with the knowledge and skills to design, implement, and manage efficient data systems. This course covers the end-to-end data pipeline lifecycle, from ingestion to analytics. Participants will explore modern tools and frameworks, best practices for data management, and strategies for ensuring scalability and security. Delivered by experienced professionals, this workshop emphasizes hands-on learning through real-world case studies and practical exercises. Ideal for professionals aiming to master the latest trends in data architecture and engineering.
Learning Objectives:
- Understand the principles of data pipelines, lakes, and warehouses.
- Learn to design scalable and efficient data architectures.
- Explore tools for data ingestion, transformation, and storage.
- Analyze techniques for ensuring data quality and security.
- Apply best practices in managing large-scale data systems.
- Gain hands-on experience with modern data frameworks.
Audience:
- Data engineers and architects
- IT professionals managing data systems
- Data scientists and analysts
- Business intelligence professionals
- Project managers in data-driven fields
- Technology consultants
Course Modules:
Module 1: Introduction to Data Systems
- Overview of data pipelines, lakes, and warehouses
- Key concepts and terminologies
- Evolution of data architectures
- Differences between lakes and warehouses
- Importance of data integration
- Current trends in data engineering
Module 2: Designing Data Pipelines
- Data ingestion techniques
- ETL vs. ELT processes
- Real-time vs. batch data processing
- Orchestration tools for data workflows
- Managing pipeline dependencies
- Monitoring and optimization strategies
Module 3: Building Data Lakes
- Fundamentals of data lakes
- Storing structured, semi-structured, and unstructured data
- Tools and frameworks for data lakes
- Security and access control in lakes
- Data cataloging and governance
- Ensuring scalability and cost efficiency
Module 4: Creating Data Warehouses
- Data modeling and schema design
- Star and snowflake schemas
- Tools for data warehouse management
- Query optimization techniques
- Integrating warehouses with analytics platforms
- Migrating from traditional databases to warehouses
Module 5: Ensuring Data Quality and Security
- Techniques for data validation and cleansing
- Managing duplicates and inconsistencies
- Securing sensitive data in pipelines
- Role of encryption and access control
- Compliance with data protection regulations
- Handling data breaches and recovery plans
Module 6: Hands-on Practice and Case Studies
- Building an end-to-end data pipeline
- Case study: Data lake for enterprise analytics
- Case study: Warehouse for real-time reporting
- Troubleshooting common pipeline issues
- Automating data workflows
- Evaluating pipeline performance
Master modern data architectures with Tonex. Register now for this hands-on workshop and transform your data engineering skills into actionable expertise!