Data Warehousing & Data Lakes Training Course: Data Storage Solutions

Introduction

Master the essentials of modern data storage with our Data Warehousing and Data Lakes Training Course. This program is designed to equip you with the essential skills to design and implement data storage solutions, enabling you to build robust and scalable systems for data analysis and reporting. In today's data-driven world, understanding data warehousing and data lakes is crucial for managing and utilizing vast amounts of information efficiently. Our data warehousing training course offers hands-on experience and expert guidance, empowering you to leverage these powerful technologies.

This data lakes training delves into the core concepts of data warehousing and data lakes, covering topics such as schema design, data ingestion, and query optimization. You'll gain expertise in using industry-standard tools and techniques to design and implement data storage solutions, meeting the demands of modern data management projects. Whether you're a data engineer, data architect, or data analyst, this Data Warehousing & Data Lakes course will empower you to build and maintain high-performance data storage systems.

Target Audience:

• Data Engineers
• Data Architects
• Data Analysts
• Database Administrators
• Business Intelligence Developers
• Software Developers
• Anyone needing data warehousing and data lakes skills

Course Objectives:

• Understand the fundamentals of data warehousing and data lakes.
• Master dimensional modeling and schema design for data warehouses.
• Utilize data lake architectures for flexible data storage.
• Implement data ingestion and ETL processes for data warehousing and lakes.
• Design and build efficient data storage solutions for analytics.
• Optimize data storage for query performance and scalability.
• Troubleshoot and address common data warehousing and data lakes challenges.
• Implement data governance and security for data storage systems.
• Integrate data warehouses and data lakes with real-world applications.
• Understand how to handle data quality and metadata management.
• Explore advanced data warehousing and data lakes techniques (e.g., cloud-based data warehouses, data lakehouses).
• Apply real world use cases for data warehousing and data lakes.
• Leverage data storage tools and platforms for efficient implementation.

Duration

10 Days

Course content

Module 1: Introduction to Data Warehousing and Data Lakes

• Fundamentals of data warehousing and data lakes.
• Overview of dimensional modeling and data lake architectures.
• Setting up a data storage development environment.
• Introduction to data storage tools and platforms.
• Best practices for data warehousing and data lakes.

Module 2: Dimensional Modeling and Schema Design

• Implementing dimensional modeling for data warehouses.
• Utilizing star and snowflake schemas for data organization.
• Designing and building data warehouse schemas.
• Optimizing schemas for query performance.
• Best practices for schema design.

Module 3: Data Lake Architectures

• Implementing data lake architectures for flexible storage.
• Utilizing object storage and file formats (Parquet, ORC).
• Designing and building data lake storage solutions.
• Optimizing data lakes for data exploration and analysis.
• Best practices for data lakes.

Module 4: Data Ingestion and ETL Processes

• Implementing data ingestion for data warehousing and lakes.
• Utilizing ETL tools and data integration techniques.
• Designing and building data ingestion pipelines.
• Optimizing ETL processes for data loading and transformation.
• Best practices for data ingestion.

Module 5: Data Storage Solution Design

• Designing efficient data storage solutions for analytics.
• Implementing data partitioning and clustering.
• Utilizing data compression and indexing.
• Optimizing data storage for query performance.
• Best practices for solution design.

Module 6: Query Performance and Scalability

• Optimizing data storage for query performance and scalability.
• Utilizing query optimization techniques.
• Implementing data caching and indexing.
• Designing scalable data storage systems.
• Best practices for performance and scalability.

Module 7: Troubleshooting Data Storage Challenges

• Debugging common data warehousing and data lakes issues.
• Analyzing storage performance and errors.
• Utilizing troubleshooting techniques for problem resolution.
• Resolving common storage challenges.
• Best practices for troubleshooting.

Module 8: Data Governance and Security

• Implementing data governance and security for data storage systems.
• Utilizing access control and data encryption.
• Designing and building secure data storage pipelines.
• Optimizing data handling for compliance.
• Best practices for governance.

Module 9: Integration with Real-World Applications

• Integrating data warehouses and data lakes with real-world applications.
• Utilizing APIs and data connectors.
• Implementing data storage for various analytics applications.
• Optimizing integration for business impact.
• Best practices for integration.

Module 10: Data Quality and Metadata Management

• Implementing data quality checks and validation.
• Utilizing metadata management tools and techniques.
• Designing and building data quality pipelines.
• Optimizing data handling for accuracy and consistency.
• Best practices for data quality.

Module 11: Advanced Data Storage Techniques

• Implementing cloud-based data warehouses (Snowflake, Redshift).
• Utilizing data lakehouses for unified data management.
• Designing and building advanced data storage solutions.
• Optimizing advanced techniques for specific applications.
• Best practices for advanced techniques.

Module 12: Real-World Use Cases

• Implementing data warehousing for business intelligence reporting.
• Utilizing data lakes for data science and machine learning.
• Implementing data storage for customer analytics.
• Utilizing data storage for financial data analysis.
• Best practices for real-world applications.

Module 13: Data Storage Tools and Platforms Implementation

• Utilizing Snowflake and Amazon Redshift for data warehousing.
• Implementing data lakes with Apache Iceberg and Delta Lake.
• Designing and building data storage solutions with tools.
• Optimizing tool usage for efficient implementation.
• Best practices for tool implementation.

Module 14: Data Storage Performance Tuning

• Implementing performance tuning for data warehouses and data lakes.
• Utilizing query optimization and indexing techniques.
• Designing and building optimized storage systems.
• Optimizing storage performance and resource utilization.
• Best practices for performance tuning.

Module 15: Future Trends in Data Storage

• Emerging trends in data warehousing and data lakes.
• Utilizing AI for data storage management and optimization.
• Implementing data mesh and data fabric architectures.
• Best practices for future data storage.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.