Data Lakehouse Architecture Training Course: Unified Data Platform

Introduction

Revolutionize your data management with our Data Lakehouse Architecture Training Course. This program is designed to equip you with the essential skills to combine the benefits of data lakes and data warehouses, enabling you to build a unified data platform for diverse analytics and machine learning workloads. In today's data-driven world, mastering data lakehouse architecture is crucial for organizations seeking to streamline their data pipelines and democratize data access. Our data lakehouse training course offers hands-on experience and expert guidance, empowering you to leverage the best of both data lakes and data warehouses.

This unified data platform training delves into the core concepts of data lakehouse architecture, covering topics such as schema enforcement, ACID transactions, and data governance. You'll gain expertise in using industry-standard tools and techniques to combine the benefits of data lakes and data warehouses, meeting the demands of modern data-intensive organizations. Whether you're a data architect, data engineer, or data scientist, this Data Lakehouse Architecture course will empower you to design and implement a flexible and scalable data platform.

Target Audience:

• Data Architects
• Data Engineers
• Data Scientists
• Business Intelligence Developers
• Cloud Architects
• Data Analysts
• Anyone needing data lakehouse architecture skills

Course Objectives:

• Understand the fundamentals of data lakehouse architecture.
• Master schema enforcement and data governance in a lakehouse.
• Utilize ACID transactions and data versioning for data reliability.
• Implement data lakehouse patterns for diverse analytics workloads.
• Design and build efficient data pipelines for lakehouse environments.
• Optimize lakehouse performance for query and processing speeds.
• Troubleshoot and address common challenges in lakehouse deployments.
• Implement data security and access control in lakehouse architectures.
• Integrate data lakehouse with various data sources and analytics tools.
• Understand how to handle large-scale data processing in a lakehouse.
• Explore advanced lakehouse features (e.g., data streaming, machine learning integration).
• Apply real world use cases for data lakehouse architectures.
• Leverage data lakehouse tools and frameworks for efficient implementation.

Duration

10 Days

Course content

Module 1: Introduction to Data Lakehouse Architecture

• Fundamentals of data lakehouse architecture.
• Overview of data lake and data warehouse integration.
• Setting up a data lakehouse development environment.
• Introduction to lakehouse principles and components.
• Best practices for lakehouse architecture.

Module 2: Schema Enforcement and Governance

• Mastering schema enforcement and data governance in a lakehouse.
• Utilizing schema evolution and data validation.
• Implementing data governance policies and procedures.
• Designing and building data catalogs.
• Best practices for schema management.

Module 3: ACID Transactions and Data Versioning

• Utilizing ACID transactions and data versioning for data reliability.
• Implementing transactional data updates and deletes.
• Designing and building data versioning systems.
• Optimizing data consistency and reliability.
• Best practices for data transactions.

Module 4: Lakehouse Data Patterns

• Implementing data lakehouse patterns for diverse analytics workloads.
• Utilizing data lakehouse for batch and streaming data.
• Designing and building data lakehouse applications.
• Optimizing data patterns for specific use cases.
• Best practices for patterns.

Module 5: Data Pipelines for Lakehouse

• Designing and building efficient data pipelines for lakehouse environments.
• Utilizing data ingestion and transformation tools.
• Implementing automated data pipelines.
• Optimizing pipelines for data lakehouse performance.
• Best practices for pipelines.

Module 6: Lakehouse Performance Optimization

• Optimizing lakehouse performance for query and processing speeds.
• Utilizing data partitioning and indexing.
• Implementing query optimization techniques.
• Designing scalable performance strategies.
• Best practices for performance.

Module 7: Troubleshooting Lakehouse Deployments

• Troubleshooting and addressing common challenges in lakehouse deployments.
• Analyzing data lakehouse logs and errors.
• Utilizing problem-solving techniques for resolution.
• Resolving common lakehouse issues.
• Best practices for troubleshooting.

Module 8: Data Security and Access Control

• Implementing data security and access control in lakehouse architectures.
• Utilizing data encryption and access policies.
• Designing and building secure lakehouse environments.
• Optimizing security for data protection.
• Best practices for security.

Module 9: Integration with Data Tools

• Integrating data lakehouse with various data sources and analytics tools.
• Utilizing data connectors and APIs.
• Implementing lakehouse with cloud-native data platforms.
• Optimizing integration for data consumption.
• Best practices for integration.

Module 10: Large-Scale Lakehouse Processing

• Understanding how to handle large-scale data processing in a lakehouse.
• Utilizing distributed data processing frameworks.
• Implementing data aggregation and analytics.
• Designing scalable lakehouse solutions.
• Best practices for large scale data.

Module 11: Advanced Lakehouse Features

• Exploring advanced lakehouse features (data streaming, machine learning integration).
• Utilizing data streaming for real-time lakehouse updates.
• Implementing machine learning models within the lakehouse.
• Designing and building advanced lakehouse solutions.
• Optimizing advanced techniques for specific applications.
• Best practices for advanced features.

Module 12: Real-World Use Cases

• Implementing data lakehouse for enterprise data warehousing.
• Utilizing data lakehouse for real-time analytics.
• Implementing data lakehouse for machine learning applications.
• Utilizing data lakehouse for data democratization.
• Best practices for real-world applications.

Module 13: Lakehouse Tools Implementation

• Utilizing data lakehouse tools and frameworks (Delta Lake, Apache Iceberg).
• Implementing lakehouse with specific tools.
• Designing and building automated lakehouse workflows.
• Optimizing tool usage for efficient development.
• Best practices for tool implementation.

Module 14: Lakehouse Monitoring and Metrics

• Implementing lakehouse monitoring and metrics.
• Utilizing lakehouse performance metrics and logs.
• Designing and building performance dashboards.
• Optimizing monitoring for real-time insights.
• Best practices for monitoring.

Module 15: Future Trends in Lakehouse Architecture

• Emerging trends in data lakehouse architecture.
• Utilizing AI for lakehouse automation.
• Implementing lakehouse in cloud-native environments.
• Best practices for future applications.

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.