Lakehouse vs. Data Lake: Ideal Uses Cases and Architectural Considerations

Watch this webinar to learn about the practical applications and best practices of Data Lakes and Data Lakehouses, two pivotal technologies shaping the future of data analysis and management. This webinar is an essential guide for data professionals seeking to navigate the complex landscape of data storage and leverage these technologies for business intelligence and big data analysis.

 We will explore the following:

• Architecture Deep Dive: Explore the technical intricacies of Data Lakes and Data Lakehouses, including their architectural differences and how they impact data storage, processing, and serving.
• Table Formats: Review the file and table formats used to store and manage data, including their origin story, strengths and weaknesses, and ecosystem maturity.
• Scalability and Performance: Understand how each solution scales in response to growing data volumes and their respective impacts on query performance and data processing efficiency.
• Data Governance and Schema Management: Examine the approaches to data governance, schema-on-read vs. schema-on-write strategies, and their implications for data integrity, security, and compliance.
• Best Practices for Migration and Integration: Learn advanced techniques for transitioning from Data Lakes to Lakehouses, focusing on data migration, schema evolution, and integrating transactional processing capabilities for real-time analytics.

We are pleased to present our speakers, Jason Hall and Roy Hasson, both from Upsolver.

Jason Hall, serving as a Senior Solution Architect, brings over 15 years of industry experience, addressing challenges in various organizational contexts. 

Roy Hasson, in his role as VP of Product, contributes extensive knowledge from his previous position as a product manager for AWS Glue and AWS Lake Formation. 

Their combined expertise provides a comprehensive understanding of data storage technologies.