Sep '24 (edited) • General
Anyone read Nathan Marz: Big Data?
Nathan Marz, the creator of Apache Storm and author of "Big Data: Principles and best practices of scalable realtime data systems," is a prominent figure in the world of big data and distributed systems. As reported by Manning Publications, Marz developed the Lambda Architecture, a scalable approach to building big data systems that can be implemented by small teams.
Check out this detailed overview of his Apache Storm and Lambda Architecture here:
His approach to big data architecture, specifically the Lambda Architecture, is known for:
- Scalability: The Lambda Architecture is designed to handle massive quantities of data by leveraging both batch and stream processing methods. This scalable approach allows data engineers to build systems that can accommodate growing data volumes and processing requirements.
- Fault tolerance: By using an append-only, immutable data model in the batch layer, the Lambda Architecture provides fault tolerance against hardware failures and human errors. This ensures a reliable system of record and enables data reprocessing if needed.
- Flexibility: The Lambda Architecture can handle a wide range of data processing workloads, from historical batch processing to real-time analytics. This flexibility allows data engineers to support diverse use cases and adapt to changing business requirements.
3
1 comment
Anyone read Nathan Marz: Big Data?
skool.com/data-innovators-exchange
Your source for Data Management Professionals in the age of AI and Big Data. Comprehensive Data Engineering reviews, resources, frameworks & news.
Leaderboard (30-day)
1
+1
2
+1
Powered by