Lambda Architecture | Data Engineer System Design Interview | spark interview questions

What's Covered:
Dive deep into the fundamental concepts of Lambda Architecture, the innovative approach to processing massive-scale, real-time data. From understanding the core principles to practical implementation, this tutorial has you covered.

🚀 Key Highlights:

Introduction to Lambda Architecture: Grasp the foundational concepts and principles that make Lambda Architecture a game-changer in big data processing.
Batch Processing Explained: Explore the batch layer, where historical data is processed and insights are derived through comprehensive, large-scale computations.
Real-Time Stream Processing: Uncover the secrets of the speed layer, where real-time data streams are analyzed for immediate insights and responses.
Serving Layer Dynamics: Understand how the serving layer consolidates results from both batch and speed layers, providing a unified view of processed data.
Use Cases and Applications: Learn about real-world applications and use cases where Lambda Architecture shines, revolutionizing data processing across industries.
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[sivakumark]

It's very clear. Very helpful to upgrade ourselves in system design and architect skills 👍

[Adi]

Why is it called lambda architecture? isn't is same as an ETL/ELT workflow.
Is it only the nature of source data(stream/event) that makes it a lambda architecture?
My question is more around the etymology of this architecture, an architecture on Databricks platform like lakehouse can work on the discussed usecases?

[ayushigupta]

Great content!
Are you on Topmate or any other platform where I can connect with you. Need some career advice/guidance from you.