Lambda Architecture Explained with Real-World Example | Crack Data Engineering Interviews!

preview_player
Показать описание
📊 Lambda Architecture Explained | Real-Time + Batch Processing | Interview Prep for Data Engineers

Are you preparing for a Data Engineering interview? Struggling to understand Lambda Architecture or explain it confidently?

In this video, we break down:
✅ What Lambda Architecture is
✅ Its key components: Batch Layer, Speed Layer, Serving Layer
✅ Real-world project example (IoT, Kafka, Spark, Druid)
✅ How to answer Lambda Architecture questions in interviews
✅ Pros, Cons, and how it compares to Kappa Architecture

🔥 Bonus: Sample interview questions and how to handle consistency between batch and speed layers!

🎯 Whether you're working with Databricks, Delta Lake, or AWS Lake Formation, this video will help you master layered data processing architectures.

🔔 Subscribe for more videos on data engineering, AWS, Spark, and real-world project tips.
👍 Like, share, and comment if you found this helpful!

#DataEngineering #LambdaArchitecture #MedallionArchitecture #AWSGlue #Databricks #DeltaLake #DataLakehouse #ETL #DataEngineerInterview #BigData #S3 #ApacheSpark
Рекомендации по теме
Комментарии
Автор

Impressive content, Start Tech. Looking forward to your next video from you. I smashed the thumbs up button on your upload. Keep up the fantastic work! Your explanation of the Lambda architecture was really clear. In your experience, what strategies have proven most effective for maintaining data consistency between the batch and speed layers in complex systems?

KeyserTheRedBeard
join shbcf.ru