Скачать или смотреть Zomato End-to-End Data Pipeline Kafka + Kappa + Elasticsearch Realtime Data Engineering Case Study !

Zomato handles massive Realtime data, Streaming Events, Search, and Analytics? In this video, we break down Zomato’s data pipeline architecture — covering Kappa architecture, Kafka streams, Spark processing, NoSQL storage, Elasticsearch search & data warehousing.

What you’ll get:
What is *Kappa architecture* & why stream‑first pipelines make sense. :contentReference[oaicite:0]{index=0}
How Kafka can power real‑time ingestion & Spark for stream processing and transformations.
Usage of NoSQL systems + Elasticsearch for search & fast querying.
How warehousing is done for analytics & business reporting.
Benefits + challenges from Zomato’s own “Eliminating Bottlenecks in Real‑Time Data Streaming” case. :contentReference[oaicite:1]{index=1}
Key takeaways & best practices if you want to build scalable pipelines like they do.

Whether you’re a Data Engineer, Solution Architect, or building streaming apps, you’ll leave this video with tangible insights & architecture patterns you can use.

Don’t forget to like, subscribe & hit the bell to get alerts when I drop more case studies like this. Leave a comment: which part of pipeline (Kafka, Spark, NoSQL, Search) you want a deep dive into next?

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