Prepare for your Data Engineering interview with the ultimate Streaming Data Interview Guide
This video covers the most frequently asked Streaming Data Interview Questions along with practical explanations and real-world project scenarios.
In this session, you'll learn the core concepts of streaming data processing used in modern data engineering projects and interviews.
Topics Covered:
00:00 Intro
01:05 Kafka
02:38 Spark Streaming
08:18 Streaming Files and Auto Loader
10:32 Streaming Data Processing
11:54 Hanling Late Arriving Data
13:14 Aggregations & Window types
16:04 Stream - Static & Stream - Stream Join
18:47 Real time alerts
20:58 Scenerio based project questions
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About Me
Hi, I'm Narender Kumar, a Senior Data Architect with 12+ years of IT experience and a Databricks Certified Solution Architect Champion.
On this channel, I regularly share content on:
• Databricks
• Apache Spark & PySpark
• Apache Kafka
• Azure Data Engineering
• Data Engineering Projects
• AI for Data Engineers
• Interview Preparation
If this video helps you, please Like, Share, and Subscribe for more Data Engineering tutorials, real-world projects, and interview preparation content.
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