
Ace your Big Data interview. This video covers Big Data interview questions and answers for freshers and experienced candidates. Learn about Hadoop ecosystem, HDFS, MapReduce, YARN, Apache Spark, Hive, Kafka, data ingestion pipelines, data partitioning, and fault tolerance and more. We’ll cover everything from basic to advanced and scenario-based questions to help you clear Big Data analytics interview.
👉 Below are the concepts we covered in this video on Top Big Data Interview Questions and Answers:
✅ Big Data Interview Questions For Freshers:
00:00:00 Introduction
00:00:57 What is big data
00:01:58 What are the 5vs of big data
00:03:38 What is hadoop
00:04:32 What is HDFS
00:05:36 What is MapReduce
00:06:44 What is Apache Spark
00:07:33 What is data lake
00:08:22 What is the difference between data warehouse and data lake
00:09:15 What is YARN in hadoop
00:10:03 What is NoSQL database
✅ Big Data Interview Questions For 1 Year Experience:
00:10:53 What is the difference between Spark and Hadoop MapReduce
00:12:14 What is Apache Kafka
00:13:09 What is distributed file system
00:14:03 What is partitioning in big data
00:14:51 What is data replication in HDFS
00:15:35 What is Apache Hive
00:16:18 Explain Spark RDD
00:17:07 What is stream processing
00:17:48 What is schema-on-read
00:18:36 What is the difference between OLTP and OLAP
✅ Advanced Big Data Interview Questions
00:19:27 What is CAP theorem
00:20:23 Explain spark execution model
00:21:13 What is delta lake
00:21:59 What is event sourcing in big data
00:22:40 How does kafka ensure message durability
00:23:25 Explain the lambda architecture
00:24:11 What is Zookeper’s role in big data systems
00:24:56 What is columnar storage and why is it useful
00:25:41 Explain data skew and how to handle it
00:26:23 What is a lakehouse architecture
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