You should know fundamental before going to any Data engineering interview or cloud engineering.
Автор: Techgurukul
Загружено: 2026-01-29
Просмотров: 10
Описание:
Here are clean, interview-oriented bullet points, perfect for slides, YouTube description, or class notes 👇
Understand Big Data fundamentals and why Hadoop is needed
Learn Hadoop Architecture (HDFS, YARN, MapReduce – roles & data flow)
Grasp distributed storage & fault tolerance concepts
Move to Apache Spark architecture (Driver, Executor, Cluster Manager)
Learn Spark processing model (RDD, DataFrame, DAG, lazy execution)
Compare Hadoop vs Spark – when and why to use each
Transition to Cloud fundamentals (IaaS, PaaS, SaaS concepts)
Map Hadoop & Spark to Cloud services (managed clusters, object storage)
Understand Cloud-native data architectures (Data Lake, Lakehouse)
Learn scalability, cost optimization, and security basics in cloud
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