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A complete, India-focused roadmap to become a Big Data Engineer. This path covers Hadoop ecosystem, HDFS, MapReduce, YARN, Hive, Kafka, Spark (Batch + Streaming), Flink, NoSQL, Airflow, data lakes, cloud platforms (AWS/GCP/Azure), observability, and scalable distributed systems. Includes free-first learning resources and project-based verification.
Build solid foundations: Python, SQL, Linux, networking, and scripting.
Focus on Python scripting, file handling, generators, multiprocessing, and basic data manipulation.
Learn OLAP SQL, joins, window functions, partitions, aggregates, indexing and optimizations.
Learn shell commands, process management, SSH, ports, firewalls, networking fundamentals.
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