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Hadoop Ecosystem & Related Tools Questions

Overview of the Hadoop ecosystem components (e.g., HDFS, MapReduce, YARN) and related tools (Hive, Pig, HBase, Sqoop, Flume, Oozie, Hue, etc.). Covers batch and streaming data processing, data ingestion and ETL pipelines, data warehousing in Hadoop, and operational considerations for deploying and managing Hadoop-based data pipelines in modern data architectures.

HardTechnical
42 practiced
Propose a 3-year cost model comparing on-prem Hadoop cluster vs cloud-based lake (S3 + EMR). Include CAPEX/OPEX breakdown, storage and compute costs, data egress, staffing, licensing, and operational risk. Explain which metrics and sensitivity analyses you would present to finance and leadership to support the recommendation.
MediumTechnical
45 practiced
You are seeing thousands of small files (~10KB each) in HDFS causing NameNode memory pressure and slow map tasks. Propose three different approaches to mitigate the small-files problem, explain trade-offs for each, and outline when each approach is most appropriate.
EasyTechnical
55 practiced
Describe the common Hadoop file formats Avro, Parquet, and ORC. For each format, explain whether it is row or columnar, how it handles schema (schema-on-read vs schema-in-file), typical compression choices, and which format you would choose for: (a) streaming events with schema evolution, (b) large analytical queries with column pruning.
EasyTechnical
47 practiced
Compare Hive and HBase in terms of data model, query patterns, latency, and typical use cases. For a given use case (analytics over large historical datasets vs random low-latency lookups by key), explain which system you would choose, why, and how you might integrate both in a single architecture.
MediumTechnical
40 practiced
A reducer in a MapReduce job is failing with OutOfMemoryError. List and explain the steps you would take to diagnose and fix this problem, including which logs and metrics to inspect, configuration parameters to tune, and code changes that could reduce memory pressure.

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