Getting Started

List of Probable Project Topics

• Batch ETL Pipeline with Spark (clean → transform → store in Parquet; partitioning strategy)
• Streaming Analytics Dashboard (Kafka-like stream → Spark Streaming → real-time KPIs)
• Log Analytics at Scale (web/server logs: sessionization, funnels, anomaly spikes)
• Clickstream Processing System (event ingestion + user journeys + cohort retention)
• Social Media Text Mining Pipeline (topic/sentiment at scale; distributed NLP features)
• IoT Sensor Data Platform (time-series ingestion, aggregation, alert rules)
• Fraud/Anomaly Detection on Big Transactions (feature generation + scalable scoring)
• Large-Scale Recommendation Data Prep (implicit feedback matrix building + sampling)
• Distributed Join & Query Optimization Study (broadcast vs shuffle joins; benchmarks)
• Data Lakehouse Build (raw/bronze → silver → gold layers; Delta/Iceberg-like design)
• NoSQL vs SQL Benchmarking (MongoDB/Cassandra vs Postgres for read/write workloads)
• Search Indexing Pipeline (ingest docs → build inverted index/Elasticsearch-style analysis)
• Graph Processing Project (PageRank/community detection using GraphX or similar)
• Cloud Cost & Performance Tuning (cluster sizing, partitioning, caching, resource configs)
• Large-Scale Deduplication & Entity Resolution (blocking + similarity joins)
• Air Quality / Weather Big Data Analytics (multi-source ingestion + geo/time aggregations)
• Data Quality Monitoring System (schema checks, drift detection, alerting)
• End-to-End BI on Big Data (warehouse tables + aggregated marts + dashboarding)