• Types of data and sources in modern enterprises
• Role of analytics in decision-making
• Overview of Hadoop ecosystem
• Real-world use cases across industries
• MapReduce and batch processing
• Resource management with YARN
• Scalability and fault tolerance
• Data flow and cluster design
• Tools such as Sqoop, Flume, and Kafka
• Batch and real-time pipelines
• Data validation and cleansing
• Automation and orchestration
• Transforming and aggregating data
• Performance optimization
• Monitoring and debugging
• Real-world data workflows
• Data modeling and schema design
• Partitioning and optimization
• OLAP workloads
• Reporting and business intelligence
• Data cleansing and transformation
• Handling large datasets
• Optimization strategies
• Integration with Hadoop tools
• RDDs, DataFrames, and SQL
• Advanced analytics
• Real-time processing
• Scalability and tuning
• Building dashboards
• Data storytelling
• KPI tracking
• Decision support
• Feature engineering
• Model evaluation
• Real-world analytics applications
• Integration with big data
• Hybrid and multi-cloud strategies
• Cost optimization
• Cloud-native data workflows
• Automation and scalability
• Case studies in finance, healthcare, and retail
• Data pipeline and dashboard projects
• Hands-on practical scenarios
• Portfolio-ready analytics solutions







