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Big Data Analytics

Learn to process, analyze, and visualize massive datasets using Hadoop, Spark, Kafka, Hive, NoSQL, cloud platforms, and advanced machine learning. Gain practical experience with real-time and batch processing, distributed computing, and business intelligence

Creator: Alchemy Trainer

Updated At: Jul 06, 2025

Course Preview

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₹1500.00

What You Will Learn

  • ✔Understand the 5 Vs of Big Data: Volume, Velocity, Variety, Veracity, Value
  • ✔Master the big data ecosystem: Hadoop, Spark, Kafka, Hive, NoSQL, and more
  • ✔Process and analyze data using batch and real-time architectures
  • ✔Build and optimize distributed data pipelines for analytics and machine learning
  • ✔Design and query data warehouses and cloud-native analytics platforms

Course Content
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  • What is Big Data? 5 Vs: Volume, Velocity, Variety, Veracity, Value
  • Evolution from traditional BI to big data analytics

  • Understanding Hadoop Distributed File System (HDFS)
  • MapReduce programming model
  • Introduction to YARN for resource management

  • Spark architecture: RDDs, DataFrames, DAG scheduler
  • Spark SQL and data manipulation at scale
  • Spark MLlib for scalable machine learning

  • Traditional vs cloud-native data warehouses
  • HiveQL for distributed SQL queries

  • Traditional vs cloud-native data warehouses
  • HiveQL for distributed SQL queries

  • Apache Kafka for data ingestion and pub-sub architecture
  • Stream processing with Apache Flink and Spark Streaming
  • Event-driven architecture for time-sensitive applications

  • Streaming sentiment analysis from social media
  • Predictive maintenance using IoT sensor data
  • Fraud detection with transaction streams