Big Data

Data engineering, distributed computing, and scalable solutions

Core Technologies

Hadoop Ecosystem

Distributed storage and processing with HDFS and MapReduce

Apache Spark

Fast and general-purpose cluster computing system

NoSQL Databases

Scalable and flexible data storage solutions

Container Orchestration

Scalable deployment and management of data pipelines

Key Concepts

Distributed Systems

  • Parallel Processing
  • Fault Tolerance
  • Horizontal Scaling
  • Load Balancing

Data Storage

  • Data Lakes
  • Data Warehouses
  • ETL Processes
  • Data Governance

Cloud Computing

  • AWS Services
  • Azure Solutions
  • GCP Platform
  • Cloud Security

Industry Use Cases

E-commerce Analytics

Real-time processing of customer behavior, inventory management, and recommendation systems

Apache KafkaSpark StreamingRedis

Financial Services

High-frequency trading, fraud detection, and risk analysis using big data

HadoopApache FlinkElasticsearch

IoT Data Processing

Processing and analyzing data from millions of connected devices

MQTTApache CassandraInfluxDB

Healthcare Analytics

Processing patient data, medical imaging, and predictive healthcare

HDFSApache HBaseTensorFlow

Learning Resources

Hands-on Tutorials

Case Studies

Best Practices