Introduction to Big Data and Hadoop

• Understanding big data and its challenges
• Overview of Hadoop and its components
• Use cases and applications of Hadoop

Hadoop Distributed File System (HDFS)

• Overview of HDFS architecture
• File and block storage in HDFS
• Data replication and fault tolerance

MapReduce Programming

• Introduction to MapReduce paradigm
• Writing MapReduce jobs in Java or other languages
• Input and output formats in MapReduce

YARN (Yet Another Resource Negotiator)

• Understanding YARN architecture
• Resource management and job scheduling in YARN
• Configuring and managing YARN applications

Hadoop Ecosystem Tools

• Introduction to Hadoop ecosystem components (Hive, Pig, HBase, etc.)
• Data processing with Hive and Pig
• NoSQL databases with HBase

Hadoop Cluster Setup and Administration

• Configuring and managing Hadoop clusters
• Monitoring and troubleshooting Hadoop clusters
• Backup and recovery strategies

Data Ingestion and ETL (Extract, Transform, Load)

• Importing data into Hadoop from various sources (files, databases, etc.)
• Data extraction, transformation, and loading techniques
• Best practices for data ingestion

Hadoop Security and Authorization

• Securing Hadoop clusters
• Authentication and access control in Hadoop
• Encryption and secure communication

Hadoop Performance Optimization

• Performance tuning and optimization techniques
• Monitoring and profiling Hadoop jobs
• Data compression and serialization

Hadoop Streaming and Custom MapReduce

• Writing MapReduce jobs in languages other than Java (Python, Ruby, etc.)
• Using Hadoop streaming for data processing
• Customizing MapReduce phases and combiners

Data Analysis with Apache Spark

• Introduction to Apache Spark and its integration with Hadoop
• Spark RDDs and transformations
• Data analysis and machine learning with Spark

Real-time Stream Processing with Apache Kafka and Hadoop

• Overview of Apache Kafka and its integration with Hadoop
• Processing real-time streaming data with Kafka and Hadoop
• Building data pipelines for real-time analytics

Hadoop Cluster Optimization and Scalability

• Scaling Hadoop clusters
• Hadoop cluster optimization techniques
• High availability and fault tolerance

Advanced Topics in Hadoop

• Hadoop ecosystem advancements (Apache Hadoop 3.x, Apache Flink, etc.)
• Emerging trends and future directions in Hadoop
• Big data analytics and machine learning in Hadoop