Hadoop
Hadoop
Module 1: Introduction to Big Data and Hadoop
- Definition and characteristics of Big Data
- Importance and challenges
- Introduction to Apache Hadoop
- Hadoop’s role in handling Big Data
- Components of the Hadoop ecosystem (HDFS, MapReduce, etc.)
- Hadoop distributions and versions
Module 2: Hadoop Distributed File System (HDFS)
- Overview of the HDFS architecture
- Data storage and retrieval in HDFS
- Interacting with HDFS using command-line tools
- Managing files and directories in HDFS
Module 3: MapReduce Programming Model
- Understanding the MapReduce programming model
- Key components: Mapper, Reducer, and Shuffling
- Developing and running MapReduce applications
- Debugging MapReduce programs
Module 4: Hadoop Programming Languages
- Basics of Java programming for Hadoop
- Writing MapReduce programs in Java
- Overview of using Python with Hadoop
- Developing MapReduce applications in Python
Module 5: Hadoop Ecosystem – Beyond MapReduce
- Introduction to Hive for data warehousing
- Querying data using HiveQL
- Overview of Pig for high-level scripting
- Writing Pig Latin scripts
Module 6: Apache Spark and Hadoop Integration
- Overview of Spark and its advantages
- Spark’s relationship with Hadoop
- Basics of Scala programming for Spark
- Developing Spark applications
Module 7: Hadoop Cluster Setup and Administration
- Planning and setting up a Hadoop cluster
- Configuring nodes and services
- Tools for monitoring Hadoop clusters
- Performing maintenance tasks
Module 8: Hadoop Security
- Authentication and authorization in Hadoop
- Implementing Hadoop security features
- Ensuring data privacy and compliance
- Securing Hadoop applications
Module 9: Hadoop Case Studies and Real-World Applications
- Analyzing successful Hadoop implementations
- Case studies from various industries
- Applying Hadoop skills to real-world scenarios
- Developing and presenting Hadoop projects
Module 10: Future Trends in Hadoop and Big Data
- Evolving Technologies – Exploring emerging technologies in Big Data – Trends in the Hadoop ecosystem
- Career Opportunities and Continuous Learning – Career paths and opportunities in Big Data and Hadoop – Strategies for continuous learning and professional growth