About This Course
Big Data Hadoop training is designed to equip participants with the skills and knowledge necessary to manage, process, and analyze large datasets using the Hadoop ecosystem. This course covers key components of Hadoop, including HDFS (Hadoop Distributed File System) for storage, and MapReduce for processing large-scale data. Participants will learn to use tools like Hive, Pig, HBase, and Spark for efficient data querying, transformation, and real-time processing. The training includes hands-on projects and real-world case studies, providing practical experience in handling big data challenges. Ideal for data professionals, software developers, and anyone looking to enter the field of big data, this course provides a comprehensive understanding of the Hadoop framework and its applications in various industries to drive data-driven decision-making and innovation.
Skills You Will Learn
- Hadoop Ecosystem Mastery: Understand the core components of the Hadoop ecosystem, including HDFS, MapReduce, YARN, and their functionalities.
- Data Storage and Management: Efficiently store, manage, and retrieve large datasets using Hadoop Distributed File System (HDFS).
- MapReduce Programming: Develop and execute MapReduce programs for processing and analyzing large-scale data.
- Data Querying with Hive: Use Apache Hive for data querying and analysis through an SQL-like interface.
- Data Processing with Pig: Implement data processing workflows using Apache Pig’s high-level scripting language.
- NoSQL Databases with HBase: Work with Apache HBase for real-time read/write access to large datasets.
- Real-Time Data Processing with Spark: Utilize Apache Spark for fast, in-memory data processing and real-time analytics.
- Data Ingestion with Sqoop and Flume: Import and export data between Hadoop and relational databases using Sqoop, and ingest streaming data using Flume.
- Cluster Resource Management with YARN: Manage and allocate cluster resources effectively with Yet Another Resource Negotiator (YARN).
- Data Integration: Integrate Hadoop with other big data tools and platforms for comprehensive data analysis.
- Performance Tuning: Optimize Hadoop jobs and clusters for improved performance and efficiency.
- Data Security: Implement security measures to protect sensitive data within the Hadoop environment.
Key Highlights: Big Data Hadoop Certification Course
- Comprehensive Curriculum: Covers core Hadoop components such as HDFS, MapReduce, YARN, and the Hadoop ecosystem.
- Hands-On Learning: Practical exercises and real-world projects to apply Hadoop skills in big data scenarios.
- Industry Use Cases: Study real-world use cases and applications of Hadoop in various industries.
- Expert Instructors: Gain insights and guidance from experienced Hadoop professionals.
- Certification: Earn a certificate upon course completion to validate your Hadoop skills and enhance your career prospects.
- Career Support: Access resources for resume building, interview preparation, and job placement assistance in the field of big data.
Curriculum
Introduction to Big Data
Overview of Big Data
Characteristics of Big Data (Volume, Velocity, Variety, Veracity, Value)
Big Data Use Cases and Applications
Challenges in Big Data Management
Introduction to Hadoop and Its Ecosystem
Hadoop Architecture and HDFS
Hadoop Installation and Setup
MapReduce Framework
Hadoop Ecosystem Components
Advanced Hadoop Topics
Data Processing with Apache Spark
NoSQL Databases in Big Data
Data Ingestion and ETL
Data Analytics and Visualization
Machine Learning and Big Data
Big Data Project Management
Capstone Project
Your Instructors
₹10,000.00
Material Includes
- Videos
- Booklets
- Guide
