Hadoop Online Training
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Course Features
Real-time Use cases
24/7 Lifetime Support
Certification Based Curriculum
Flexible Schedules
One-on-one doubt clearing
Career path guidance
- Learn & practice Course Concepts
- Course Completion Certificate
- Earn an employer-recognized Course Completion certificate by Ziventra.
- Resume & LinkedIn Profile
- Mock Interview
- Qualify for in-demand job titles
- Career support
- Work Support
Hadoop Online Training Content
You will be exposed to the complete Hadoop Training course details in the below sections.
Topic-wise Content Distribution
Introduction to Big Data and Hadoop
- Overview of Big Data and its characteristics (Volume, Velocity, Variety, Veracity, Value)
- Real-world use cases: Retail, Healthcare, Finance
- What is Hadoop? Its need and evolution
- Core Components: HDFS and MapReduce
- Hadoop Ecosystem: Hive, Pig, Sqoop, Spark, Oozie
- Comparison with traditional systems
- Applications of Hadoop in the industry
Hadoop Ecosystem and Architecture
- Overview of HDFS, MapReduce, and YARN
- Supporting tools: Hive, Sqoop, Pig, HBase, Spark
- Master-Slave Architecture and core components
- HDFS: NameNode, DataNode, Secondary NameNode
- YARN: ResourceManager, NodeManager, ApplicationMaster
- Cluster setup modes: Single-node, pseudo-distributed, fully distributed
- Configuration files: core-site.xml, hdfs-site.xml, mapred-site.xml
- Rack awareness and block placement strategies
HDFS (Hadoop Distributed File System)
- Design principles, replication, and fault tolerance
- Read/write operations in HDFS
- HDFS commands (CLI and API-based)
- Data ingestion and management using Java API
- HDFS Federation and High Availability
MapReduce Programming
- Framework basics, key-value concepts, and data flow
- Writing MapReduce programs in Java
- Advanced MapReduce: Partitioners, sorting, shuffling, custom Writable
- Performance tuning, combiners, and secondary sorting
- Real-world use cases: Weather analysis, log file processing
Advanced Hadoop
- Distributed cache and side data distribution
- Input formats: Text, Sequence, Avro, XML
- Compression techniques: Snappy, Gzip, Bzip2
- Monitoring, debugging, and testing with MRUnit
- Scheduling and performance optimization
Hive (Data Warehousing on Hadoop)
- Introduction to Hive architecture and HiveQL
- Installation and configuration
- Working with tables: internal, external, partitioned, and bucketed
- Joins (inner, outer, map-side), UDFs, and query optimization
- Advanced features: Views, indexing, windowing, and analytical functions
- Integration with Java and Thrift Server
Sqoop (Data Transfer between Hadoop and RDBMS)
- Introduction, installation, and configuration
- Importing and exporting structured data
- Data migration from relational databases to Hadoop and vice versa
- Using Sqoop with Hive and HBase
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Hands on Hadoop Projects
Our Hadoop Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.
Training Options
Choose your own comfortable learning experience.
On-Demand Training
Self-Paced Videos
- 30 hours of Training videos
- Curated and delivered by industry experts
- 100% practical-oriented classes
- Includes resources/materials
- Latest version curriculum with covered
- Get one year access to the LMS
- Learn technology at your own pace
- 24×7 learner assistance
- Certification guidance provided
- Post sales support by our community
Live Online (Instructor-Led)
30 hrs of Remote Classes in Zoom/Google meet
- Live demonstration of the industry-ready skills.
- Virtual instructor-led training (VILT) classes.
- Real-time projects and certification guidance.
For Corporates
Empower your team with new skills to Enhance their performance and productivity.
Corporate Training
- Customized course curriculum as per your team’s specific needs
- Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
- Resources such as slides, demos, exercises, and answer keys included
- Complete guidance on obtaining certification
- Complete practical demonstration and discussions on industry use cases
Served 130+ Corporates
Our Training Prerequisites
Prerequisites for Hadoop Online Training
- Basic programming knowledge (Java recommended, Python/SQL helpful).
- Understanding of Linux commands and environments.
- Familiarity with databases (RDBMS concepts, SQL queries).
- A keen interest in solving Big Data challenges.
Talk to our team directly
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