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Comprehensive Hadoop: Big Data Processing & Analysis
Master Hadoop ecosystem for big data processing. Learn HDFS, MapReduce, Spark, and advanced tools for data management and analysis in this hands-on course.
Course Cost
Free course
Intermediate
Skill Level
15 Hours
Self-paced lessons
This comprehensive course provides in-depth training in Hadoop and its ecosystem. Starting with core components like HDFS and MapReduce, students progress through advanced topics including Pig, Hive, and Spark programming. The curriculum covers both relational and non-relational databases, real-time data processing, and cluster management. Practical exercises using real datasets help master concepts from basic data manipulation to complex analytics. The course emphasizes hands-on learning with the Hortonworks Data Platform, preparing participants for real-world big data challenges.
English
What you'll learn
Master Hadoop ecosystem setup and configuration
Implement distributed data processing with MapReduce
Develop applications using Pig, Hive, and Spark
Manage and optimize Hadoop cluster performance
Integrate various databases with Hadoop
Design real-world big data processing systems
Skills you'll gain
This course includes:
817 Minutes PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 12 modules in this course
This comprehensive course explores the entire Hadoop ecosystem for big data processing and analysis. Students learn to work with core components like HDFS and MapReduce, and advanced tools including Spark, Hive, and Pig. The curriculum covers both batch and streaming data processing, database integration, and cluster management. Practical exercises focus on real-world scenarios, from basic data manipulation to complex analytics using tools like MLLib for machine learning. Special attention is given to performance optimization and choosing appropriate technologies for different use cases.
Learning All the Buzzwords and Installing the Hortonworks Data Platform Sandbox
Module 1 · 56 Minutes to complete
Using the Hadoop's Core: Hadoop Distributed File System (HDFS) and MapReduce
Module 2 · 1 Hours to complete
Programming Hadoop with Pig
Module 3 · 1 Hours to complete
Programming Hadoop with Spark
Module 4 · 1 Hours to complete
Using Relational Datastores with Hadoop
Module 5 · 1 Hours to complete
Using Non-Relational Data Stores with Hadoop
Module 6 · 2 Hours to complete
Querying Data Interactively
Module 7 · 1 Hours to complete
Managing Your Cluster
Module 8 · 1 Hours to complete
Feeding Data to Your Cluster
Module 9 · 1 Hours to complete
Analyzing Streams of Data
Module 10 · 1 Hours to complete
Designing Real-World Systems
Module 11 · 1 Hours to complete
Learning More
Module 12 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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