Big Data is not just a buzzword, but a real phenomenon. Every day, companies around the world collect and process vast amounts of data at high speeds. This data is often unstructured and inconsistent, making it nearly impossible to process using traditional methods. One of the platforms that has proven itself for working with big data is Apache Hadoop. This is an open-source framework in Java that allows processing and storing large volumes of data in clusters using simple programming models. Hadoop is a flexible, fast, and affordable architecture capable of detecting and handling failures at the application level.
Course Overview
In this course led by Suyog Nagaokar, you will gain a comprehensive understanding of the Hadoop architecture and its components:
- HDFS (Hadoop Distributed File System) - for large-scale storage
- YARN (Yet Another Resource Negotiator) - for resource management
- MapReduce - for data processing
- Hive - for SQL-like querying
- Sqoop - for transferring data between Hadoop and relational databases
The course includes both theoretical foundations and practical lab exercises. By the end of the course, you will be able to:
- Grasp the essential elements of the Hadoop ecosystem
- Execute basic Hadoop commands
- Create solutions using each Hadoop component for tackling real-world business challenges
Practical Application
You will install and configure a full Hadoop environment using the Cloudera Quickstart VM directly on your computer. In practice, you will learn to:
- Utilize Sqoop, Hive, and MySQL for data storage and querying
- Craft and execute Hive queries for data analysis on Hadoop
- Manage data clusters efficiently using HDFS, MapReduce, and YARN
- Operate clusters with the Hue interface
Course Requirements
- A PC with a 64-bit version of Windows or Linux and internet access
- At least 8 GB of free (not total) RAM to complete practical tasks (having less will allow you to follow along with the training theory but without practice)
- Basic programming skills, preferably with Python
- Familiarity with the Linux command line is highly advantageous
This course is ideal for both beginners and those who wish to expand their knowledge in Big Data and master one of the industry's most popular frameworks.
