About this Course

The course \"Data Analysis Using Hadoop Tools\" provides a thorough and hands-on introduction to key tools within the Hadoop ecosystem, such as Hive, Pig, HBase, and Apache Spark, for data processing, management, and analysis. Learners will gain practical experience with Hive\'s SQL-like interface for complex data querying, Pig Latin scripting for data transformation, and HBase\'s NoSQL capabilities for efficient big data management. The course also covers Apache Spark\'s powerful in-memory computation capabilities for high-performance data processing tasks. By the end, participants will be equipped with the skills to leverage these technologies within the Hadoop platform to address real-world big data challenges. What makes this course unique is its comprehensive approach to integrating various Hadoop tools into a cohesive workflow. You\'ll not only learn how to use each tool individually but also understand how to effectively combine them to optimize data processing and analysis. Through hands-on exercises and examples, you\'ll gain the confidence and skills to tackle complex data challenges and extract valuable insights from big data. Whether you\'re looking to enhance your data analysis capabilities for work or want to deepen your knowledge of Hadoop and big data tools, this course offers valuable skills that will help you succeed.

Created by: Johns Hopkins University