Location

Community Services & Continuing Education - Cairo

Objectives

• Hadoop is a framework for storing and processing big data, while big data is a term used to describe large and complex data sets that are difficult to process using traditional methods. Hadoop can be used to process big data by dividing it into smaller blocks that can be processed in parallel.

Outcomes

The students will be able to• Identify Big Data and its Business Implications. • List the components of Hadoop and Hadoop Eco-System • Access and Process Data on Distributed File System • Manage Job Execution in Hadoop Environment • Develop Big Data Solutions using Hadoop Eco System• Develop and Modeling Big data Lake Warehouse • Analyze Infosphere BigInsights Big Data Recommendations.• Apply Machine Learning Techniques using Spark and python.

Course Contents

• Provide hands on Hadoop Eco System• Understand the Big Data Platform and its Use cases and how to be a big data engineer.• Provide an detailed overview of Apache Hadoop.• Provide HDFS Concepts and Interfacing with HDFS and all and study all Linux command.• Understand Map Reduce Jobs • Apply ETL USING SQOOP tool.• Apply analytics and study USING HIVE SQL tool.• LEARN How to write using bash script language.• learn how to write spark and python scripts