Big Data: Hadoop| MapReduce| Hive| Pig| NoSQL| Mahout| Oozie

Learn Hadoop, HDFS, MapReduce, Hive, Pig, NoSQL, Mahout, Oozie, Flume, Storm, Avro, Spark, Projects and Case studies.

Created by: EDUCBA Bridging the Gap
Learn real world skills online

What Will I Learn?

• Introduction to Big Data and Hadoop. Overview of Hadoop Training. Scenario of Big Data Hadoop. Hadoop Architecture and HDFS.
• Hadoop Distributed File System. Hadoop MapReduce Fundamentals. Advanced MapReduce Techniques. HIVE Fundamentals and Advanced Concepts.
• PIG Fundamentals and Advanced Techniques. NoSQL Fundamentals. Apache Mahout for Machine Learning. Apache Oozie for Workflow Orchestration.
• Apache Flume for Data Ingestion. Apache Storm for Real-time Data Processing. Apache Avro for Data Serialization. Apache Spark Fundamentals, Advanced Concepts
• Hands-on Hadoop Projects in Various Domains. Hadoop on Cloudera Environment. Log Data Analysis with Hadoop. Social Media Analysis Using Hadoop.
• YouTube Data Analysis with Hadoop. Health Survey Analysis Using HDFS. Traffic Violation Analysis. E-Commerce Sales Analysis.
• Hive/MapReduce for Customer Complaints Analysis. Sensor Data Analysis Using PIG/MapReduce. Spark Streaming for Twitter Data Analysis.
• Telecom Industry Analysis Using Hive. Faculty Data Management with HDFS. Tourism Survey Analysis. Salary Analysis.
• Comprehensive Understanding of Big Data Technologies.

Requirements

• Basic Computer Knowledge
• Basic knowledge of Java and SQL will serve as an added advantage
• No prior knowledge is required. The course starts from scratch and will go to an advanced level with different projects
• There are no special skills needed to take this Hadoop course

Target audience

• Data Analysts seeking to enhance their skills in Big Data technologies.
• Software Engineers interested in transitioning into the field of Big Data.
• IT Professionals aiming to specialize in Hadoop ecosystem tools and technologies.
• Data Scientists looking to leverage Hadoop for large-scale data processing and analysis.
• Business Intelligence (BI) professionals interested in harnessing Big Data for insights and decision-making.
• Graduates and undergraduates aspiring to build a career in Big Data and Hadoop.
• Professionals from diverse industries seeking to gain proficiency in Big Data analytics.
• Individuals interested in upskilling or reskilling to stay relevant in the rapidly evolving field of data science and analytics.