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

About this course

Welcome to our comprehensive course on Big Data and Hadoop! In this course, we dive deep into the world of big data technologies, focusing on Hadoop, one of the most powerful and widely used frameworks for processing large-scale data sets.Throughout this course, you'll learn the fundamentals of Hadoop, including its architecture, components, and applications. We'll cover everything from the basics of big data and Hadoop to advanced topics such as MapReduce, HDFS, Hive, Pig, and more.Whether you're a beginner looking to understand the basics of big data or an experienced professional seeking to enhance your skills in Hadoop ecosystem technologies, this course has something for everyone. Get ready to explore the exciting field of big data and unleash the power of Hadoop for solving real-world data challenges. Join us on this journey as we unlock the potential of big data together! We will learn the followings section-wise:Section 1: Big Data and Hadoop Training IntroductionIn this section, students are introduced to the foundational concepts of Big Data and Hadoop training. They begin by understanding the significance of Hadoop in handling large volumes of data efficiently. Through a series of introductory sessions, learners familiarize themselves with the landscape of Big Data and Hadoop technology, setting the stage for more in-depth exploration in subsequent sections.Section 2: Hadoop Architecture and HDFSMoving on to the architecture of Hadoop and its distributed file system (HDFS), this section delves into the core components of Hadoop 1.0. Students gain insights into the storage layer of Hadoop and the placement policies governing data distribution across the cluster. Through hands-on exercises and cluster setup tutorials, learners develop a solid understanding of Hadoop's architecture and its practical implementation in real-world scenarios.Section 3: MapReduce FundamentalsIn this section, students d

Course objectives

• familiarize students with big data technologies
• develop a solid understanding of Hadoop's practical applications
• enhance skills in real-world data challenges