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UT Dallas CS 6350 - BigDataHadoop_PPT_Lesson00

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Copyright 2014, Simplilearn, All rights reserved. Copyright 2014, Simplilearn, All rights reserved. Lesson 0—Course Introduction Big Data and Hadoop DeveloperCopyright 2014, Simplilearn, All rights reserved. ● Describe the fundamental concepts of Hadoop ● Apply programming skills in MapReduce ● Utilize Big Data analytic skills using Pig and Hive ● Explain the HBase data model and its components ● Describe how ZooKeeper and Sqoop address the challenges associated with distributed computing By the end of this course, you will be able to: Course Objectives 2Copyright 2014, Simplilearn, All rights reserved. This training course provides the following: ● A detailed introduction to the basics of Apache Hadoop ● Knowledge about Hadoop ecosystem, Hadoop Distributed File System, Hadoop Cluster, MapReduce, Pig, Hive, HBase, ZooKeeper, Sqoop, Flume, and so on ● An overview of the installation and configuration steps for various Hadoop components ● Programming skills relevant to the various Hadoop components Course Overview 3Copyright 2014, Simplilearn, All rights reserved. Following are the target audience of this course: ● Professionals aspiring for a career in Big Data analytics using Apache Hadoop ● Analytics professionals, IT professionals, ETL developers, project managers, and testing novices and experts ● Other aspirants and students looking forward to gain a thorough understanding of the implementation of Hadoop framework The course prerequisites are as follows: ● Knowledge of any programming language ● Fundamental programming skills ● Working knowledge of Java (not mandatory) Course Overview (contd.) 4Copyright 2014, Simplilearn, All rights reserved. Hadoop professionals will be: ● equipped with Hadoop framework skills in the fast-growing Big Data analytics industry. ● enabled to process a huge amount of data with a high level of efficiency as the industry switches over from Excel-based analytics to real-time analytics. ● distinguished from other Big Data professionals due to their thorough knowledge and skill set. ● in demand across all leading organizations worldwide over the next decade. ● able to derive the benefits from the emerging Big Data industry. Value to Professionals 5Copyright 2014, Simplilearn, All rights reserved. Following is the list of lessons covered in this course: Lessons Covered Lesson Number Lesson Name Lesson 1 Introduction to Big Data and Hadoop Lesson 2 Getting Started with Hadoop Lesson 3 Hadoop Architecture Lesson 4 Hadoop Deployment Lesson 5 Introduction to MapReduce Lesson 6 Advanced HDFS and MapReduce Lesson 7 Pig Lesson 8 Hive Lesson 9 HBase Lesson 10 Commercial Distribution of Hadoop Lesson 11 ZooKeeper, Sqoop, and Flume Lesson 12 Ecosystem and Its Components Lesson 13 Hadoop Administration, Troubleshooting, and Security 6Copyright 2014, Simplilearn, All rights reserved. Thank You Copyright 2014, Simplilearn, All rights


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UT Dallas CS 6350 - BigDataHadoop_PPT_Lesson00

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