Course Code: BD0111EN
Audience: Anyone
Course Level: Beginner
Time to Complete: 5-6 hours
Language: English
Learn the basics of Apache Hadoop, a free, open source, Java-based programming framework. Why was it invented?
Learn about Hadoop's architecture and core components, such as MapReduce and the Hadoop Distributed File System (HDFS).
Learn how to add and remove nodes from Hadoop clusters, how to check available disk space on each node, and how to modify configuration parameters.
Learn about other Apache projects that are part of the Hadoop ecosystem, including Pig, Hive, HBase, ZooKeeper, Oozie, Sqoop, Flume, among others. BDUprovides separate courses on these other projects, but we recommend you start here.
Warren has been with IBM for over 30 years. For the last 16 years, he has worked in Information Management education where he has been both an instructor and a course developer in the Data Warehouse and Big Data curriculums. For the nine years prior to his joining IBM, he was an application programmer and was responsible for developing a training program for newly hired programmers.
Asma Desai just recently started with IBM. She has developed course content for introductory Java and graph theory. Prior to course development, she worked as a consultant using Big Data to fight fraud.
Daniel Tran is an IBM Co-op Student working as a Technical Curriculum Developer in Toronto, Ontario. He develops courses to improve the education of customers who seek knowledge in the Big Data field. He has also reworked previously developed courses, updating them to be compatible with the newest software releases, as well as work at the forefront of recreating courses on a newly developed cloud environment. He has worked with various components that deal with Big Data, including Hadoop, Pig, Hive, HBase, MapReduce & YARN, Sqoop, Oozie, and Phoenix. He has also worked on separate courses involving Machine Learning. Daniel is from the University of Alberta, where he has completed his third year of traditional Computer Engineering Co-op.
Asma Desai is the Ombud for Hadoop content on IBM Big Data U as well as the Platform Architect for Big Data U Labs. As a senior software developer at IBM, he uses Ruby, Python, and Javascript to develop microservices and web applications, as well as manage containerized infrastructure.