BIG DATA SERIES: HADOOP DEVELOPER TRAINING PROGRAM An Overview
Contents Contents... 1 BIG DATA SERIES: HADOOP DEVELOPER TRAINING PROGRAM... 1 Program Overview... 4 Curriculum... 5 Module 1: Big Data: Hadoop Introduction... 5 Module 2: Deep dive Hadoop... 5 Module 3: All Things MapReduce... 6 Module 4: All Things Pig... 6 Module 5: All Things Hive... 7 Module 6: All Things HBase... 7 Module 7: Impala and Zookeeper... 7 Module 8: All things Oozie... 8 Module 9: MR Unit Testing Framework... 8 Module 10: Bringing It All-together... 9 Training Details... Error! Bookmark not defined.
Section 1 Program Overview Big Data is the new rage. Here is an opportunity to join the revolution. As the data is growing beyond one s imagination, Enterprises are finding it even harder to manage and run their Businesses effectively. Thankfully Apache Hadoop arrives on the scene, at a perfect time to solve the problems. Join us at edubrake to fully enable your development teams in address everything they need to know to successfully realize ROI on your Big Data investments. Knowledge and training investments pay dividends for years to come. Get all the training you need from our experts on Big Data. Big Data Series: Hadoop Developer Training Program is exactly suited for those who want to learn all things Hadoop. The training enables your team to successfully understand Hadoop architecture, write Map Reduce Programs, bring in and handle data, learn other Hadoop ecosystem applications such as Pig, Hbase, Hive, Flume, Pig, Oozie etc. The training program provides a direct hands on experience along with 40 hrs exercise and certification project. The program is designed to be an Instructor led Virtual training along with a hands on exercise assignments. The student will gain access to an Online Learning Management System to manage their progress and submit the assignments. The students will have weekly office hours for helping them on their exercises.
Section 2 Curriculum Hadoop Developer training program s curriculum is as given below. Module 1: Big Data: Hadoop Introduction. In this module the students will gain complete understanding of what a Big Data technology offers and the architectural consideration for Hadoop and its eco-system components. : Need for Big Data. Grand Entry of Hadoop The Hero. Hadoop Architecture. Hadoop Ecosystem. Home Work Assignment Setup and install Hadoop VM Home Work Assignment Load Preliminary Data + Run Hadoop Commands. Module 2: Deep dive Hadoop In this module, the students will learn a deeper understanding of Hadoop along with the techniques needed to load the data in to the Hadoop Infrastructure. A trip to Hadoopville
MapReduce Introduction Flume Sqoop Module 3: All Things MapReduce In this module, everything about MapReduce will be taught. This module will involve heavy hands-on exercises. Depending upon the speed with which the students cruise through, we may decide even to spend more time on this module. If you get all of this, consider you are already on the path of becoming a Map Reduce expert. Java Map Reduers Streaming Map Reducers Combiners Partitioners and Reducers Algorithms Module 4: All Things Pig In this module, everything about Pig data flow engine. The students will get a clear understanding on the Pig and Pig Latin, the data flow scripting language. Intro to Pig Installing and Running Pig Grunt Types and Schemas Pig Latin
Developing and Testing Module 5: All Things Hive In this module, everything about Hive will be taught. The students will learn how Hive provides an SQL dialect for querying the data stored in Hadoop cluster. Intro to Hive Hive Architecture HiveQL : Data definition and Data Manipulation And everything else about Hive. Module 6: All Things HBase In this module, everything about HBase is discussed. Intro to HBase HBase Usecases HBase Datamodel HBase Schema Design. Module 7: Impala and Zookeeper In this module, the students will get their understanding around Impala and Zookeeper
Intro to Impala Intro to Zookeeper Module 8: All things Oozie In this module, the students will learn everything about Oozie the workflow processor for Hadoop. This module presents lot of opportunities for hands-on. The students will configure Oozie workflow with different kinds of actions and test them together on the Hadoop Infrastructure. Intro to Oozie. Configuring Oozie workflows. Module 9: MR Unit Testing Framework In this module, the students will learn how to test Map Reduce programs on and off the Hadoop infrastructure. Expect again, a lot of hands-on experience on this class. Map Reduce revisited Standalone Testing of Map Reduce Mapper Testing Reducer Testing Counter Testing Complete MR job Testing.
Module 10: Bringing It All-together In this module, the students will re-cap everything they have learned. All of the skills being taught are put in to practice in the form of a Certification Project. Students are required to work on the Certification Project on their own. They will be given 2 weeks of time to submit their Certification Project, which earns them an edubrake Certified Hadoop Professional title.
Section 3 Conclusion edubrake believes strongly in imparting world class high quality professional training for the students. Our instructor employ most cutting edge learning techniques and tools to ensure that the students get a very engaging learning experience. We use different learning methodologies like Mind Mapping techniques, visual story boards etc to breakdown a complex concept in to something that can be easily understood. The training will be delivered in an Instructor Led Virtual Class room. If your organization has specific training needs, please email or call us. The details are given below: edubrake.com 2355 Lebanon Rd, #10102 Frisco, TX 75034 T: 1-972-370-3089 Email : support@edubrake.com