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Hadoop Platform and Application Framework
Course
en
English
5 h
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- Self-paced
- Free Access
- Fee-based Certificate
- 5 Sequences
- Introductive Level
Course details
Syllabus
- Week 1 - Hadoop Basics
Welcome to the first module of the Big Data Platform course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Hadoop stack and tool and technologies associated with B... - Week 2 - Introduction to the Hadoop Stack
In this module we will take a detailed look at the Hadoop stack ranging from the basic HDFS components, to application execution frameworks, and languages, services. - Week 3 - Introduction to Hadoop Distributed File System (HDFS)
In this module we will take a detailed look at the Hadoop Distributed File System (HDFS). We will cover the main design goals of HDFS, understand the read/write process to HDFS, the main configuration parameters that can be tuned to control HDFS performance an... - Week 4 - Introduction to Map/Reduce
This module will introduce Map/Reduce concepts and practice. You will learn about the big idea of Map/Reduce and you will learn how to design, implement, and execute tasks in the map/reduce framework. You will also learn the trade-offs in map/reduce and how t... - Week 5 - Spark
Welcome to module 5, Introduction to Spark, this week we will focus on the Apache Spark cluster computing framework, an important contender of Hadoop MapReduce in the Big Data Arena. Spark provides great performance advantages over Hadoop MapReduce,especially...
Prerequisite
None.
Instructors
Natasha Balac
Director, Predictive Analytics Center of Excellence (PACE)
San Diego Supercomputer Center
Paul Rodriguez
Research Programmer
San Diego Supercomputer Center (SDSC)
Andrea Zonca
HPC Applications Specialist
San Diego Supercomputer Center (SDSC)
Editor
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Platform
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