Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 2 Minute(s)
Language
English
Taught by
Elementary Learners
Rating
Course Overview
Basic Hadoop tutorial
Apache Hadoop is an open-source software framework for distributed storage and distributed processing of large data on computer clusters built from commodity hardware.
In this course we'll discuss about several important aspects of Hadoop like HDFS(Hadoop Distributed File System), MapReduce, Hive, HBase and Pig.
First we'll talk about Overview of Big data means what is Big Data, Facts of Big Data, Scenarios, Hadoop cluster architecture. Then we'll move towards HDFS, Components of HDFS and its architecture, NameNode, Secondary NameNode and DataNode.
Next module is about MapReduce. In this we'll talk about Map Phase and Reduce Phase, Architecture of MapReduce, Combiners and Reducers.
Next module is about PIG. In this we'll see what is Apache Pig, its importance, Pig Latin language, and where to avoid Pig.
Them we'll talk about HBase, we'll talk about its use cases, general commands in HBase, DDL in HBase, DML in HBase, How to create, delete and integrate table in HBase and lot more.
So start learning Hadoop today.
Course Content
- 6 section(s)
- 82 lecture(s)
- Section 1 Module1
- Section 2 Module 2
- Section 3 Module 3
- Section 4 Module 4
- Section 5 Module 5
- Section 6 Module 6
What You’ll Learn
- learn introduction to hadoop, Hadoop Distributed File System(HDFS), MapReduce(MR), Run MapReduce Application using JAVA, Run Word Count example in JAVA, Run Max.Temp. Hadoop MapReduce program in JAVA, HDFS Commands for accessing Hadoop File System, Running Queries in HBase, Different operations in HBase using JAVA API, HBase Architecture, Apache HIVE, Apache PIG
Reviews
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ZZainab Said Aljabri
good
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MMohamed Tawfik
the instructor is reading the slides as a machine he is not give any interaction or question so students can think about he is not give examples on what he is saying you can't know exactly what he is talking about in real life example like when he said that RDBMS is vertical and hadoop is horizontal
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FFrancisco Rodriguez
Yes only the origin of the jars o libraries is not clear. If we are running this course in a mac or PC. The other thing is the language because if you put a neutral English accent the course could be better
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LLaura Morello
The arguments of the course are very interesting, although sometimes the explanations are more complicated than the argument really is.
