Hadoop Starter Kit

What you'll Learn:-

• Understand the Big Data problem in terms of storage and computation
• Understand how Hadoop approach Big Data problem and provide a solution to the problem
• Understand the need for another file system like HDFS
• Work with HDFS
• Understand the architecture of HDFS
• Understand the MapReduce programming model
• Understand the phases in MapReduce
• Envision a problem in MapReduce
• Write a MapReduce program with complete understanding of program constructs
• Write Pig Latin instructions
• Create and query Hive tables

Hadoop Starter Kit

Requirements

simple linux commands

simple Java know-how is only needed to understand MapReduce programming in Java. Pig, Hive and other training does not need Java knowledge

Description

The goal of this direction is to stroll you thru little by little of all of the core additives in Hadoop but extra importantly make Hadoop getting to know revel in clean and amusing.

via enrolling in this route you may additionally get loose get entry to to our multi-node Hadoop training cluster so that you can strive out what you research proper away in a actual multi-node dispensed surroundings.

about teacher(S)

we're a collection of Hadoop specialists who're obsessed on Hadoop and huge facts technology. four years ago while we have been searching out big statistics specialists to paintings in our own tasks we did not locate certified applicants because the huge information enterprise was very new and as a result we got down to teach certified candidates in massive facts ourselves giving them a deep and real world insights in to Hadoop.

WHAT you may research in this direction

within the first section you will find out about what is huge statistics with examples. we are able to talk the factors to remember when thinking about whether or not a trouble is huge information problem or now not. we can communicate approximately the challenges with present technology in terms of massive statistics computation. we can breakdown the huge records hassle in phrases of garage and computation and recognize how Hadoop methods the hassle and offer a method to the hassle.

inside the HDFS, section you may learn about the want for another report system like HDFS. we will evaluate HDFS with conventional document structures and its benefits. we are able to also paintings with HDFS and speak the structure of HDFS.

inside the MapReduce phase you'll study the basics of MapReduce and phases involved in MapReduce. we can move over every phase in detail and recognize what takes place in each phase. Then we will write a MapReduce program in Java to calculate the maximum ultimate price for inventory symbols from a inventory dataset.

inside the subsequent two sections, we are able to introduce you to Apache Pig & Hive. we are able to try to calculate the maximum ultimate fee for inventory symbols from a stock dataset using Pig and Hive.

Who this Cource is for:

This route is for every person who desires to study huge statistics technology.

No superior programming information is wanted

This direction is for everybody who wants to find out about disbursed computing and Hadoop

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