->


Flume- Ingesting Data into Hadoop through Flume


 


Flume- Ingesting Data into Hadoop through Flume
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 141 MB
Genre: eLearning Video | Duration: 11 lectures (1h 11m) | Language: English

Data Ingestion tool to hadoop


What you'll learn

Install Flume on Hadoop
Configure Flume on Hadoop
Tune Flume to ingest Data on Hadoop
Troublehsoot flume related issues

Requirements

Basic Idea about HDFS and Hadoop

Description

Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.

And here's my promise to you. I promise that in the next couple of hours I will teach you to build things that might take you weeks to learn on your own and we will create together a Flume Ingestion and configuration experience It's not going to be a fully advanced and complete application set up, but it will be an amazing start to understand Flume.

Please try to do exercises and configure Flume agent and Once you are comfortable, Please submit them for my review. After couple of months, I will put in couple of more video tutorials for the exercise files.

Who this course is for:

Any one interested to learn about Big Data and Data ingestion standards and Loading data into Hadoop
Hadoop Administrators, Hadoop Support resources, Hadoop developers, Hadoop Managers


 


Homepage: https://www.udemy.com/course/hadoop-flume/

 Flume- Ingesting Data into Hadoop through Flume


 TO MAC USERS: If RAR password doesn't work, use this archive program: 

RAR Expander 0.8.5 Beta 4  and extract password protected files without error.


 TO WIN USERS: If RAR password doesn't work, use this archive program: 

Latest Winrar  and extract password protected files without error.


 Broknote   |  

Information
Members of Guests cannot leave comments.




rss