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Apache Flume Tutorial | Twitter Data Streaming Using Flume | Hadoop Training | Edureka

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Published on 03/22/23 / In How-to & Learning

🔥 Edureka Hadoop Training: https://www.edureka.co/big-dat....a-hadoop-training-ce
This Edureka Flume tutorial will explain you the fundamentals of Flume. It will also give you a brief on apache flume's architecture along with a demo on Twitter Data Streaming using Apache Flume. Below topics are covered in this tutorial:

1. Need for apache flume
2. Introduction to Flume
3. Advantages of Flume
4. Apache Flume Architecture
5. Twitter Data Streaming

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How does it work?

1. This is a 5 Week Instructor-led Online Course, 40 hours of assignment and 30 hours of project work

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

3. At the end of the training, you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About The Course

Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:

1. Master the concepts of HDFS and MapReduce framework

2. Understand Hadoop 2.x Architecture

3. Setup Hadoop Cluster and write Complex MapReduce programs

4. Learn data loading techniques using Sqoop and Flume

5. Perform data analytics using Pig, Hive and YARN

6. Implement HBase and MapReduce integration

7. Implement Advanced Usage and Indexing

8. Schedule jobs using Oozie

9. Implement best practices for Hadoop development

10. Work on a real life Project on Big Data Analytics

11. Understand Spark and its Ecosystem

12. Learn how to work in RDD in Spark


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Who should go for this course?


If you belong to any of the following groups, knowledge of Big Data and

Hadoop is crucial for you if you want to progress in your career:

1. Analytics professionals

2. BI /ETL/DW professionals

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7. Recent graduates passionate about building a successful career in Big Data

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Why Learn Hadoop? Big Data! A Worldwide Problem?

According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!

The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.

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Opportunities for Hadoopers!

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