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Hadoop Tutorial For Beginners | Apache Hadoop Tutorial | Hadoop Training | Edureka


Edureka Hadoop Training:
This Edureka “Hadoop Tutorial for Beginners” video will help you learn Big Data Hadoop and Apache Spark from scratch. We have discussed 2 Hadoop projects in this hadoop tutorial – US Primary Election & Instant Cab use-cases. You will also learn how to use k-means clustering and zeppelin to analyze and visualize your data.

Comment below in case you need the datasets used in this Hadoop Tutorial For Beginners video.

Below are the topics covered in this Hadoop tutorial for beginners:

1. Big Data Use Cases – US Election & Instant Cabs
2. Solution strategy of the use cases
3. Hadoop & Spark Introduction
4. Hadoop Master/Slave Architecture
5. Hadoop Core Components
6. HDFS Data Blocks
7. HDFS Read/Write Mechanism
8. YARN Components
9. Spark Components
10. Spark Architecture
11. K-Means and Zeppelin
12.Implementing Solution of both use-cases

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PG in Big Data Engineering with NIT Rourkela : (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)


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How it Works?

1. This is a 5 Week Instructor-led Online Course, 40 hours of assignment and 30 hours of project work
2. We have a 24×7 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
3. Project managers
4. Testing professionals
5. Mainframe professionals
6. Software developers and architects
7. Recent graduates passionate about building a successful career in Big Data

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Why Learn Hadoop?

Big Data! A Worldwide Problem?

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!

Opportunities for Hadoopers are infinite – from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka’s Hadoop Online course and carve a niche for yourself!

For more information, Please write back to us at sa[email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

Customer Review:

Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app… I’ve take two courses, and I’m taking two more.”


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