( Hadoop Training: https://www.edureka.co/hadoop )
Check our Hadoop Installation blog here: https://goo.gl/i54RIL
This Edureka Hadoop Installation Tutorial will help you to learn how to install Hadoop (Single Node Hadoop Installation) on a CentOS operating system. The same steps can be used for Hadoop Installation on Ubuntu, Hadoop Installation on Mac and Hadoop Installation on Windows (using a linux VM). Below are the softwares that are required for this setup:
1) CentOS Operating System: In this Hadoop Tutorial we have used a CentOS edureka virtual machine to install Hadoop. You can also use Linux(CentOS, Ubuntu, etc) or Mac as primary operating system for this installation. If you have windows then you can use a Linux(CentOS, Ubuntu, MAC etc) virtual machine (VM). The steps to install Hadoop remains the same.
2) Java: In this Hadoop Tutorial we have used JDK (Java Devlopment Kit) version 1.7.
3) Hadoop Binary file: In this Hadoop Tutorial we have used one of the latest and stable version of Hadoop i.e. Hadoop-2.7.2. The same steps can be applied to install any of the Hadoop 2.x versions.
Subscribe to our channel to get video updates. Hit the subscribe button above.
Check our complete Hadoop playlist here: https://goo.gl/ExJdZs
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
#Hadoopinstall #Hadoopdownload #Hadoop #Hadooptutorial #Installhadoop
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 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!
- - - - - - - - - - - - - -
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
- - - - - - - - - - - - - -
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 successful career in Big Data
- - - - - - - - - - - - - -
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, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.
Please write back to us at [email protected] or call us at +91 88808 62004 for more information.
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!!! Edureka lets you go back later, when your boss says "I want this ASAP!" ~ This is the killer education app... I've take two courses, and I'm taking two more.”
Check our Hadoop Installation blog here: https://goo.gl/i54RIL
This Edureka Hadoop Installation Tutorial will help you to learn how to install Hadoop (Single Node Hadoop Installation) on a CentOS operating system. The same steps can be used for Hadoop Installation on Ubuntu, Hadoop Installation on Mac and Hadoop Installation on Windows (using a linux VM). Below are the softwares that are required for this setup:
1) CentOS Operating System: In this Hadoop Tutorial we have used a CentOS edureka virtual machine to install Hadoop. You can also use Linux(CentOS, Ubuntu, etc) or Mac as primary operating system for this installation. If you have windows then you can use a Linux(CentOS, Ubuntu, MAC etc) virtual machine (VM). The steps to install Hadoop remains the same.
2) Java: In this Hadoop Tutorial we have used JDK (Java Devlopment Kit) version 1.7.
3) Hadoop Binary file: In this Hadoop Tutorial we have used one of the latest and stable version of Hadoop i.e. Hadoop-2.7.2. The same steps can be applied to install any of the Hadoop 2.x versions.
Subscribe to our channel to get video updates. Hit the subscribe button above.
Check our complete Hadoop playlist here: https://goo.gl/ExJdZs
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
#Hadoopinstall #Hadoopdownload #Hadoop #Hadooptutorial #Installhadoop
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 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!
- - - - - - - - - - - - - -
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
- - - - - - - - - - - - - -
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 successful career in Big Data
- - - - - - - - - - - - - -
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, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.
Please write back to us at [email protected] or call us at +91 88808 62004 for more information.
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!!! Edureka lets you go back later, when your boss says "I want this ASAP!" ~ This is the killer education app... I've take two courses, and I'm taking two more.”
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- शिक्षा - Education
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