What is HDFS | Hadoop Distributed File System (HDFS) Introduction | Hadoop Training | Edureka
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- čas přidán 14. 02. 2018
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This What is HDFS video will help you to understand about Hadoop Distributed File System and its features along with practical. In this What is HDFS video, we will cover:
1. What is DFS and Why Do We Need It?
2. What is HDFS?
3. HDFS Architecture
4. HDFS Replication Factor
5. HDFS Commands Demonstration on a Production Hadoop Cluster
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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
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
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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!
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!
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Hadoop Training and Certification Curriculum, Visit our Website: bit.ly/2Ozdh1I
Great Explanation Ashish. I've been searching this kind of explanation from long time. Finally found it! Thanks a ton
Simple and to the point! Good one! The presenter also seemed to know it really well, some presenters really otherwise just vomit from wikepedia!
Ashish, Thank You Very Much For Making This Video!!! This Is An Useful Video
it was very good and clear explanation, I wish everyone could explain like you! thank you
very informative. Thank you.
Thank you so much It was helpful.
Best explanation !!
Hi, thanks for the tutorial. Great explanation. May I ask a question that how Hadoop handles failure of the name-node, which is the only one master node?
Hi Yeng, thanks for appreciating our efforts. You can run 2 redundant NameNodes alongside one another, so that if one of the Namenodes fails, the cluster will quickly fail over to the other NameNode .
Excellent job👍
such an amazing video, thank you. saved me so much time
You're welcome 😊 Glad it was helpful!!! Keep learning with us...
Super Explanation Ashish.
Underrated video
Wonderfully explained!! Thank you
Most welcome 😊 Glad it was helpful!
Excellent Ashish 👌
Thank you...
Thank you!
Superb explanation
thank you
Thanks sir
Great explanation
Hey Alex, thanks for the compliment. We are glad you loved the video. Do stay tuned for future updates. Cheers!
best explanation
Glad you think so!
good explanation
Thank you.
thanks!
Welcome!
Nice explanation
Thanks and welcome
Hi edureka , nice , i have one question please reply , in future ui ux designer will increasing job life, if i am going build to career in designing. please reply
Hey Arun, this compiled report will give you a better idea: medium.muz.li/2018s-ux-designer-salary-forecast-32ccc1dfcd5f
Hope this helps :)
Thanks , i think great . lovely eureka
Edureka
😔😍😍😍
superb explanation
Thank you for watching our video. Do subscribe, like and share to stay connected with us. Cheers :)