Hadoop Interview Questions and Answers | Big Data Interview Questions | Hadoop Tutorial | Edureka
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- čas přidán 22. 01. 2017
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This Hadoop Tutorial on Hadoop Interview Questions and Answers ( Hadoop Interview Blog series: goo.gl/LRyX6W ) will help you to prepare yourself for Big Data and Hadoop interviews. Learn about the most important Hadoop interview questions and answers and know what will set you apart in the interview process. Below are the topics covered in this Hadoop Interview Questions and Answers Tutorial:
Hadoop Interview Questions on:
1) Big Data & Hadoop
2) HDFS
3) MapReduce
4) Apache Hive
5) Apache Pig
6) Apache HBase and Sqoop
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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, 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.
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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 work Edureka team!! Liked this video. Thank you!
Good video 🙂for revising basics
Great video, thank You.
Great video! Love the clear concepts.
helpful video tq
Good interactive video...I'm in love with edureka videos...
Hey Raj, thanks for the wonderful feedback! We're glad we could be of help.
We will be coming up with more videos. Do subscribe to stay posted. Cheers!
Good Video...Good Trainer, keep the good work going bro
great sir!
hai
this is very good video
please provide more interview questions and there is no update the video from jan 23,2017 to till the date
thank you so much sharing this type videos you done great work
Hey Naga, thanks for checking out our tutorial! We're glad you found it useful.
You can find more interview questions here: www.edureka.co/blog/interview-questions?s=hadoop.
More Hadoop videos have been published after January. You can check out our Hadoop playliste here: czcams.com/play/PL9ooVrP1hQOEmUPq5vhWfLYJH_b9jFBbR.html.
Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
I Guess its the Big Data expertise Hon.Shivang Sir....Thanks a lot for sharing it sir. you have been always awesome :-)
Hey Deepak, thank you for appreciating our work. We are glad that you found it useful. Do subscribe to us and stay connected. Cheers :)
Hi, first of all thanks for uploading this very informative series on Big Data, it is really helpful.
I have a question like what kind of operations can we perform with unstructured data / binary / image/ video files using the hadoop stack?
I have seen examples where they have converted semi structured files such as logs and json to tabular format using regular expressions.
But what can we do with video files for examples?
Hey Saikat, thanks for checking out our tutorial! We're glad you found it useful. Here's the explanation to your query:
Take for example, if CZcams which has such a big database of videos, decides that while playing a video in CZcams you can also click on someone's face and CZcams will prompt the name of person on whose face you clicked. The best way to implement this is to quantize the video in unit of frames (that is how videos are stored internally) and store them on HDFS. Now, convert each frame to a greyscale image and now all you have is a 2d array on which you can apply some face recognition algorithm and prompt the result to the user. As you will not want to perform the computation when another user clicks it when the particular video has been submitted you can perform your algorithm on the video and store the results.
Hope this helps. Cheers!
Thanks for the video, is there a link where I can find the slides?
Hey Rakshith, thanks for checking out our tutorial!
We do not have the slides to share but here are a few of our related blogs that you could refer: www.edureka.co/blog/interview-questions?s=hadoop.
Hope this helps. Cheers!
pls post interview questions on devops also like wise real time situations in continous integration,build automation
+Rakesh Uppala, thanks for checking out our tutorial! Here's the link to our DevOps interview questions webinar that discusses frequently asked DevOps interview questions and career path with DevOps: czcams.com/video/h4VQ4t5pxG4/video.html. Also, here's our blog that lists the top DevOps interview questions along with answers: www.edureka.co/blog/interview-questions/top-devops-interview-questions-2016/. Hope this helps. Cheers!
Hey Rakesh, our DevOps interview questions video is now live. Check it out here: czcams.com/video/clZgb8GA6xI/video.html. Hope this helps. Cheers!
Thank you so much Edurekha team and Shivank for uploading this video. Was much useful to prepare for interview. Similarly if possible please upload Spark interview questions also that will be much useful for everyone.
+Prabhu Bentick, thanks for the wonderful feedback! We're glad you found our tutorial useful.
Here's the link to our Spark interview questions blog: www.edureka.co/blog/interview-questions/top-apache-spark-interview-questions-2016/.
Also, here's the link to our Spark career path video: czcams.com/video/PxaNGvpK_DU/video.html.
Hope this helps. Cheers!
P.S: We might come up with a Spark interview questions tutorial in the future. Do follow our channel to stay posted.
Thank you so much Edureka Team. If possible pls provide the Shivank interview preparation for apache spark. He explains the concept very clearly when compared to others. Even other faculty is doing the great job similar but i prefer shivank videos which helps me to understand more deeply. Thanks again.
+Prabhu, thanks for your interest. While we do not have an interview questions tutorial by Shivank, we do have a Apache Spark batch led by him coming up on 13th May. This will be a live, online training led by him. You can check out more details here: www.edureka.co/apache-spark-scala-training. Please feel free to reach out to us if you have any more queries. Cheers!
Thanks Edureka Team !!! Great Job !!! Keep going !!!
would u plz make a video series fr admin only?
Hey Haque, you can check out our Hadoop admin videos here: goo.gl/fKojKr
Hope this helps :)
How to run a Machine Learning python program in hadoop?
Hey Vivek, you can use the Pydoop package to implement machine learning functionalities in Hadoop! Hope this helps :)
Hello sir, what could be the course of action for b.tech computer science student, if i want to become a data scientist in upcoming years, all jobs require at least some 2 years of experience. is there a good roadmap for my carrier path, where can i start from ( Competencies :- i am learning Big data , Statistical and regression analytics, machine learning , i am in last semester of my 4th year)
Hey Manan, thanks for checking out our tutorial!
It's definitely an advantage that you have knowledge of Big Data, Statistics, Regression Analytics and Machine Learning. This will help you in the learning path of Data Science.
Since you are from Computer Science background, we would suggest you to directly go for our Data Science Course as your knowledge of Statistics and Machine Learning will help you in learning Data Science. Some knowledge of working in Big Data projects will be beneficial as for learning Data Science you should not only have knowledge in Statistics and Machine learning, but you should also be good with technology.
If you enroll for our Data Science Course, you will also get 3 complementary self-paced courses on Hadoop Essentials for Data Science, R Essentials for Data Science and Machine Learning with Mahout Essentials for Data Science. You can check out more details here: www.edureka.co/data-science.
You will also find relevant information on our blog: www.edureka.co/blog/.
Hope this helps. Cheers!
sir
Future scope in hadoop and its salary for fresher
Hey Sunil, future scope for Hadoop professionals is big, and the demand is ever-increasing. You can easily find out the salary trends at job search sites like indeed.com. We hope to see you again learning from us!
Cheers :)
wow
Hadoop doesn't support low latency.
coder boys