Hadoop Tutorial - Architecture

Spark Programming and Azure Databricks ILT Master Class by Prashant Kumar Pandey - Fill out the google form for Course inquiry.
-------------------------------------------------------------------
Data Engineering using is one of the highest-paid jobs of today.
It is going to remain in the top IT skills forever.

Are you in database development, data warehousing, ETL tools, data analysis, SQL, PL/QL development?
I have a well-crafted success path for you.
I will help you get prepared for the data engineer and solution architect role depending on your profile and experience.
We created a course that takes you deep into core data engineering technology and masters it.

If you are a working professional:
1. Aspiring to become a data engineer.
2. Change your career to data engineering.
3. Grow your data engineering career.
4. Get Databricks Spark Certification.
5. Crack the Spark Data Engineering interviews.

ScholarNest is offering a one-stop integrated Learning Path.
The course is open for registration.

The course delivers an example-driven approach and project-based learning.
You will be practicing the skills using MCQ, Coding Exercises, and Capstone Projects.
The course comes with the following integrated services.
1. Technical support and Doubt Clarification
2. Live Project Discussion
3. Resume Building
4. Interview Preparation
5. Mock Interviews

Course Duration: 6 Months
Course Prerequisite: Programming and SQL Knowledge
Target Audience: Working Professionals
Batch start: Registration Started
Fill out the below form for more details and course inquiries.

--------------------------------------------------------------------------
Best place to learn Data engineering, Bigdata, Apache Spark, Databricks, Apache Kafka, Confluent Cloud, AWS Cloud Computing, Azure Cloud, Google Cloud - Self-paced, Instructor-led, Certification courses, and practice tests.
========================================================

SPARK COURSES
-----------------------------

KAFKA COURSES
--------------------------------

AWS CLOUD
------------------------

PYTHON
------------------

========================================
We are also available on the Udemy Platform
Check out the below link for our Courses on Udemy

=======================================
You can also find us on Oreilly Learning

=========================================
Follow us on Social Media

========================================

[ScholarNest]

Want to learn more Big Data Technology courses. You can get lifetime access to our courses on the Udemy platform. Visit the below link for Discounts and Coupon Code.

[saramohammadinejad]

Wonderful instructor! I watched many videos on Hadoop and got confused by all of them, but this one is amazing:)

[harishterli]

What an explanation!!!! GREAT GREAT GREAT explanation.. going straight to the concept.. covering all features in short time..a BIG BIG BIG THANK-YOU...

[robind]

you have all the instructor' skills and deep knowledge of Hadoop.

[LazarusPT]

Best Video to understand the core concepts. I saw almost 20 other videos but this one is the best

[vijayabhaskarbalusu]

Your unique way of explanation made complex architecture easy to understand and follow. Thank you and keep it up Sir.. :)

[prabhatKumar-dhfr]

Crystal clear explanation of concept. Thank you sir . God bless you .

[John-eqcd]

Very clear and well presented. A good use of graphics and did not make the all too frequent mistake of simply reading out the text already on the slide

[soufianebenkhaldoun]

I m a beginner at hadoop and big data plateforms, I watched a lot of tutorials but yours is clearly the best. keep going, you are a great teacher !!

[sergem]

great tutorials! You make complex things look simpler

[prannoyroy]

One of the best explanations i have come across. Thanks

[ofc]

sir i like your way of teaching .. lots of, lots of thanks

[marcoverdesca]

Clear, concise, goes straight to the point! thanks!!!

[ateeqtalks]

I disabled Adblocker just to support you :) <3

[ranjitpatil]

Very nice Explained, Things was complex but it has been explained easily., Thanks a lot!!!

[niftymiller]

@Learning Journal sir, your videos are exemplary, simple - straight forward and highly informative. Keep up this good work to the society. God Bless :)

[ManarTheScientists]

you are a great teacher. I love you man.

[sowalassane]

Very clear explaining ! Thank you so much

[rizqinugroho]

Thank you so much, sir. This is a well and clear explanation.

[DeepakSharma_youtube]

Question 1: Around 4:10 "the NameNode will create an entry for a new file", does it actually create a new file 'myfile.txt' on, say, DataNode 3 as per this picture?

Question 2: Can one actually login to a Data-Node (let's say #3 in this case) and be able to do a 'ls -l' to see files that got created ? I know one can use 'hadoop fs -ls' to see files across all the hadoop cluster, but is it possible to look at a file on a particular data node?

Question 3: When multiple 128MB block(s) of this 'myfile.txt' file are stored on different Data Node(s) do we see partial 'myfile.txt' (when doing ls -l) on each of those data nodes, with just partial content of the real/original file ?