HDFS Architecture

HDFS Design Concepts

This entry was posted in Hadoop and tagged blocks concept in hadoop architecture Data Nodes Failure Recovery hadoop design concepts Hadoop hdfs Blocks features and concepts HDFS Architecture how to recover a failed data node in hadoop what are data nodes in hadoop What are HDFS Blocks? what are the hadoop hdfs limitations drawbacks what are the hdfs hadoop design objectives what is fsimage and edit log in hadoop hdfs what is name node in hadoop architecture What is Secondary Name Node on April 8, 2014 by Siva

HDFS is a distributed file system implemented on Hadoop’s framework designed to store vast amount of data on low cost commodity hardware and ensuring high speed process on data. Hadoop Distributed File System design is based on the design of Google File System. It’s notion is “Write Once Read Multiple times”. Below are the main objectives of HDFS. HDFS Objectives ? Able to store vast amount of data probably in […]

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I have attended Siva’s Spark and Scala training. He is good in presentation skills and explaining technical concepts easily to everyone in the group. He is having excellent real time experience and provided enough use cases to understand each concepts. Duration of the course and time management is awesome. Happy that I found a right person on time to learn Spark. Thanks Siva!!!

Dharmeswaran ETL / Hadoop Developer Spark Nov 2016 September 21, 2017

I really like your explanations.

Sylvain Nzeyang hadoop developer December/2016 November 23, 2016

Siva , your teaching's are great and indeed very useful for the people who are interested in hadoop. Your sessions are more close to real-time and helps every one to get clear in interviews. Thanks for your support.

kalpana Bhemireddy Hadoop developer Spark jul/2016 September 26, 2016

Course content is well structured. I like Siva's explanation of topics using slide decks & virtual machine (CDH cluster) at the same time,this will help audience to learn not only theory behind a topic but also practical aspect of it. Overall, I would recommend this course.

Kumar Big Data Developer Hadoop&Aug/2016 September 26, 2016

One of the best trainer is Siva Kumar, his way of communication and explantion superb,he teaches excellent as theratical and practically also,I suggest he is the Excellent trainer for Spark and Scala.

purushotham Sr.Software Engineer Spark August/2016 September 15, 2016

Here is 2 cents
1. Got More exercises and provide feedback. (also a final project)
2. Support (may be you need a part time person)

Lexman Architect Hadoop/Spark September 13, 2016

Siva will give excellent training for Hadoop,spark. He has 4 years real time experience. His teaching is will go close to real time.

sriniwaas Hadoop consultant June 2016 September 13, 2016

Excellent Training, classes were so interactive,I never got bored,Siva has Immense Knowledge in all the Hadoop tools.He explained everything so near to real-time . You can never find Hadoop course so pure in the market.

Akhila Hadoop Developer Hadoop/spark September 13, 2016

Siva did an excellent job in explaining each topic patiently, gave many real-time examples
And he was really patient enough in answering each of our doubts,responds well in time when needed.
He has Immense knowledge in all the Hadoop/spark eco-system tools. Never felt bored in his classes he makes the classes so interactive
He has an excellent blog..got addicted to it.

Akhila Hadoop Developer Hadoop/spark September 13, 2016

Spark and Hadoop course content is really apt for the beginners. Concept articulation gives clarity on the subject and recording are quite handy for reference. my request is to start an advance level course where it takes very close to real time feel

Ramesh Pallothu Senior Architect Spark Course September 13, 2016

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