HADOOP - Specialization | 32 Course Series | 4 Mock Tests

About Hadoop Training in Gurgaon

Hadoop Training in Gurgaon Curriculum

Todays’ world is all about data processing if Bigdata. Companies like Google, Facebook, Amazon, etc. are primarily based on data ingestion and processing. This huge amount of data, called Bigdata we use the Hadoop frame framework along with its vast ecosystem. Nowadays almost all companies are aware of the value of the Hadoop framework and hence rely on highly qualified Hadoop professionals. To become a Hadoop professional, in-depth knowledge of the Hadoop framework and its ecosystem: HDFS, YARN, MapReduce, Hive, Pig, HBase, Sqoop, Flume, Oozie, and spark – all are required. This Hadoop Training in Gurgaon is designed in such a way that, it will cover every nook and corner of this vast topic along with numerous hands-on and practical training ad use cases. This complete Hadoop course will be a key to your dream career path establishing both practical and theoretical knowledge. It is a big step to your journey for the Bigdata domain.

Hadoop Training – Certificate of Completion

Hadoop Training in Gurgaon – FAQ’s

Can I access this Hadoop Training in Gurgaon from anywhere?

This course will be accessible from anywhere after you opt for this entire online course bundle. By using your user id or credentials, you can surely able to get all of the course content from everywhere you want to access. This will be 24/7 accessible for you ensuring ready to gain knowledge content at any point in time and from any location.

Do I need to keep on practicing the tutorial or is it a one-time thing?

Any course or tutorial be it online or offline is one time. By this, we mean to say that course will accessible anytime, but the structure is one time. You should learn and go through the course module by module and then in parallel, you should keep on practicing on this. Because, without practicing the hands-on, you will not be able to master the subject.

This will have enough theory along with practical hands-on. The theory will make to enriched with subject matter expert, whereas, hands-on will keep you at par with coding and end-to-end knowledge.

Why should you take up the Hadoop Training in Gurgaon?

Gurgaon is one of the top hi-tech cities in India. So, it has plenty of opportunities in various technologies. Being a trending tech Hadoop is not an exception here. Gurgaon is also famous for a good working environment and affordable living.

There are over two thousand plus active options in terms of carrier growth and opportunities for Hadoop in Gurgaon. Be ii fresher, intermediate level, or experienced professionals like Hadoop architects and designers- all have good options here.

What is the Hadoop market trend in Gurgaon?

Hadoop is always amongst the one of the topmost sought after career options in pan India for the last 4 years and still is in high demand. Being a hi-tech city with numerous career options, Gurgaon is not at all an exception here. The trend in the Hadoop market along with its easy association with recent technologies like NoSQL, AWS, etc. makes it very much stable in market trends and highly demanding career options. Hadoop will be among the topmost market trend in the next 8 to 9 years also considering the global data volume in the market. Many companies of Hadoop technologies have their offices in Gurgaon making it one of the sought after marketing in India.

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Reviews

 

Review Analysis in Hadoop Training

All clear! In short you can understand which tool to use for which job. For example, if you are comfortable with Java you would easily get along with MapReducer which delegates the task, performs them and understands unstructured and structured data, run on most of the languages, a more high level is Pig and runs on its own Pig Latin language. For Data Analysis without Data Processing you can take Hive on board, also it’s much like SQL.
Linked

Julie Pasichnyk

 

Hadoop Training and HDFS Basics on Cloudera

The first part of the course is very useful. It explains in a good way how traditional applications process data and what is their limit. HDFS – Hadoop distributed file system is the main focus of the course. Unlike vertically oriented systems, it supports horizontal systems where files are being shared between servers. Map Reduce functionality is also explained and the main part of the course is focused on Cloudera which is one of the Hadoop distributions built on top of the Apache Hadoop as the layer of abstraction.
Linked

Denis Alibašić

 

Great course

The course is comprehensive and gives a very splendid introduction of all that is out there. It is recommended for those who have absolutely no idea at all of the Hadoop ecosystems. It only gives a small flavor of all the different components and it is up to the listener to branch out and do the in-depth study.
Linked

ISMAIL SANNI

 

very good introduction

This introduction to Hadoop is very well structured and easy to understand. It contains lots of content as structure, reading, and writing algorithm and first steps in programming some small Programm which reads and counts out words in sentences to make the Hadoop function visible. Thanks.

Dominik Denny

 

Youtube Data Analysis using Hadoop

Excellent, even though at the beginning it is not the easiest accent to understand, once one gets familiarized everything is smooth. This course inspired me to study more about programming and languages. I am just beginning so I think I will come back to it again anytime I need help analyzing YouTube videos.
Linked

Monica Rodriguez Espitia