Hadoop Training in Pune (34 Courses Bundle, Online Certification)

Learn from Home Offer

What you get in this HADOOP - Specialization | 32 Course Series | 4 Mock Tests?

170 Hours

32 Courses

Course Completion Certificates

Lifetime Access

Self-paced Courses

Technical Support

Mobile App Access

Case Studies

About Hadoop Training in Pune

Course Name	Online Hadoop Training in Pune
Deal	You get access to all 32 courses, Projects bundle. You do not need to purchase each course separately.
Hours	170 Video Hours
Core Coverage	You get to learn MapReduce, HDFS, Hive, Pig, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Splunk, Sqoop, Cloudera and various application-based Projects on Hadoop.
Course Validity	Lifetime Access
Eligibility	Anyone serious about learning data science and wants to make a career in analytics
Pre-Requisites	Basic knowledge of data analytics, programming skills, Linux operating system, SQL
What do you get?	Certificate of Completion for each of the 32 courses, Projects
Certification Type	Course Completion Certificates
Verifiable Certificates?	Yes, you get verifiable certificates for each32 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
Type of Training	Video Course – Self Paced Learning
Software Required	Ubuntu, Java, Open Source- Hadoop
System Requirement	64-512 GB RAM
Other Requirement	Speaker / Headphone

Hadoop Training in Pune Curriculum

In this Hadoop Training in Pune, you will learn about Architecture of Hadoop 2.X Cluster, Production Hadoop Cluster, Modes available in Hadoop Cluster, important Hadoop 2.x configuration files, Data Loading Techniques using Sqoop & Flume, and how to set up Single Node and Multi-Node Hadoop Cluster Along with basic Hadoop Administration task such as cluster managing, monitoring, and troubleshooting

The candidate will also learn about how to design distributed systems that manage big data using Hadoop and related technologies.
How to use HDFS and MapReduce for storing and analyzing the data.
How to work with Pig and Spark to build scripts for more complex processing of Hadoop cluster information.
This Hadoop Training in Pune will also cover the analysis of relational data by using tools such as Hive and MySQL. And by using MongoDB, Cassandra, and HBase tools, you can analyze non-relational data.
This Hadoop Training in Pune will help you to understand how to connect twitter to Spark. It will also cover how streaming takes place in Spark in real-time, along with moving the data output using APACHE STORM.
You will learn how tools such as Zeppelin, Hue, YARN, Mesos, Zookeeper, Tez, and Oozie manage Hadoop clusters.
How to Publish Data to your Hadoop cluster using, Sqoop, Flume, and Kafka, etc. Query Data using applications such as Phoenix, Drill.
How to select perfect data storage technology for your application based on requirements.
Testing applications in Hadoop using MRUnit and other automated testing tools.

MODULE 1: Essentials Training

Courses	No. of Hours	Certificates
Big Data and Hadoop Training \| Online Hadoop Course	2h 2m	✔
Hadoop Architecture and HDFS	6h 13m	✔
MapReduce - Beginners	3h 01m	✔
MapReduce - Advanced	5h 35m	✔
Hive - Beginners	2h 47m	✔
Test - NTA UGC NET Paper 2 History- Mini Quiz
Test - AGILE Project Management

MODULE 2: Apache PIG and HIVE

Courses	No. of Hours	Certificates
Hive - Advanced	5h 11m	✔
PIG - Beginners	2h 1m	✔
PIG - Advanced	2h 13m	✔
Test - NTA UGC NET Paper 2 Management- Mini Quiz
Test - Practice AGILE - Beginner to Advanced

MODULE 3: NoSQL| MongoDB| OOZIE| STORM| SPARK| SPLUNK

Courses	No. of Hours	Certificates
NoSQL Fundamentals	2h 01m	✔
Mahout	3h 5m	✔
Apache Oozie	2h 11m	✔
Apache Storm	2h 4m	✔
Apache Spark - Beginners	1h 4m	✔
Apache Spark - Advanced	5h 49m	✔
Splunk Fundamentals	8h 33m	✔
Splunk Advanced 01 - Knowledge Objects	9h 29m	✔
Splunk Advanced 02 - Administration	39h	✔
Test - NTA UGC NET Paper 2 Political Science- Mini Quiz
Test - Practice Exam - Social Media Marketing

MODULE 4: Advanced Projects based Learning

Courses	No. of Hours	Certificates
Project on Hadoop - Sales Data Analysis	47m	✔
Project on Hadoop - Tourism Survey Analysis	53m	✔
Project on Hadoop - Faculty Data Management	35m	✔
Project on Hadoop - E-Commerce Sales Analysis	35m	✔
Project on Hadoop - Salary Analysis	49m	✔
Project on Hadoop - Health Survey Analysis using HDFS	56m	✔
Project on Hadoop - Traffic Violation Analysis	1h 25m	✔
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce	2h 33m	✔
Project on Hadoop - Case Study on Telecom Industry using HIVE	2h 2m	✔
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce	53m	✔
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop	3h 34m	✔
Project on Hadoop - Sensor Data Analysis using HIVE/PIG	5h 26m	✔
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce	3h 02m	✔
Hadoop and HDFS Fundamentals on Cloudera	1h 22m	✔
Project on Hadoop - Log Data Analysis	1h 32m	✔
Test - ICSE Class 10 - English Exam
Test - Professional US GAAP Exam - Mock Series

Hadoop Training – Certificate of Completion

What is Hadoop?

Hadoop is an open-source Apache platform developed in java that allows large data sets to be processed through computer clusters using simple programming models. The implementation of the Hadoop system operates in an environment that provides distributed processing and computing across computer clusters. Hadoop is designed to scale up to thousands of machines from a single server, each offering computing resources and storage.

Because Hadoop is based on Java, it is compatible with all platforms. And that’s the purpose behind Java as Hadoop’s key requirement. Hadoop consists essentially of two main components which are as follows:

MapReduce is a complex part of Hadoop which is a YARN-based system for parallel processing of large data sets. It can handle Multi-Terabyte information quickly and easily.
HDFS: HDFS is a part of the Apache Hadoop project. It is the world’s most reliable storage system. Its design is to store the large file and it provides high throughput. If any file has to be written in HDFS, it is broken into small pieces of data known as blocks. A default block size of 128 MB which can be extended as per the requirements.

As we know Hadoop works in a master-slave system, HDFS also has 2 types of nodes that work in the same manner. There are 2 nodes in the cluster such as name nodes and data nodes. The name node manages all the slave nodes and assigns work to them. Whereas Data nodes are used to read and write operation of the files from the clients of the file system. It does Block formation, deletion, and replication by the Name Node instruction.

Hadoop built applications operate on large data sets spread through standardized computer clusters. Commodity computers are common and inexpensive. These are primarily useful for achieving greater low-cost computing power.

Compared to data residing in a personal computer system’s local file system. Whereas in Hadoop, data resides in a distributed file system called a Hadoop distributed file system. The computation model is based on the concept of’ Data Locality’ in which computational logic is sent to information containing cluster nodes. This logic is a compiled version of a code written in Java. It is stored in Hadoop HDFS.

Industry Growth Trend

The hadoop big data analytics market is projected to grow from USD 6.71 Billion in 2016 to USD 40.69 Billion by 2021, at a CAGR of 43.4% between 2016 and 2021.
[Source - MarketsandMarkets]

Which skills you will learn in this training?

Knowing Hadoop completely will encourage you to tweak its parameters, write new scripts, understand the behavior of Hadoop. All of this will make you run Hadoop at a low cost reliably. You will learn about Scaling of Hadoop with more nodes, increasing or decreasing Hadoop’s replication factor, etc. As we have already know Hadoop means processing a large amount of data. Hence by doing this Hadoop course, you will learn how to process data from audio, logs, videos as well as data which is generated by computers. This processing of the data can be in any form such as real-time processing, block processing, etc

In this Hadoop Training in Pune, you will be working on real-time projects and tasks with major consequences in real-world business environments, thus it will help you in your IT career.

Pre-requisites

Basic Java knowledge: As we saw previously, Hadoop is consist of HDFS & MapReduce learning. All MapReduce written programs or scripts are in the form of Map & Reduce tasks. However, prior knowledge of Java and SQL will be helpful but is not compulsory. If you want to brush up skills of Java and SQL, You can check out Educba’s Java Courses as well.

Target Audience

Data Analysts

Data Engineers, Software Developers, Software Architects, Professionals ETL and Data Warehousing, as well as Graduates looking to build a career in Big Data fields.

Hadoop Training in Pune– FAQ’s

Does this Hadoop Training in Pune provide all the training required to become a professional in this field?

Yes of course. It explains everything you need to learn to deal with any analytical and big data problem as well as it will help you to crack your interview of the dream job profile of Data Scientist in the Company.

After this Hadoop training, will I be able to qualify the interview Hadoop Professional roles?

Since taking this Hadoop Training in Pune, most of our fellow students have successfully positioned themselves in MNCs and various successful Startups During interviews and job applications, those students who are focused and complete all assignments and projects performing excellently in their jobs.

Would this Hadoop Training in Pune help me in my career advancement?

One aspect was consistent with gradual progress in Hadoop, understanding the earlier components helped to understand the new components. Even the functionality of Spark is easy to understand if someone knows the Hadoop. Big Data is something that gets bigger every day so that developments in big data technology won’t stop, but Hadoop is a must known ability in the current scenario. So yes, doing Hadoop Certification will help in your IT Career.

Can I learn Hadoop without prior knowledge of data analysis?

For part, the answer may vary. It becomes difficult to understand the importance of storage in Hadoop without the basic knowledge of Analytics. You certainly understand the system structure and operating standards if you don’t have a basic knowledge. Nevertheless, it may not be that easy to relate to analytics. Get your basics right, and to do this Hadoop Training in Pune you are more than welcome.

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Career Benefits

Why should you take up the Hadoop Training in Pune?

Educba is one of the few IT education institutes in Pune that have a separate Hadoop training course. Educba experts are employed for this Hadoop training course. Educba institute is very highly ranked in Pune and great for anyone who wants the best Hadoop institute.

What is the Hadoop market trend in Pune?

As we saw previously, there is a dramatic increase in Hadoop systems, resources, and applications focused on in the era of the internet. And these developments affect not only the computer industry but the whole range of industries such as healthcare, transportation, manufacturing, entertainment, agriculture, etc.,

And as top companies like TCS, Infosys, L&T infotech, Cognizant, etc. in Pune invest heavily in research and development for Hadoop and its numerous offshoots, this advancement in Hadoop technologies only increases every year. So there is a huge demand in Hadoop profiles in Pune right now. So be ready for your dream job in the Hadoop field by taking this comprehensive course of Hadoop with Educba.

Reviews

Big Data and Hadoop Training

Valuable learning Hadoop introductory course and introduction to big data. We still need to learn more complex scenarios to realize the advantages of Hadoop in processing large amounts of data. It will be helpful to continue the advanced course of using a more complex algorithm to map and reduce processing. Will continue further.
Linked

Sivakumar Santharam

Nice Learning Experience

This course gives a great amount of information on big data. The explanation was very good and so the examples. I think that it would be interesting if the instructor shows how I can configure the Hadoop in the cluster to run the example proposed. Great learning experience. Thanks!
Linked

Mahfoudh Abkar

Hadoop overview training feedback

The Hadoop overview of training was very helpful. The content covered gives you a better understanding of the components of Hadoop and how the components work. Training is presented well and the examples used are easy to understand. Images or charts used gives you an overview of the components and helps you to relate well with theory. One who knows other file systems will be able to relate things very easily. Good job by the trainer!
Linked

Shiyas Cholamukhath

Bigdata basic introduction

It turned out to be one of the best courses taken so far on any platform, for several reasons. A wonderful course, excellently delivered. I am doing an MBA right now and taking this course to help me. This is an exceptional course. The class is great for sure, yet quite challenging because there is a lot of material covered in a short amount of time.
Linked

Shaurya Bhagat

Nice!

The instructor was pretty well in explaining the stuff. I hope this is useful to me. I found the course good at an introductory level. And I am Looking forward to more in-depth courses like this.

Anamika Shivhare

Hadoop Master Series Couse

It was a great learning Hadoop from the start. As a beginner, It gave me a clear picture of big data and Hadoop. Moreover, it enhanced my knowledge. the language chosen was simple and easy to understand. reading and writing anatomy was well explained. Hadoop Master Series Module is designed in such a way that any beginner will understand it and also understand the technicalities in it. I would appreciate educba for introducing such a course in it. Also, it has a different module which will help everyone to understand Hadoop very well.
Linked

Sushmita Mandal

Best short term course on BIG DATA and HADOOP

The course is awesome, I enjoyed a lot. The trainer had taught the course in very good and step by step format. Firstly we had studied about Big Data, its theoretical and practical definition, its uses, challenges. Then we studied about Hadoop framework, distributed storage- HDFS, Hadoop roles, Hadoop Distributions. Then the most interesting part of BIG DATA hands-on came, where we came to know about the practical approach. Overall very good practical exposure by the trainer. Keep going !!! 🙂
Linked

HARSHIT GUPTA

Nice videos

It was very informative. The instructor explained nicely. Understanding the same was very easy. Understanding the basic concept of Hadoop along with map-reduce and programming was explained step by step which was very simple to understand. Thanks for this video and will continue visiting other tutorials and comment on the same
Linked

HADOOP - Specialization | 32 Course Series | 4 Mock Tests