Big Data and Hadoop
An online course designed by Hadoop Experts to provide the knowledge and skills in the field of Big Data and Hadoop and train you to become a successful Hadoop Developer.
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About The Course
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster- Single and Multi node, Hadoop 2.x, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie etc. will be covered in the course.
Who should go for this course?
This course is designed for professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of Hadoop Architecture can also opt for this course.
Some of the prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop. We provide a complimentary course "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training. This course helps you brush up your Java skills needed to write Map Reduce programs.
the end of the Course, you will be working on a live project which
will be a large dataset and you will be using PIG, HIVE, HBase and
MapReduce to perform Big Data analytics. The final project is a real
life business case on some open data set. There is not one but a large
number of datasets which are a part of the Big Data and Hadoop
Here are some of the data sets on which you may work as a part of the project work:
Twitter Data Analysis : Twitter data analysis is used to understand the hottest trends by dwelling into the twitter data. Using flume data is fetched from twitter to Hadoop in JSON format. Using JSON-serde twitter data is read and fed into HIVE tables so that we can do different analysis using HIVE queries. For eg: Top 10 popular tweets etc.
Stack Exchange Ranking and Percentile data-set
: Stack Exchange is a place where you will find enormous data
from multiple websites of Stack Group (like: stack overflow) which is
open sourced. The place is a gold mine for people who wants to come up
with several POC and are searching for suitable data-sets. In there
you may query out the data you are interested in which will contain
more than 50,000 odd records. For eg: You can download StackOverflow
Rank and Percentile data and find out the top 10 rankers.
Loan Dataset : The project is designed to find the good and bad URL links based on the reviews given by the users. The primary data will be highly unstructured. Using MR jobs the data will be transformed into structured form and then pumped to HIVE tables. Using Hive queries we can query out the information very easily. In the phase two we will feed another dataset which contains the corresponding cached web pages of the URL's into HBASE. Finally the entire project is showcased into a UI where you can check the ranking of the URL and view the cached page.
Data -sets by Government: These Data sets could be like Worker Population Ratio (per 1000) for persons of age (15-59) years according to the current weekly status approach for each state/UT.
Machine Learning Dataset like Badges datasets : Such dataset is for system to encode names, for example +/- label followed by a person's name.
NYC Data Set: NYC Data Set contains the day to
day records of all the stocks. It will provide you with the
information like opening rate, closing rate, etc for individual
stocks. Hence, this data is highly valuable for people you have to
make decision based on the market trends. One of the analysis which is
very popular and can be done on this data set is to find out the
Simple Moving Average which helps them to find the crossover
Weather Dataset : It has all the details of weather over a period of time using which you may find out the highest, lowest or average temperature.
In addition, you can choose your own dataset and create a project around that as well.
Why learn Big Data and Hadoop?
Big Data! A Worldwide Problem ?
to Wikipedia, "Big data is a collection of
large and complex data sets which 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 has become an integral part for storing, handling, evaluating and retrieving hundreds or even petabytes of data.
Apache Hadoop! A Solution for Big Data!
Hadoop is an open source software framework that supports data-intensive distributed applications. Hadoop is licensed under the Apache v2 license. It is therefore generally known as Apache Hadoop. Hadoop has been developed, based on a paper originally written by Google on MapReduce system and applies concepts of functional programming. Hadoop is written in the Java programming language and is the highest-level Apache project being constructed and used by a global community of contributors. Hadoop was developed by Doug Cutting and Michael J. Cafarella. And just don't overlook the charming yellow elephant you see, which is basically named after Doug's son's toy elephant!
Some of the top companies using Hadoop:
The importance of Hadoop is evident from the fact that there are many global MNCs that are using Hadoop and consider it as an integral part of their functioning, such as companies like Yahoo and Facebook! On February 19, 2008, Yahoo! Inc. established the world's largest Hadoop production application. The Yahoo! Search Webmap is a Hadoop application that runs on over 10,000 core Linux cluster and generates data that is now widely used in every Yahoo! Web search query.
Facebook, a $5.1 billion company has over 1 billion active users in 2012, according to Wikipedia. Storing and managing data of such magnitude could have been a problem, even for a company like Facebook. But thanks to Apache Hadoop! Facebook uses Hadoop to keep track of each and every profile it has on it, as well as all the data related to them like their images, posts, comments, videos, etc.
Opportunities for Hadoopers!
Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing Big Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! Happy Hadooping!
You can fill up the form below or contact us at the following addresses, for any queries. We will get back to you at our earliest possible.
Send us a message
Unit Nos: 501-507, 5th Floor, Delta Block,
Sigma Soft Tech Park,
Sector - 58,
Noida - 201301,
D-1/6 Hauz Khaus,
1. > Understanding Big Data and Hadoop
Topics - Big Data, Limitations and Solutions of existing Data Analytics Architecture, Hadoop, Hadoop Features, Hadoop Ecosystem, Hadoop 2.x core components, Hadoop Storage: HDFS, Hadoop Processing: MapReduce Framework, Anatomy of File Write and Read, Rack Awareness.
2. > Hadoop Architecture and HDFS
3. > Hadoop MapReduce Framework - I
4. > Hadoop MapReduce Framework - II
5. > Advance MapReduce
6. > Pig
7. > Hive
8. > Advance Hive and HBase
9. > Advance HBase
10. > Oozie and Hadoop Project
Frequently Asked Questions:
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- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> Can I Install Hadoop on my Mac Machine?
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- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> Is Java a pre-requisite to learn Big Data and Hadoop?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> Will I get 24*7 Support for Java also?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> Are these classes conducted via LIVE video streaming?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> How can I request for a support session?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> What internet speed is required to attend the LIVE classes?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> Can I get the recorded sessions of a class from some other batches before attending a live class?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> Is the course material accessible to the students even after the course training finishes?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> How long is the Hadoop course?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> What if I miss a class?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> What if I have queries after I complete this course?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> Do you provide any Certification? If yes, what is the Certification process?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> Will I get help from Edureka during the Certification Project?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> I have around 8 years of experience in software development. What are the career prospects in Hadoop?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> Is this a Hadoop Developer course or a Hadoop Admin course?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> What are the payment options?
- + //php echo $coursefaq['WsCourseFaq']['content_title']; ?> What if I have more queries?
Your live classes will be held on either Weekdays or on Weekends depending on the batch you choose. In addition to live classes, there will be hands-on assignments with every module which you can do at your own schedule with the help of our 24x7 expert support team. Towards the end of the course, you will undergo a project.
All our instructors are working professionals from the Industry, working in leading organizations and have real world experience in Hadoop. All these folks are experienced and trained by Edureka for providing online training so that they can provide a great learning experience.
For your practical work, we will help you to setup Edureka's Virtual Machine in your System. This will be a local access for you. In case your system doesn't meet the pre-requisites, we will give you a remote access to our cluster for your practicals.
Yes, Edureka Virtual Machine can be installed on Mac machine also.
Your system should have 4GB RAM, a processor better than core 2 duo. In case, your system falls short of these requirements, we can provide you remote access to our Hadoop Cluster.
Absolutely yes! One can always use Windows to work on Hadoop. You need to install Oracle Virtual Box on your Windows machine and then you can import Edureka Virtual Machine in it, which we will provide you.
There is no restriction on the no. of machines. We will help you install Hadoop in as many machines as you want.
Yes, core Java fundamentals would be required to learn Big Data and Hadoop. We provide you a complimentary 'Java Essentials for Big Data and Hadoop', an asset of 4 video lectures along with assignments and sample codes which will help you brush up your Java skills needed to work on Big Data and Hadoop.
Yes, the 24*7 support will be available for 'Java Essentials for Hadoop' also.
Yes, the classes are conducted via LIVE Video Streaming, where you can interact with the instructor by speaking, chatting and sharing your screen. You can go through our sample class recording available above. This would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.
Requesting for a support session is a very simple process. As soon as you join the course, the contact number of the support team will be available on your LMS. Just a phone call or a text message will solve the purpose.
1 Mbps of internet speed is preferable to attend the LIVE classes. However, we have seen people attending the classes from a much slower internet speed.
Yes, this can be done. Moreover, this ensures that when you will start with your actual Batch, the concepts explained during the classes will not be totally new to you. Because you would have already done some preparation at your end, you will be in the position to ask the right questions and get the most out of the course.
Yes, the course materials are accessible to the students even after course completion. All the installation guides, project docs and sample codes are available to the participants in a downloadable format. The PPTs and the recordings of the classes are hosted in our Learning Management System (LMS) and you have a lifetime access to that.
The Hadoop course at Edureka is a 5-weeks OR 15 Days course.
You will never lose any lecture. The recorded session for the class will be available on the LMS for your reference. We also have a 24x7 support, so in case you need any clarification on concepts or help in debug or installation etc., the support team will help you on it. Moreover, you can also choose to attend the Live class again with a different Batch.
Once you join the course, you will get lifetime support. Even after the course completion, you can get back to the support team for any queries that you may have.
Yes, we provide our own Certification. At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a dataset to work. Once you are successfully through the project(Reviewed by an Expert), you will be awarded a certificate with a performance-based grading. If your project is not approved in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and re-attempt the Project free of cost.
Yes. Edureka will help you at every stage of your learning and our 24/7 expert support team will ensure that you don't get stuck. Once you submit the project, our subject matter experts will review the same and share feedback to optimize it, if required.
Hadoop is one of the hottest career options available today for Software Engineers. There are around 12,000 jobs currently in U.S. alone for Hadoop Developers and demand for Hadoop Developers is far more than the availability. Learn more about career prospects in Hadoop at:"http://www.edureka.co/blog/jobs-in-hadoop/".
This is a Hadoop Developer course. To enrol for a Hadoop Admin course, we have another course for you -Hadoop Administration.
You can pay by Credit Card, Debit Card or NetBanking from all the leading banks. We use a CCAvenue Payment Gateway. For USD payment, you can pay by Paypal. We also have EMI options available.
Just give us a CALL at +91 88808 62004 OR email at email@example.com. US Toll free number is 1800 275 9730.
the end of your course, you will work on a real time Project. You will
receive a Problem Statement along with a data-set to work.
Once you are successfully through the project (Reviewed by an expert), you will be awarded a certificate with a performance-based grading.
If your project is not approved in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and reattempt the Project free of cost.