Customer Reviews
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Edureka did a great job training our employees for an upcoming Application Development project. The classes were very well paced and flexible for the crazy work schedule of our employees. I am very impressed and highly recommend Edureka.

Abhishek Vinod Singh,
CEO DbyDx Pvt. Ltd. San Francisco Bay Area

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The most Comprehensive Android Course I could find anywhere. The Training and Support Staff are Excellent.

Mark Lassoff,
President, LearnToProgram.tv Hartford, Connecticut Area

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Edureka aptly named gives the students a "Eureka" Moment during the course. Learning is a world to explore and Edureka provides us with the navigation maps. I never for a minute felt that I am doing this course online away from the faculty and the staff.

Farhan Karmali,
Virtual Learning Environment Developer. Islamic Online University, Mumbai, Maharashtra, India

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Looks like they want us to think of nothing but learning. I really appreciate this approach. Thank you Edureka Team! I had a nice and fruitful time.

Alexey Starykh,
R&D Engineer at IFAS of RWTH. Developer.Aachen University,Germany

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Good overview and insight on the real world  application and use cases of R. An interactive training method and interesting content lay path to venture and explore more on R programming.

Durvesh Javle,
Assistant Manager - Tolling and Projects at BASF India Ltd, Thane, Maharashtra, India

Connect at linkedIn

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Edureka has redefined the e-learning service with the help of technology. They have excellent faculty and support team that has given a real class room learning experience. Anybody can upgrade their skills at their convenience! Edureka has expertise in Big Data Analytics and they are providing opportunity to acquire these skills in a short time!

Chandra Bhushan K,
IT Consultant, Architect - Analytics in Karmanya Software Pvt Ltd, Hyderabad Area, India

Connect at linkedIn

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edureka! is efficiently able to provide effective e-learning for Big Data. All the required material for learning is kept online in the Learning Management System (LMS) along with the recordings of class so that we can refer back any part of the class. Also, edureak! 24x7 support is very helping and prompt in its service. Thanks edureka! for providing great and effective way of learning.

Vishal Pawar,
PMP Certified, Lead Consultant, HCL Technologies Ltd. Mumbai Area, India

Connect at linkedIn

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The best part about the course is that, variety of problems with real world use cases were covered.

Shrikanth K,
Technical Lead, Dhruv Compusoft

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It has been a wonderful experience. All the staff members are really helpful.

Amey B,
Android Developer, Sony Electronics, Dallas/ Fort Worth Area

Connect at linkedIn

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A very good course covering lots of topics. Excellent class delivery and lecture notes. I really learnt a lot and will surely miss not having the classes any more. I will definitely keep in touch with edureka! and my instructor through LinkedIn and emails. I would also like to convey my special thanks to the edureka! support team for their prompt technical support that is available 24/7 and for their awesome Learning Management System (LMS) on the website with all the class recordings and the material.

Sarvani Kare,
Sr. Software developer, Lockheed Martin Information Technology, Baltimore, Maryland Area

Connect at linkedIn

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Thanks for the support and help done by edureka! The only word for training is "Awesome". The excellent post class support and training methodology are icing on the cake.

Avinash Sathyanarayana,
BCA, Diploma in Building Designer, Android Application Developer, MBA(Finance)

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I am App-savvy guy, who used to make Orkut, Facebook, php apps. Thanks to edureka.in and their online support who helped me to turn my hobby of Android app making to the professional level. From early 2010 I used to create android apps with some online resources that won't allow me to monetize apps or create custom apps as per my needs and my ideas. Now I am happy because after joining edureka.in I can create what I wanted to make and happy to serve lots of free and useful apps to the community as a profession.

Prashant Patil,
Entrepreneur, WebMaster & Web Developer
http://www.manjifera.com

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The unique combination of Online Classes with 24*7 On-Demand Support and class recordings/ppt/docs etc in Learning Management System (LMS) on the site made me fall in love with edureka! There could not be a better Android Training Avenue to quench my thirst for learning Android Development.

Zakir Khan,
Senior Associate, Syntel, Thane, Maharashtra, India

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There is a plethora of online training material available for Android; the reason I chose Edureka is the rare combination of great instructors, comprehensive course material . The course has a clear direction, which is perfect for efficiency-oriented professionals like us! What differentiates Edureka’s training from numerous other Android trainers is that they bring a lot of corporate experience on the table, and that is evident in their teaching techniques.

Tejinder Singh,
PGDCA, MSc(IT), MCA, M-tech(IT), Phd(CS)*, Lecturer, Baba Farid College, Punjab

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Thank you Team edureka! for helping me learn Android Development. The best thing about edureka! is the super-supportive training team. They are there to guide you at every step, 24/7. In fact, it was the passion of the trainers that inspired in me a whole new energy, while developing my first Android application.

Suraj Shukla,
B.E(Information Technology), 4th year 7th sem, Institute of Information Technology and Management, Gwalior

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Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been truly joyous and full of learning I had no insight into Android development but with the help of your excellent instructor, I now stand a chance to explore wider into this. The webinars were truly awesome. Live Online sessions were highly interactive. The edureka! methodology for OnLine classes has changed the way I look at webinars now. Plus point is the knowledgeable course material. I am falling short of words describing the great experience of my Android training at edureka!. Thanks Team edureka!

Gagan Maheshwari,

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I never hoped that I can learn through an online course, but after completing the Android Dev course from edureka!, I realized that it is indeed possible if the methodology is appropriate. The best thing about edureka! is 24x7 support which makes the overall learning experience better than a classroom training environment. In edureka!, I can attend classes from my drawing room located anywhere in the world. I can opt for extra classes in case of missed sessions in an another batch, also the class recordings are always available in the feature rich Learning Management System (LMS).

Saurabh Khamar,
Final year (BSC), Nalanda College, Vijaywada, Andhra Pradesh

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I attended the demo session without any intention of joining a course. But the demo class was so impressive that I changed my mind to take a class with edureka. In the demo class the edureka! team making their word true with assisting doubts as well as teaching good. It's the best place to learn Andorid with 24*7 post class support from technical experts and at a affordable cost. Thank You Team edureka!

Gopinath,
SAP Architect Consultant, IBM India Pvt Ltd, Bengaluru, Karnataka, India

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I had a great experience learning Android Development 'online' with Team Edureka. The great support, light atmosphere and answering every question never made me miss blackboard, chalk and duster. Recorded sessions and 24*7 support are really good advantages and helps learning easy without any limitations on timings.

Aman Chawla,
Project Trainee, Managed Services, TeleDNA Communications Private Limited, Gurgaon, India

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Edureka's Training helped me very much in learning Android Application Development. The Teaching Staff and the Teaching Style is excellent. I Thanks Edureka and My Teachers for this Wonderful teaching.

Monark Unadkat,
Student, XI Science, CBSE Kendriya Vidyalaya No.1, Ahmednagar

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Big Data and Hadoop

  • Online Classes: 30 Hrs
  • |
  • Lab Hours: 40 Hrs
  • |
  • Project: 20 Hrs

Online Classes: 30 Hrs

There will be 10 instructor led Interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is Lifetime.

Lab Hours: 40 Hrs

Each class will be followed by practical assignments which can be completed before the next class. We will help you setup a VM on your system to do the practicals. We shall also provide you remote access to our Hadoop Cluster on AWS. Our 24x7 expert support team will be available to help through email, phone or Live Support for any issues you may face during the Lab Hours.

Project: 20 Hrs

Towards the end of the course, you will be working on a project where you be expected to perform Big Data Analytics using Map Reduce, Pig, Hive & HBase. You will get practical exposure about Data Loading techniques in Hadoop using Flume and SQOOP. You will understand how Oozie is used to schedule and manage Hadoop Jobs. You will also understand how the Hadoop Project environment is setup and how the Test environment is setup.
25,686 Learners

Lifetime Access

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Support

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Certified

Lifetime Access

You get a lifetime access to the Learning Management System (LMS). All the class recordings, installation guides, class presentations, sample codes, project documents are available in downloadable format in the LMS and your login never expires.

24x7 Support

We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock.

Get Certified

Towards the end of the course, you will be working on a project involving analytics on a large Dataset. Edureka certifies you as a Big Data Expert based on the project review by our Expert Panel and a Practical online exam. Anyone certified by edureka will be to demonstrate practical expertise in Big Data and Hadoop.
UPCOMING BATCHES
   Module Locked
This Module will be unlocked
after the next online class
How soon after Signing up would I get access to the Learning Content?
As soon as you enroll to the course, your LMS (The Learning Management System) Access will be Functional. You will immediately get access to our course content in the form of a complete set of previous class recordings, PPTs, PDFs, assignments and access to our 24x7 support team. You can start learning right away.
I am not from a Java Background, Can I take this course?
Yes, you definitely can. We also have a “Java Essentials for Hadoop” set of lectures to which you will be given access to in your LMS. You will get this Java content complimentary with the Hadoop Course. As soon as you join, the Java course can be started immediately and before the Java is introduced in the Hadoop course from the third week (MapReduce), you would have enough time already to clear your concepts in Java.
Who are the instructors?
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.
How will be the practicals done?
For your practical work, we will help you set up a 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.
When Are the classes held and How many hours effort would I need to put in every week?
  • The classes are held on Weekends. Depending upon your batch, your Live classes will either be on Saturdays or Sundays.
  • Typically, it would be an 8-9 hours of effort required each week which includes 3 to 4 hours Live class and in addition, there will a 3-4 hrs of hands-on which can be done at your own schedule with the help of our 24x7 support team.
  • Towards the end of the 8 week schedule, you will undergo a training project and 2 hours in your Online Exam at the end of the course.
  • What if I miss a class?
    In no event you will lose a lecture forever. 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.
    How can I request for a support session?
    Requesting for a Support session is a very simple process. As soon as you join the course, you will be assigned a point of contact from the support team. His/her contact number, email ID etc. will be available on your LMS. Just an Email, a phone call or a text message will solve the purpose.
    What If I have queries after I complete this course?
    Once you join the course, your support will be for a life time. Even after the course completion, you can get back to the support team for any queries that you may have.
    Is it possible, that I would subscribe for the Hadoop course now, but would join the next batch, to make sure that Java is understood well?
    This is very much possible and you can pace it according to your needs.
    Is The Java course also a LIVE course?
    We provide you a complimentary 'Java Essentials for Hadoop’, an asset of 3 video lectures which you can cover in the first 2 weeks of the course before we reach the MapReduce portion of the course.
    Will I get 24*7 Support for Java also?
    Yes, the 24*7 support will be available for 'Java Essentials for Hadoop' also
    Can I get the recorded sessions of a class from some other batches before attending a live class?
    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.
    How will I get the recorded sessions?
    All your class recordings and other content like PPT’s and PDF’s etc. are uploaded on the LMS, to which you have a life time access. You may also choose to download this content for offline reference.
    How can I download the class videos?
    Classes will be hosted on our streaming server. You can buffer the class videos or download if you wish to.
    Is the course material accessible to the students even after the course training finishes?
    All the classes are recorded and the recordings are shared with the participants in a downloadable format. The other materials like PPTs, project docs, sample codes, etc are hosted in our Learning Management System (LMS) and you have a lifetime access to that. You can even download the content and use it for offline viewing.
    How long is the Hadoop course?
    The Hadoop course at Edureka is an 5-week OR 15 Days course.
    How can I complete the course in a shorter Duration?
    If you want to finish the course in a shorter duration, we can either give you all the class recording in advance or create a plan where you can attend 2 classes in a week and finish in a shorter duration.
    Will I be working on a Project?
    Yes, towards the end of the Course, you will be working on a Training project. This will help you understand how the different components in Hadoop are related to each other and how is the data flow between the different components.
    Do you provide any Certification? If yes, what is the Certification process?
    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 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.
    What if I am not able to clear the Certification exam in 1st attempt?
    If you are not able to clear the Certification exam in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and reappear for the Certification exam.
    Do I need to pay for the Re-Attempt of the Certification exam?
    No, there is no extra charge for Reattempting the Certification Exam.
    Are these classes conducted via LIVE video streaming?
    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 the classes are conducted, quality of instructors and the level of Interaction in the Class.
    What internet speed is required to attend the LIVE classes?
    1Mbps of internet speed is recommended to attend the LIVE classes. However, we have seen people attending the classes from a much slower internet.
    Can I Install Hadoop on my Mac Machine?
    Yes you can install Hadoop on Mac using the VMPlayer but VMplayer is not free and the cloudera distribution on Mac has some limitations. We can solve this by giving you remote access to our cluster.
    What are the system requirements to install Hadoop environment?
    Your system should have a 3GB 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.
    I have a windows system. Can that be used to work on the Hadoop assignments?
    Absolutely yes! One can always use Windows to work on Hadoop.

    Here’s the Description:
    To work on Hadoop on your Windows, the simplest way is to install VMware Player on your Windows Machine. VMPlayer is a software using which you can run another operating system on your Windows. So, use VMPlayer and run an Ubuntu OS which has Hadoop installed on it and start working on your Hadoop assignments!

    System Requirements to run VMplayer:

  • RAM: 3 to 4 GB.
  • Processor: i3 or above

  • At Edureka, we provide an Ubuntu image in which Hadoop is already configured. If you don’t have the above system specification to run VMPlayer, you shall be receiving remote access to an Ubuntu machine which will be provided by us.
    I have two machines with me. Can you install the Hadoop VM in both the machines or in just one machine?
    There is no restriction on the no. of machines. We will help you install Hadoop VM in as many machines you want, and that too wherever you want!
    What are the payment options?
    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.
    Is this a Hadoop Developer course or a Hadoop Admin course?
    This is a Hadoop Developer course. To enroll for a Hadoop Admin course, we have another course for you -
    Hadoop Administration.
    I have around 8 years of experience in software development. What are the career prospects in Hadoop?
    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: Jobs in Hadoop.
    What if I have more queries?
    Just give us a CALL at +91 88808 62004 OR email at Hadoopsales@edureka.in.

    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, Map-Reduce, Hbase Zookeeper etc. will be covered in the course.


    Course Objectives


    After the completion of the Big Data and Hadoop Course at Edureka, you should be able to:

    • Master the concepts of Hadoop Distributed File System and MapReduce framework  
    • Setup a Hadoop Cluster
    • Understand Data Loading Techniques using Sqoop and Flume
    • Program in MapReduce (Both MRv1 and MRv2)
    • Learn to write Complex MapReduce programs
    • Program in YARN (MRv2) 
    • Perform Data Analytics using Pig and Hive
    • Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing
    • Have a good understanding of ZooKeeper service
    • New features in Hadoop 2.0 -- YARN, HDFS Federation, NameNode High Availability
    • Implement best Practices for Hadoop Development and Debugging
    • Implement a Hadoop Project
    • Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience

    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.

    Pre-requisites


    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.

    Project Work


    Towards 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 Program.

    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’s 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 action.

    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?

    According to Wikipedia, “Big data is a collection of data sets so large and complex that it 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!
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    Edureka has redefined the e-learning service with the help of technology. They have excellent faculty and support team that has given a real class room learning experience. Anybody can upgrade their skills at their convenience! Edureka has expertise in Big Data Analytics and they are providing opportunity to acquire these skills in a short time!

    Chandra Bhushan K,
    IT Consultant, Architect - Analytics in Karmanya Software Pvt Ltd, Hyderabad Area, India

    Connect at linkedIn

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    edureka! is efficiently able to provide effective e-learning for Big Data. All the required material for learning is kept online in the Learning Management System (LMS) along with the recordings of class so that we can refer back any part of the class. Also, edureak! 24x7 support is very helping and prompt in its service. Thanks edureka! for providing great and effective way of learning.

    Vishal Pawar,
    PMP Certified, Lead Consultant, HCL Technologies Ltd. Mumbai Area, India

    Connect at linkedIn

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    The best part about the course is that, variety of problems with real world use cases were covered.

    Shrikanth K,
    Technical Lead, Dhruv Compusoft

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    A very good course covering lots of topics. Excellent class delivery and lecture notes. I really learnt a lot and will surely miss not having the classes any more. I will definitely keep in touch with edureka! and my instructor through LinkedIn and emails. I would also like to convey my special thanks to the edureka! support team for their prompt technical support that is available 24/7 and for their awesome Learning Management System (LMS) on the website with all the class recordings and the material.

    Sarvani Kare,
    Sr. Software developer, Lockheed Martin Information Technology, Baltimore, Maryland Area

    Connect at linkedIn

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    When I was planning to join the Hadoop course with Edureka, I really thought and questioned myself that can I really attend each class for 3 hours continuously? But I was wrong in doubting the interest level of Online class at edureka!. Every passing week, i wait for the weekend class eagerly in order to learn more and more on Hadoop. I realized that it is not to the listener's credit but definitely to the tutor's credit who ensures that his listener's doesn't feel bore in the 3 hour plus class.

    Sabitha Komeravelli,
    ETL Consultant at Hewlett-Packard, Austin, Texas Area

    Connect at linkedIn

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    I found the big data course from Edureka to be comprehensive, and practical. Course instructor was very knowledgeable, and handled the class very well in terms of making it interactive, keeping it interesting, and responding to all questions from students. The support staff was excellent as well, engineers assisted me remotely when I encountered an issue with HDFS even after the course was over. Overall, highly recommend Edureka for big data training and more.

    Pramod Kunju,
    Data Warehouse Guru, Greater Los Angeles Area

    Connect at linkedIn

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    Instructor explains everything with related and practical real world use cases and examples of Hadoop implementation.

    Sneha Abraham,
    Technology Analyst and Services Professional Infosys, Hollywood, Florida

    Connect at linkedIn

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    The course fulfilled its purpose. Presenter made everyone understand concepts of Hadoop and a clear picture of its functioning.

    Prashant Mishra,

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    The classes are very informative. Many simple and real world examples make the technical topics easy to understand. Now, I will never forget the Big Data and Hadoop concepts.

    Gifty Sethi,

    Connect at linkedIn

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    The online course delivered by Edureka on big data, Hadoop - developer is really nice. The first thing of Edureka is that, the very first day of your registration, you have access the full tutorial ( record of some previous batch) and which will provide enough knowledge/teaching, so whenever you are attending your actual training session, you are not a freshers of the session, but a kind, expert and you can clear any knowledge gap. More of that, as you are getting 2 lectures for the same session, your knowledge is much more, than you would have expected. As these recording will be available you for ever, you always go again and again and again. The help/administration/support is really really good. For Hadoop big Data developer, I will recommend to join. Thanks Tanmoy

    Tanmoy Kar,

    Connect at linkedIn

    More Reviews
    • Module 1
    • Hadoop Architecture

    Learning Objectives - In this module, you will understand what is Big Data, What are the limitations of the existing solutions for Big Data problem, How Hadoop solves the Big Data problem, What are the common Hadoop ecosystem components, Hadoop Architecture, HDFS and Map Reduce Framework, and Anatomy of File Write and Read.

    Topics - What is Big Data, Hadoop Architecture, Hadoop ecosystem components, Hadoop Storage: HDFS, Hadoop Processing: MapReduce Framework, Hadoop Server Roles: NameNode, Secondary NameNode, and DataNode, Anatomy of File Write and Read.



    • Module 2
    • Hadoop Cluster Configuration and Data Loading

    Learning Objectives - In this module, you will learn the Hadoop Cluster Architecture and Setup, Important Configuration files in a Hadoop Cluster, Data Loading Techniques.

    Topics - Hadoop Cluster Architecture, Hadoop Cluster Configuration files, Hadoop Cluster Modes, Multi-Node Hadoop Cluster, A Typical Production Hadoop Cluster, MapReduce Job execution, Common Hadoop Shell commands, Data Loading Techniques: FLUME, SQOOP, Hadoop Copy Commands, Hadoop Project: Data Loading.



    • Module 3
    • Hadoop MapReduce framework

    Learning Objectives - In this module, you will understand Hadoop MapReduce framework and how MapReduce works on data stored in HDFS. Also, you will learn what are the different types of Input and Output formats in MapReduce framework and their usage.

    Topics - Hadoop Data Types, Hadoop MapReduce paradigm, Map and Reduce tasks, MapReduce Execution Framework, Partitioners and Combiners, Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs), Output Formats (TextOutput, BinaryOutPut, Multiple Output), Hadoop Project: MapReduce Programming.



    • Module 4
    • Advance MapReduce

    Learning Objectives - In this module, you will learn Advance MapReduce concepts such as Counters, Schedulers, Custom Writables, Compression, Serialization, Tuning, Error Handling, and how to deal with complex MapReduce programs.

    Topics - Counters, Custom Writables, Unit Testing: JUnit and MRUnit testing framework, Error Handling, Tuning, Advance MapReduce, Hadoop Project: Advance MapReduce programming and error handling.



    • Module 5
    • Pig and Pig Latin

    Learning Objectives - In this module, you will learn what is Pig, in which type of use case we can use Pig, how Pig is tightly coupled with MapReduce, and Pig Latin scripting.

    Topics - Installing and Running Pig, Grunt, Pig's Data Model, Pig Latin, Developing & Testing Pig Latin Scripts, Writing Evaluation, Filter, Load & Store Functions, Hadoop Project: Pig Scripting.



    • Module 6
    • Hive and HiveQL

    Learning Objectives - This module will help you in understanding Apache Hive Installation, Loading and Querying Data in Hive and so on.

    Topics - Hive Architecture and Installation, Comparison with Traditional Database, HiveQL: Data Types, Operators and Functions, Hive Tables(Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables), Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries, Views, Map and Reduce side Joins to optimize Query).



    • Module 7
    • Advance Hive, NoSQL Databases and HBase

    Learning Objectives - In this module, you will understand Advance Hive concepts such as UDF. You will also acquire in-depth knowledge of what is HBase, how you can load data into HBase and query data from HBase using client.

    Topics - Hive: Data manipulation with Hive, User Defined Functions, Appending Data into existing Hive Table, Custom Map/Reduce in Hive, Hadoop Project: Hive Scripting, HBase: Introduction to HBase, Client API's and their features, Available Client, HBase Architecture, MapReduce Integration.



    • Module 8
    • Advance HBase and ZooKeeper

    Learning Objectives - This module will cover Advance HBase concepts. You will also learn what Zookeeper is all about, how it helps in monitoring a cluster, why HBase uses Zookeeper and how to Build Applications with Zookeeper.

    Topics - HBase: Advanced Usage, Schema Design, Advance Indexing, Coprocessors, Hadoop Project: HBase tables The ZooKeeper Service: Data Model, Operations, Implementation, Consistency, Sessions, States.



    • Module 9
    • Hadoop 2.0, MRv2 and YARN

    Learning Objectives - In this module, you will understand the newly added features in Hadoop 2.0, namely, YARN, MRv2, NameNode High Availability, HDFS Federation, support for Windows etc.

    Topics - Schedulers:Fair and Capacity, Hadoop 2.0 New Features: NameNode High Availability, HDFS Federation, MRv2, YARN, Running MRv1 in YARN, Upgrade your existing MRv1 code to MRv2, Programming in YARN framework.





    • Module 10
    • Hadoop Project Environment and Apache Oozie

    Learning Objectives - In this module, you will understand how multiple Hadoop ecosystem components work together in a Hadoop implementation to solve Big Data problems. We will discuss multiple data sets and specifications of the project. This module will also cover Apache Oozie Workflow Scheduler for Hadoop Jobs.

    Some of the data sets on which you may work as a part of the project work:

    • Twitter Data Analysis : Download twitter data and the put it in HBase and use Pig, Hive and MapReduce to garner the popularity of some hashtags

    • Stack Exchange Ranking and Percentile data-set : It is dataset from StackOverFlow, in which there ranking and percentile details of Users

    • Loan Dataset : It deals with the users who has taken along with their Emi details, time period etc

    • Data -sets by Government: 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 : The dataset is for system toencode names , for eg. +/- label followed by a persons name

    • NYC Data Set: New York Stock Exchange data

    • Weather Dataset : It has all the details of weather over a period of time using which you may find out the hottest or coldest or average temperature

    In addition, you can choose your own dataset and create a project around that as well.

    Edureka Certification Process:

    • At 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.
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