Bigdata & Hadoop

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Hadoop Course Overview
Hadoop big data training course is designed to provide knowledge & skills to become a finest Hadoop Developer & Administrator. In-depth knowledge of concepts with hands-on exercises such as Hadoop Architecture, HDFS, Map-Reduce, HBase, HIVE, PIG, Flume, Sqoop, Oozie, Spartk, BigInsights, Administering Hadoop Cluster etc., will be covered. There will be well-designed challenging, practical and focused hands-on exercises.

What is Big Data
According to Wikipedia, Big data is 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 organization is successful in managing its data well, it can easily reach its target in very short span than the usual time. But how the organizations manage it?

Hadoop – Solution for Big Data

  • Apache Hadoop is an open-source software framework that supports data-intensive distributed applications, licensed under the Apache v2 license. It supports the running of applications on large clusters of commodity hardware. Hadoop was derived from Google’s Map/Reduce and Google File System (GFS) papers.
  • Hadoop is written in the Java programming language and is an Apache top-level project being built and used by a global community of contributors. Hadoop and its related projects (Hive, HBase, Zookeeper, and so on) have many contributors from across the ecosystem. Though Java code is most common, any programming language can be used with “streaming” to implement the “map” and “reduce” parts of the system.
  • Hadoop was created by Doug Cutting and Mike Cafarella in 2005. Cutting, who was working at Yahoo at the time, named it after his son’s toy elephant. It was originally developed to support distribution for the Nutch search engine project.

Modes of training

  • Weekend Batch: Weekend batches will be having classes one day per week for 3-4hrs each. You can join either Saturday/Sunday Hadoop training batch.
  • Fast Track: You can attend daily, so that you can complete the course in 1/5th of the time.
  • Online Hadoop Training: If you cannot attend the classroom sessions, you can register for our online sessions.
  • Corporate Training: We customize the course according to your project requirements & train the engineers of your organization.

Who can join hadoop course

  • Software Engineers, who are into ETL/Programming and exploring for great job opportunities globally.
  • Managers, who are looking for the latest technologies to be implemented in their organization, to meet the current & upcoming challenges of data management.
  • Any Graduate/Post-Graduate, who is aspiring a great career towards the cutting edge technologies.
  • Software Developers and Architects
  • Analytics Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspiring Data Scientists
  • Graduates looking to build a career in Big Data Analytics
  • Anyone interested in Big Data Analytics


What learning outcomes can be expected?

After completing this course, you will be able to:

  • Master the concepts of the Hadoop framework and its deployment in a cluster environment
  • Understand how the Hadoop ecosystem fits in with the data processing lifecycle
  • Learn to write complex MapReduce programs
  • Describe how to ingest data using Sqoop and Flume
  • Explain the process of distributing data using Spark
  • Learn about Spark SQL, Graphx, MLlib
  • List the best practices for data storage
  • Explain how to model structured data as tables with Impala and Hive
  • How to choose data storage format for your data usage patterns
  • Practice real-life projects using Hadoop and Apache Spark
  • How does the certificate process work?

Within each of our certified courses we have graded projects and exams. To receive the certificate you need to complete and submit these graded projects and exams and achieve the passing mark to receive the certificate.

  • Do you offer placement services?

We offer you placement assistance in terms of CV preparation and interview preparation. If and when corporate approach us for filling their openings we shall ask you to apply.

  • What is analytics?

Please visit website pages for more info

  • How does a self-paced course work?

In this version once you have enrolled for the course and made the payment you shall be able to access the videos and course content on the Learning Management System (LMS) within one working day. You can login to the LMS by clicking on the student login button on the website and start viewing the content at your own time and pace. Each course will be divided into various modules which you will go through in a serial manner at your own pace. You can leave the module and start again from the point at which you left off. Instructions will be provided regarding what needs to be done in each module.

The modules will have videos, interactive presentations and other material. You will need to complete and submit the graded project and final exam through the LMS itself. The exam scores will be available immediately along with the correct answers while we shall grade the project and provide the feedback to you at a later date.

You can access the content through the LMS whenever you want. You have a life-time access to the content.

You can engage in discussions on the course forum with fellow students and the trainers. You can also email your queries to the course trainers and they shall reply in 24 working hours.

  • How does a online classroom course work?

This is a live, instructor-led, online classroom course where you shall login to a virtual classroom, which will be led by the course trainer, who will share his screen for the participants to view. You can interact with the trainer and fellow students from the comfort of your own through the audio or chat functionality or by sharing your screen. These sessions will be held on specific days and times for the duration of the course and you will need to be online at that time. You can even use mobiles and tablets to login to the session.

If you miss a session, then you can view a recording of the same from our LMS. Each session will be recorded and put on the LMS for you to re-visit at your convenience at anytime and from anywhere. You have life time access to the same. You will also have access to the presentation materials and exercise files on the LMS.

You can engage in discussions on the course forum with fellow students and the trainers. You can also email your queries to the course trainers after the session and they shall reply in 24 working hours.

  • How is an online course better than a classroom course?

Online course and offline/classroom course are essentially just two means towards the same goal. Worldwide the growing trend is to learn online at your own convenience at a cheaper cost.

The online, live instructor led online classrooms provide the advantages and interactivity of a physical classroom without the headache of traveling. The online self-paced courses offer you the option to learn anywhere, anytime at your own pace and you can also interact with fellow students and trainers through the discussion forums or through email.

  • Do I need to follow specific timelines to complete the self-paced course?

For the self-paced courses there are no deadlines but we encourage you to follow the time guidelines mentioned for each module of the course. The quizzes will be internally timed though there is no particular time to take them. You will have life-time access to the course

  • Who are your trainers?

Our trainers and content developers are all highly experienced in the industry and have a passion for teaching. Some of the sessions will be taken by very experienced and well placed guest trainers who are still working in the industry. This will also help you build a network in the industry.

  • Can I leave a batch in between and then re-join the next batch from where I left?

For the online classroom course we don’t encourage this but under unavoidable circumstances we shall consider your written request. Please note that accommodating new enrollments would be the priority for any new batch; post the new enrollments if there is space available only then will we be able to accommodate the previous batch students.

  • What is the refund policy?

For the online classroom courses, if you decide to cancel your enrollment you can do so anytime till 6 days post the start date and your entire fees shall be refunded to you in 15 working days’ time from the date of intimation to us. After this time we shall not be able to refund your fees.

For the online self-paced version of the course you can cancel anytime till 3 days post your enrollment for the course for a full refund of the fees. Post this we shall not be able to offer you a refund.

  • How many students in a batch?

We shall restrict the maximum number of participants in any batch to 25.

  • What if I miss a class?

If you miss a session, then you can view a recording of the same from our LMS. Each session will be recorded and put on the LMS for you to re-visit at your convenience at anytime and from anywhere. You have life time access to the same. You will also have access to the presentation materials and exercise files on the LMS.

  • What software tool do you use for the SAS courses?

SAS offers the free to download SAS University Edition which you can install in your own computer for anytime access. You will need a minimum of an Intel i3 processor or better and Windows 7 or 8 (or OSX) or better to install the same.

  • What are the system requirements for the online course?

You just need to have a decent internet connection [512kbps-1mbps] and a headset with mic to attend the online classes.

  • How can I make payments?

We offer you all kinds of secured payment options like credit cards, debit cards, net banking, online bank transfers, cheque payment and Paypal. If you do not see your preferred payment options kindly contact us here.

For cheque payments and online bank transfers your access to the course will start when the payments reflect in our account. You should send us a copy of the cheque or the online bank transfer receipt at with your name, address, phone no. and course enrolled for details.

  • Module 1 – Big Data – Beyond the Hype
    1. Big Data Skills and Sources of Big Data
    2. Big Data Adoption
  • Module 2 – What is Big Data?
    1. Characteristics of Big Data – The Four V’s
    2. Understanding Big Data with Examples
  • Module 3 – The Big Data Platform
    1. Key aspects of a Big Data Platform
    2. Governance for Big Data
  • Module 4 – Five High Value Big Data Use Cases
    1. Overview of High Value Big Data Use Cases
    2. Examples
  • Module 5 – Technical Details of Big Data Components
    1. Text Analytics and Streams
    2. Cloud and Big Data
  • Module 1 –  Introduction to Hadoop
    1. Understand what Hadoop is
    2. Understand what Big Data is
    3. Learn about other open source software related to Hadoop
    4. Understand how Big Data solutions can work on the Cloud
  • Module 2 – Hadoop Architecture
    1. Understand the main Hadoop components
    2. Learn how HDFS works
    3. List data access patterns for which HDFS is designed
    4. Describe how data is stored in an HDFS cluster
  • Module 3 – Hadoop Administration
    1. Add and remove nodes from a cluster
    2. Verify the health of a clusterStart and stop a clusters components
    3. Modify Hadoop configuration parameters
    4. Setup a rack topology
  • Module 4 – Hadoop Components
    1. Describe the MapReduce philosophy
    2. Explain how Pig and Hive can be used in a Hadoop environment
    3. Describe how Flume and Sqoop can be used to move data into Hadoop
    4. Describe how Oozie is used to schedule and control Hadoop job execution
  • Module 1 – About MapReduce
    1. The MapReduce model v1
  • Module 2 – Limitations
    1. Limitations of Hadoop 1 and MapReduce 1
  • Module 3 – Classes and Access
    1. Review of the Java code required to handle the Mapper class, the Reducer class, and the program driver needed to access MapReduce
  • Module 4 – About YARN
    1. The YARN model
  • Module 5 – Comparisons
    1. Comparison of YARN / Hadoop 2 / MR2 vs Hadoop 1 / MR1