We create 2.5 quintillion bytes of data every day. So much that 90% of the data in the world today has been created in the last two years alone. Source: IBM Big Data
Big data has thus created opportunities like never before. Professionals who can analyze all this data & create useful information are highly sought after by companies across the world
Big Data Hadoop Online Training classes are being conducted using professional grade IT conferencing system from Citrix. The students can interact with the faculty in real-time during the class using chat and voice. The students will be required to install a light-weight IT application on their device which could be a laptop, desktop, tablet or a mobile. Citrix supports Windows, iOS operating system and recommends an internet speed of 1 MBPS at the user's end.
Hadoop is a software framework for storing and processing Big Data. It is an open-source tool build on java platform and focuses on improved performance in terms of data processing on clusters of commodity hardware.
Professionals aspiring to make career in Big Data Analytics using Hadoop Framework. Software Developers/Engineers, Business analysts, IT managers, Hadoop system administrators.
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.
|Day 1||Introduction to Unix|
|Day 2 & 3||Introduction to Java|
|Day 4||Introduction to HDFS & Pseudo cluster environment|
|Day 5 & 6||Understanding Map-Reduce Basics, Types & Formats|
|Day 12||Live Project - 1|
|Day 14||Live Project - 2|
|Day 15||Spark - I|
|Day 16||Spark - II|
16 day online training Training
We will provide 2 data sets to work on real life projects
3Hrs online interactive session on every 2nd & 4th Sunday of month for all allumni students
- New topics in Big data & Industrial Case studies will be covered.
- Access to Hadoop trends for a year.
- 4 classroom workshops in a year in 5 cities to cover important topics
- Cities for workshop- Mumbai, Pune, Banglore, Kolkata and Delhi only
1Topic Wise study material in the form of Presentation and Case Studies
-PowerPoint Presentation covering all classes
-Code files for each case study
-Recorded Videos of Live Instructor based Training
-Recorded Videos Covering all classes
-Quiz/Assignment with detailed answers and explanation
-Job Oriented Questions to prepare for Certification Exams
-Doubt solving forum to interact with faculty & fellow students
"Java Essentials for Hadoop" and UNIX session
Access to Course Material (Presentations, etc.)s
(Flexibly attend through Online Mode)
|Big Data & Hadoop|
|Course Fees||Rs. 21250|
|3 days- Java and Unix coverage (complimentary)|
|13 days - 40 hrs Online Trainings|
|20 hrs Live Projects|
|PowerPoint Presentation covering all classes|
|Subject wise Recorded Videos covering all classes|
|Quiz & Assignment|
|24x7 Life Time access on material|
|24x7 live support|
|Big Data Trends- New topics coverage|
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 and IT freshers are the key beneficiaries of this course. 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.
Yes, it is a complete classroom session wherein the Hadoop industry experts will be teaching you Hands-on the software itself. It is in-all a 6 weekend course which includes practical training on Software as well as a Live project related to Hadoop.
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 Edupristine for providing training so that they can provide a great learning experience.
The classes are held on Weekends. Depending upon your batch, your classes will conduct on Saturdays or Sundays for 5 hrs on each day.Towards the end of the 6 week schedule, you will undergo a training project and your Exam at the end of the course.
In no event you will lose a lecture forever. The recorded session for the class will be available on the LMS for your reference. Moreover, you can also choose to attend the live class again with a upcoming Batch.
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.
This is very much possible and you can pace it according to your needs. Plus 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.the 24*7 support will be available for 'Java Essentials for Hadoop'.
All your class recordings and other content like PPT's are uploaded on the LMS, to which you have a life time access. You may also choose to download this content for offline reference. 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. You will be in the position to ask the right questions and get the most out of the course.
The Hadoop course at EduPristine is an 7-weekend course. 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.
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.
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.
No, there is no extra charge for Reattempting the Certification Exam.
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. System Requirements - RAM: 4 GB; Processor: 64 bit processor
I have around 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 for Hadoop developers and demand for Hadoop developers is far more than the availability.
It's an Online class which will cover any new updates or topics in Big data field. We keep this as an initiative for all old students to update on new techniques in the market. There will be a 3Hrs online interactive session on every 2nd & 4th Sunday of month for all X-students
New topics in Big data & Industrial Case studies will be covered. All the enrolled students of Hadoop plus will get an Access to Hadoop trends for a year. Additionaly , 4 classroom workshops will be held in a year in 5 cities to cover important topics Cities for workshop- Mumbai, Pune, Banglore, Kolkata and Delhi only
Enrolling for the Big Data course at Edupristine has been a very good choice as the institute has provided an extensive and in-depth knowledge on the topic. The classes and the study materials have been very helpful. Our instructor was truly the best at delivering the Hadoop knowledge; He always ensured that all our queries are answered and no student be left with a single doubt. The organizers at Edupristine have been extremely co-operative.
Overall it was a good experience, being part of the BigData batch. All thanks to our faculty. He made each class very interesting, rather than those typical monotonous slide oriented sessions.He took extra pain to teach us some concepts beyond the syllabus, and was not teaching just for the sake of completing the syllabus.
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