MAPREDUCE
Specialization | 6 Course Series
This Online MapReduce Certification includes 2 courses, 4 Projects with 19+ hours of video tutorials and One year access. You get to learn and apply concepts of MapReduce with live projects. This Training includes a conceptual and practical understanding of secondary sorting, Joins in Hadoop and combiners.
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What you'll get
- 17+ Hours
- 6 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
- Download Curriculum
Synopsis
- Courses: You get access to all 6 courses in the Projects bundle. You do not need to purchase each course separately.
- Hours: 17+ Video Hours
- Core Coverage: Concept and application of MapReduce in Big Data
- Course Validity: One year access
- Eligibility: Anyone serious about learning Big Data and wants to make a career in this Field
- Pre-Requisites: Basic knowledge about Management would be preferable
- What do you get? Certificate of Completion for each of the 6 courses and projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume or LinkedIn profile to showcase your enhanced skills
- Type of Training: Video Course – Self Paced Learning
Content
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MODULE 1: MapReduce Essentials Training
Courses No. of Hours Certificates Details MapReduce - Beginners 3h 01m ✔ MapReduce - Advanced 5h 35m ✔ -
MODULE 2: Learning from Practicals
Courses No. of Hours Certificates Details Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce 53m ✔ Project on Hadoop - Youtube Data Analysis using PIG/MapReduce 3h 02m ✔ Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop 3h 34m ✔ Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce 2h 33m ✔
Sample Certificate
Requirements
Pre-requisites
- MapReduce or Hadoop is something that people get barely get exposure to as compared to the programming languages. It could be considered a unique technology. So it is obvious that one must have to possess below skills to being learning the MapReduce certification course.
- Programming Fundamental: You must know the basics of programming as you will be supposed to write programs in HIVE, PIG and so on. Though it is not the sole of Hadoop, you should have some idea about coding.
- Good Communication: As the processed outcome has to be presented to the next action takers, you should have good communication skills. Well, not just here but everywhere you must have some unique to present data.
- Analysis fundamentals: MS Excel provides us an interface where we can work with data. Thought the size of data is not that much but still, it gives you an idea of how the data could be processed.
Target Audience
- MapReduce is the kind of technology that needs some prior experience as data analytics to learn it efficiently. It is kind of a vast topic and hence mostly preferred by working professionals. So if we talk about the target audience. Of course, working folks will be the best audience who can opt for this MapReduce certification course to enhance their expertise.
- Coming to students, most of them prefer to have internships to begin their professional careers. So all the students who want to work as an intern in reputed organizations should learn MapReduce as it can give a good kick start to their career. By using several modules taught here like HIVE or PIG, students can leverage it to make some basic projects as well.
- People who are working in any other domain of information technology but wants to jump in as data scientists could be the perfect audience for this MapReduce certification course as nothing is best than a person willing to learn. Though it will be a bit hard to begin the things right after changing the domain, it’s also true that it won’t take much time to have you dive deep into this technology.
Course Ratings
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Excellent, even though at the beginning it is not the easiest accent to understand, once one get familiarized everything is smooth. This course inspired me to study more about programming and languages. I am just beginning so I think I will come back to it again anytime I need help analyzing YouTube videos.
Mónica RodrÃguez Espitia
I am enjoying these series of courses. As before I'd like to see the source so it would be easier to follow along with the instructor. In my job I am need to get this course under my belt to stay relevant and compete. I am passionate about DevOps and these kind of courses also help me grow in my field. Keep up the great work!
John Andrade
The course was pretty good, all examples function very well and the instructor explained the concepts very well. Earlier I had sometimes difficulties to import the correct classes because the hadoop have many deprecated classes but this class in hadoop is very enriching. I did all topics at my environment and all worked well. Congratulations & good work !
Jorge Ferreira Gutierrez Junior
In this second part of the Big Data Master, the course goes into more advanced concepts. First gets deep into the incredibly large code implications then it explains how to perform joins from structured data and finally explains the role of reducers. The code-oriented approach of explanations leaves no room for doubts, thus being the most convenient and practical possible learning resource.
Francisco Lopez Gil