- What is Big Data?
- The problem Big Data creates
- How Apache Hadoop addresses these problems.
Intro to Hadoop and MapReduce
Learn the fundamentals of Apache Hadoop and its principles by pursuing the certification of Intro to Hadoop and ...Read more
Intermediate
Online
1 Month
Free
Quick Facts
particular | details | |||
---|---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
The Intro to Hadoop and MapReduce is a free online course brought to the students by the platform of Udacity. The course deals with the topics of Hadoop, MapReduce, and other related aspects. It is an intermediate-level training that helps the student gain information about Big Data, HDFS, MapReduce code, etc.
The programme does not have any restrictions regarding attendance or timings of sessions and can be pursued at the pace of the candidate. The Intro to Hadoop and MapReduce certification syllabus is divided into four lessons and can be completed within a month. The concepts of the programme can be understood easily by the students if they know the fundamentals of Python. The course is taught by three industry professionals - Sarah Sproehnle, Ian Wrigley, and Gundega Dekena.
The Intro to Hadoop and MapReduce online course material includes interactive videos, quizzes, and other exercises. Students can easily achieve the certificate at the end of the programme by completing all the curriculum components.
The highlights
- Intermediate level of programme
- Free of cost course
- Online programme
- One month is required
- Interactive quizzes
- Self-paced course
- Provided by Udacity
- Open course
Program offerings
- Quizzes
- & video lectures
Course and certificate fees
Type of course
Free
- Candidates can enter the course without paying the fees since it is a free course.
Intro to Hadoop and MapReduce Fees Details
Heads | Amount in Rupees |
Course fee | Free |
certificate availability
No
Who it is for
Students who can join the Intro to Hadoop and MapReduce programme are given below-
- Participants who have a basic understanding of Python.
- Candidates who are interested in this course.
Eligibility criteria
Education
Candidates need to have a basic understanding of Python to understand the programme.
Certification Qualifying Details
Participants need to finish the entire course to be a recipient of the certification of the online training.
What you will learn
By the time the Intro to Hadoop and MapReduce training comes to its end, the student will be able to understand the following points-
- Candidates will understand the concepts of Hadoop and its problems.
- Participants will be able to write MapReduce programs.
- Learners will get to know about the problems and solutions of the concepts related to HDFS and MapReduce.
- Students will be able to analyze datasets in multiple machines in the Intro to Hadoop and MapReduce certification.
- Candidates will gain an understanding of how Apache Hadoop addresses the problems of Big Data.
- Students will be able to write the codes of MapReduce in the Intro to Hadoop and MapReduce programme.
- Participants will come to know about the common MapReduce design patterns and their analysis.
The syllabus
Lesson 1: Big Data
Lesson 2: HDFS and MapReduce
- Discover how HDFS distributes data over multiple computers.
- Learn how MapReduce enables analyzing datasets in parallel across multiple machines.
Lesson 3: MapReduce code
- Write your own MapReduce code
Lesson 4: MapReduce design patterns
Use common patterns for MapReduce programs to analyze Udacity forum data.
Admission details
The candidate needs to adhere to the following guidelines to get admitted to the Intro to Hadoop and MapReduce certification-
Step 1- Go to the official course webpage.
Step 2- The candidate must create an account on Udacity by providing the required details.
Step 3- The candidate must click on the Start Free Course option to start the course.
Step 4- The candidate can begin the lessons by clicking on the Start option on the redirected page.
How it helps
The Intro to Hadoop and MapReduce certification course is designed for students with a basic understanding of Python. Candidates who get enrolled in this course get to know about the processing of Big Data. The certification of the programme is easily obtainable for the students just by completing the whole curriculum. The Intro to Hadoop and MapReduce certification benefits the candidate by providing scope for their professional and academic purposes. Through this programme, students become eligible to apply for a higher level of training in the same discipline since this course introduces the students to the concepts of Big Data, HDFS, etc. By completing this certification, candidates can get an internship or job in the field related to programming. Candidates can share the achievement of the certification in their CVs or resumes. They can also promote their skills online by sharing the certificate on other social platforms such as LinkedIn. Candidates can also get into the Intro to Hadoop and MapReduce online course to revise the concepts and enhance their knowledge regarding the subject matter. The employed candidates can also apply for a promotion or increment in their organization by participating in this course.
Instructors
FAQs
Which online course provider is offering Intro to Hadoop and MapReduce training course?
The online training is provided by Cloudera in association with Udacity.
Does the Intro to Hadoop and MapReduce training provide credits equivalent to the university level?
No, the course does not provide any credits equivalent to the university level.
What is/are the prerequisites for this programme?
Candidates need to have basic knowledge of Python to understand the curriculum of the programme.
Do I need to maintain a minimum attendance percentage for this course?
There is no requirement to maintain a minimum attendance percentage in this course.
How can I attend the classes?
Candidates can click on the start button and attend the video sessions to get started with the lessons.
When will I be able to complete the Intro to Hadoop and MapReduce certification syllabus?
Participants need to complete the whole syllabus in one month.
Can I download the study content from the course?
Yes, students can download the study content from the programme.
How many lessons will I have to study for this course?
The course Intro to Hadoop and MapReduce by Udacity is divided into four lessons that are further divided into various sub-sections.
When can I start the programme?
Students can get started with the online programme as per their requirements as there is no last date for admission into this course.
Is there any exam for certification in this course?
No, the student needs to only complete the course to get the certification of the programme.
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