Intro to Hadoop and MapReduce
Overview
The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data.
Syllabus
- Big Data
- What is Big Data?,The problems big data creates.,How Apache Hadoop addresses these problems.
- HDFS and MapReduce
- Discover how HDFS distributes data over multiple computers.,Learn how MapReduce enables analyzing datasets in parallel across multiple machines.
- MapReduce code
- Write your own MapReduce code.
- MapReduce Design Patterns
- Use common patterns for MapReduce programs to analyze Udacity forum data.
Taught by
Sarah Sproehnle, Ian Wrigley and Gundega Dekena
Related Courses
Reviews
4.0 rating, based on 21 reviews
-
Lukas Tencer completed this course and found the course difficulty to be hard.
Debugging Hadoop code is pain, but otherwise very nice class. I appreciate that it brings real-world examples and lets you try the code on live system, not only udacity coding platform. -
Denys ShapovalovThis is good place to start with Hadoop HDFS filesystem and map reduce concepts. Good balance between theory and practice and approach is comfortable for novice.
-
Fuaad Haider completed this course.
Can anyone tell what the benefit end users usually forum moderators will get from the extracted information in the final project?? i.e, Benefits of
1-List of students per thread
2-Finding Top Ten Tags.
3- Student Timings i.e. at which they are most active
4-Co-relation between question and answer.
-
Jason Michael Cherry completed this course, spending 2 hours a week on it and found the course difficulty to be easy.
This is a solid introduction to Hadoop and MapReduce concepts. The assignments are a good exercise in getting familiar with the basics. There's a lot that this course doesn't cover, but it's enough to get your feet wet with Hadoop and MapReduce concepts. -
Soham completed this course, spending 2 hours a week on it and found the course difficulty to be easy.
Very nice, introductory course; Video content is not much; very short and fast, but the exercise questions are well designed and illustrate some real-world applications of MapReduce -
Abhiram Shastri completed this course, spending 1 hours a week on it and found the course difficulty to be easy.
Ridiculously tiny videos, no detailed explanations, disappointed. Please add some more content and don't rush thorough them. Udacity could have done better -
Chaitra Patil is taking this course right now.
-
Adeppa Thondur is taking this course right now.
-
Pedro Innecco completed this course.
-
Sauro Grandi completed this course.
-
François ALLAIN completed this course.
-
Xu Zhiming
Xu Zhiming is taking this course right now.
-
Pablo Torre completed this course.
-
Xus López completed this course.
-
Mark Henry Butler completed this course.
-
Namsi completed this course, spending 2 hours a week on it and found the course difficulty to be easy.
-
Colin Khein completed this course.
-
Sharavi Ravi Chander completed this course.
-
Adam Hjerpe completed this course.
-
Mradul
Mradul is taking this course right now.
Never Stop Learning!
