Big Data Foundation
Using massive datasets to guide decisions is becoming more and more important for modern businesses. Hadoop and MapReduce are fundamental tools for working with big data. By knowing how to deploy your own Hadoop clusters, you’ll be able to start exploring big data on your own.
With this Nanodegree, you will build your foundations in Hadoop and MapReduce. You will also learn how to deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.
Get started with this Foundation Nanodegree Program to prepare for a career-ready Nanodegree Program
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Basic Python experience requiredSee detailed requirements.
Learn about the 3 V’s of Big data. Learn what big data is & how hadoop solves big data problems.
Discover how HDFS distributes data over multiple computers. Learn how MapReduce enables analyzing datasets in parallel across multiple machines.
Learn how to code in a MapReduce program and analyze data using MapReduce.
Learn about filtering patterns, summarizing patterns, and structural patterns in Mapreduce
Configure & launch hadoop cluster manually
Use automated methods to deploy larger clusters.
Mat is a former physicist, neuroscientist, and data scientist with a passion for education. Recently, he led the Deep Learning Nanodegree Foundation program covering state-of-the-art machine learning models.
Sarah Sproehnle is the Vice President of Educational Services at Cloudera, a company that helps develop, manage and support Apache Hadoop. While she is a geek at heart, her passion is helping people learn complex technology. In addition to teaching people how to use Hadoop, she's taught database administration, various programming languages, and system administration.
Ian Wrigley is currently the Senior Curriculum Manager at Cloudera, responsible for the team which creates all the company's Hadoop training materials. He's been a tech journalist, an instructor, and a course author for over 20 years, during which time he's taught everything from C programming to copywriting for the Web. He describes his job as "teaching geeks to be geekier".
Once upon a time Gundega was a Udacity student. In a way she still is, because she is learning new things from instructors she works with and her Udacity coworkers every day.
If you occasionally want to read fun news about robotics, science and games, follow her on G+ - https://plus.google.com/+GundegaDekena.
Well i have already shared my experience in two or more feedbacks, i just want you to bring more big data related courses like apache spark , hive and all . As only one course is listed in udacity related to big data please bring more, please please.
Thanks. I had a great experience working on this course.
awesome learning experience. evryone should opt this course
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Time to Complete: 2 months
Admissions Closes: 22 September, 2018
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