This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process.
Offered By
Hadoop Platform and Application Framework
University of California San DiegoAbout this Course
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Shareable Certificate
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Approx. 26 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Skills you will gain
- Python Programming
- Apache Hadoop
- Mapreduce
- Apache Spark
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Approx. 26 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Offered by
University of California San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Syllabus - What you will learn from this course
2 hours to complete
Hadoop Basics
Welcome to the first module of the Big Data Platform course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Hadoop stack and tool and technologies associated with Big Data solutions.
2 hours to complete
7 videos (Total 53 min), 4 readings, 1 quiz
4 hours to complete
Introduction to the Hadoop Stack
In this module we will take a detailed look at the Hadoop stack ranging from the basic HDFS components, to application execution frameworks, and languages, services.
4 hours to complete
10 videos (Total 70 min), 6 readings, 3 quizzes
3 hours to complete
Introduction to Hadoop Distributed File System (HDFS)
In this module we will take a detailed look at the Hadoop Distributed File System (HDFS). We will cover the main design goals of HDFS, understand the read/write process to HDFS, the main configuration parameters that can be tuned to control HDFS performance and robustness, and get an overview of the different ways you can access data on HDFS.
3 hours to complete
9 videos (Total 58 min), 5 readings, 3 quizzes
7 hours to complete
Introduction to Map/Reduce
This module will introduce Map/Reduce concepts and practice. You will learn about the big idea of Map/Reduce and you will learn how to design, implement, and execute tasks in the map/reduce framework. You will also learn the trade-offs in map/reduce and how that motivates other tools.
7 hours to complete
9 videos (Total 27 min), 3 readings, 3 quizzes
Reviews
- 5 stars45.44%
- 4 stars28.03%
- 3 stars12.36%
- 2 stars6.71%
- 1 star7.44%
TOP REVIEWS FROM HADOOP PLATFORM AND APPLICATION FRAMEWORK
by KENov 15, 2015
I really enjoyed this course. It helped me a lot in making my first steps through Big Data. I'm really looking forward for the next courses in Big Data specialization.
by DZDec 21, 2015
I don't think the answers of quiz are accurate. Some answers may be true in some cases, but not in others. Difficult to choose, even review the videos and do some google.
by ORSep 24, 2019
This course gives a nice introduction to Hadoop basics. Unfortunatly, i faced many issues to work with cloudera VM and some commands in tutorials are obsolete. Thank you very much for your efforts.
by ADOct 26, 2017
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