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.
제공자:
Hadoop Platform and Application Framework
캘리포니아 샌디에고 대학교이 강좌에 대하여
귀하가 습득할 기술
- Python Programming
- Apache Hadoop
- Mapreduce
- Apache Spark
제공자:

캘리포니아 샌디에고 대학교
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.
강의 계획표 - 이 강좌에서 배울 내용
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.
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.
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.
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.
검토
- 5 stars45.41%
- 4 stars28.05%
- 3 stars12.37%
- 2 stars6.71%
- 1 star7.44%
HADOOP PLATFORM AND APPLICATION FRAMEWORK의 최상위 리뷰
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.
I'm forced to give 5 stars. I don't want to have a certification on a poor quality course (another coursera mistake). This material needs tremendous amount of work to get finished and revised.
Covers the basics well, but lacks depth and integration between the weeks. E.g. it would be nice to see how to use Spark + HDFS together and what the efficiency considerations are.
A r\n\ne\n\na\n\nl\n\nl\n\ny\n\ng\n\no\n\no\n\nd\n\nc\n\no\n\nu\n\nr\n\ns\n\ne\n\nc\n\no\n\nv\n\ne\n\nr\n\ni\n\nn\n\ng\n\nt\n\nh\n\ne\n\nb\n\na\n\ns\n\ni\n\nc\n\ns
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 수료증을 구매하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.