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Big Data Modeling and Management Systems(으)로 돌아가기

캘리포니아 샌디에고 대학교의 Big Data Modeling and Management Systems 학습자 리뷰 및 피드백

2,905개의 평가
494개의 리뷰

강좌 소개

Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources. At the end of this course, you will be able to: * Recognize different data elements in your own work and in everyday life problems * Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design * Identify the frequent data operations required for various types of data * Select a data model to suit the characteristics of your data * Apply techniques to handle streaming data * Differentiate between a traditional Database Management System and a Big Data Management System * Appreciate why there are so many data management systems * Design a big data information system for an online game company This course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Refer to the specialization technical requirements for complete hardware and software specifications. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

최상위 리뷰

2017년 10월 16일

Good Explanations of Concepts and Nice Tests. I got a trilling experience in completing the peer Assignments with keen observation and Analyzing of Concepts learned.Thanq for your course very much.

2017년 3월 27일

Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)

필터링 기준:

Big Data Modeling and Management Systems의 485개 리뷰 중 101~125

교육 기관: Hans E

2017년 10월 22일

Good mix of theory and practice. Nice hands-on excercises with Twitter, MongoDb, Posgres etc.

교육 기관: Selim S

2016년 11월 2일

LEarned a lot, wasn't easy but it was manageble for someone like me who has no IT background

교육 기관: João F

2020년 6월 18일

Very good course. Clearly explained. Interesting hands-on exercises in the virtual machine.

교육 기관: Diogo M

2019년 7월 22일

Nice Course, The possibility of use an cloudera image for hands on is so great for çearning

교육 기관: kaan g

2021년 2월 28일

This course may build a good base about big data modelling and management like its name.

교육 기관: S. M Y I

2020년 3월 23일

The course laid a good theoretical base for further exploration of Big data Analytics.

교육 기관: Tandy S

2017년 9월 22일

It's a great source to understand what is Big Data from concepts to its technologies

교육 기관: Suresh V

2017년 4월 20일

I really enjoy learning for the first time after a long time. I will keep learning.

교육 기관: Vivek T

2019년 6월 30일

This course was so good which focuses on the basics and also on hands-on sessions.


2018년 12월 19일

Thanks lot to Coursera

given me new life to me

I want to go further in this course

교육 기관: Mohamed F

2017년 3월 14일

very nice and interesting course i recommend it for anyone start new in big data

교육 기관: Sayed T S

2017년 4월 13일

It was a great course from the best place in the world and best instructors .

교육 기관: Pablo A L Z

2020년 7월 10일

Realmente es un excelente curo, no me puedo quejar lo de todo lo que aprendi

교육 기관: Siddharth G

2020년 7월 19일

A really great course for getting info about big data management systems.

교육 기관: igor s

2016년 12월 18일

Simply another great course within Coursera courses, thank you very much.

교육 기관: Mandar T

2020년 8월 16일

Amazing course with very relevant content and great course delivery!

교육 기관: Kumar A

2019년 10월 22일

Well rounded course with theoretical discussion and hand-on sessions

교육 기관: Raunak S

2018년 3월 14일

great course for those who wish to go beyond the basics of big data.

교육 기관: juan

2021년 1월 18일

Excelente temario muy claro por parte de los tutores y organizado.

교육 기관: Laura R

2020년 7월 29일

Very interesting hand on training and useful teoretical information

교육 기관: Fabio P

2017년 12월 7일

Good course to be introduced in the big data modelling environment.

교육 기관: Ing. J H B S

2018년 5월 25일

Difficult topic, but interesting and the explanations were clear.

교육 기관: Prachi J

2017년 12월 7일

It was a very practical and detailed course. Thank you very much.

교육 기관: King W N

2017년 11월 27일

The content and assignments I've found so far are pretty spot on.

교육 기관: agentVargas2012R

2017년 11월 1일

This course is amazing!! Amarath teaches this course like a boss.