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學生對 加州大学圣地亚哥分校 提供的 Big Data Modeling and Management Systems 的評價和反饋

4.4
2,181 個評分
356 個審閱

課程概述

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+....

熱門審閱

MP

Oct 17, 2017

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.

VG

Mar 28, 2017

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)

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76 - Big Data Modeling and Management Systems 的 100 個評論(共 346 個)

創建者 Мухамбетов Р А

Oct 19, 2016

interesting

創建者 Alfonso A G

Oct 30, 2016

Really nice course learned much about MongoDB and Spark

創建者 laksh b

Feb 19, 2017

excellent course

創建者 Lola B

Oct 10, 2017

Provides a got exposure to major big data management concepts.

創建者 Ferry W

Jul 02, 2018

easy to understand and helpful

創建者 Vincent R

Feb 05, 2018

Great course for the beginner I am! The short video concept is a good and convenient learning tool. The final capstone exercise was challenging. Really enjoy it. I look forward to begin the next course of the specialization.

創建者 Rozina S

May 14, 2018

Thank you Coursera for your help and support.

創建者 Julien C

Dec 03, 2017

Good course! The last exam could be better.

創建者 Aliasgher N

Jan 21, 2018

While it was difficult than the intro course, I mean 9 mins video are too long for me but I really gained a lot of knoeledge

創建者 Chenyang A

Feb 17, 2018

Wonderful course

創建者 Assaduzzaman N

Sep 26, 2017

This is a very good course in most aspects.

創建者 Syed M Z H

Apr 10, 2018

Great course! As described in the course info, the course didn't cover Neo4j, Impala, SparkSQL, is it covered in some other course?

創建者 Sourav K C

May 03, 2018

This has been an excellent course helping me to learn the basics of Big data and its management

創建者 Vijay B P

Feb 04, 2018

Great insights

創建者 Alan P N

May 23, 2018

Simples e direto ao ponto!

Muito bom

創建者 mudit

Nov 18, 2017

good course

創建者 An D

Mar 13, 2017

Thank you!

創建者 Hans E

Oct 22, 2017

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

創建者 Sayed T S

Apr 13, 2017

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

創建者 Tandy S

Sep 22, 2017

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

創建者 Joydeep S

Jul 18, 2017

This course was really nice and very well put together. I learned a lot and more so, learned in a structured manner. For people like me who come from traditional data background and new to big data concepts this way of presenting the course is very important and fruitful. I hoping to complete the rest of the courses in this series and end up with a good depth in knowledge of big data

創建者 Prasad G

Mar 18, 2017

Excellent course.

創建者 kundan k

Apr 14, 2018

nice course

創建者 Michel R

Nov 15, 2017

Perfect introduction.

創建者 Suresh V

Apr 20, 2017

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