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学生对 加州大学圣地亚哥分校 提供的 Big Data Modeling and Management Systems 的评价和反馈

4.4
2,130 个评分
347 个审阅

课程概述

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+....

热门审阅

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)

筛选依据:

51 - Big Data Modeling and Management Systems 的 75 个评论(共 336 个)

创建者 Lorie S

May 25, 2018

Interesting Course.

创建者 King W N

Nov 27, 2017

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

创建者 MNIF A

Feb 15, 2018

i loved this course

创建者 Glenn B

Feb 06, 2017

I thought this course was great. It gave a phenomenal overview of the tool sets out there and some good practical hands on with them. This series of course is a must for anyone wanting an overview and some hands on in the big data world

创建者 Anurup B

Oct 22, 2017

Very Interesting Course

创建者 Fabio P

Dec 07, 2017

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

创建者 Sunil K S

Jul 24, 2017

excellent coverage of basic models and good hands on

创建者 Sabawoon S

Jan 23, 2018

Excellent content.

创建者 Dhanashree K

Apr 03, 2018

really a very informative course for beginners!!

创建者 Akshay V

Jul 17, 2017

The Course was Awesome. It enhanced and enriched my knowledge and was overall fruitful in learning the nuances of Big Data.

创建者 Jitender S V

Jun 21, 2017

GREAT COURSE!!

创建者 YEVHEN K

Jan 16, 2018

I like it!

创建者 Selim S

Nov 02, 2016

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

创建者 Pankaj G

Dec 19, 2017

Good course, fairly detailed.

创建者 Ben W

Nov 11, 2016

Excellent

创建者 Hamada I M

May 19, 2017

very good

创建者 andrehmerli

Nov 06, 2016

The course gives an extensive overview of the topic. I have particularly appreciated the hands on section.

My recommendation to all the students is to not overlook the hands on and create some personal notes and code archive to quickly review those topics.

Some particular good learning for myself: lucene. I have used lucene at work both directly and wrapped within elastic search: in both cases I was not going deep in understanding the data model behind lucene and concepts like similarity. You can leave like that in the vast majority of the current jobs where lucene is a third party system invoked upon needs but understanding the model behind was simply much more easy than I expected.

创建者 Mohamed F

Mar 14, 2017

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

创建者 Fernando M

Apr 20, 2017

Excellent course, clear explanations and attention to details.

创建者 ROHIT S

Oct 04, 2016

Course is very much intresting and i learnt so many new things.

创建者 Mars W

Feb 23, 2017

good course

创建者 Lola B

Oct 10, 2017

Provides a got exposure to major big data management concepts.

创建者 Ferry W

Jul 02, 2018

easy to understand and helpful

创建者 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.

创建者 Rozina S

May 14, 2018

Thank you Coursera for your help and support.