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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
2,823 个评分
471 条评论

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 16, 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 27, 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:

101 - Big Data Modeling and Management Systems 的 125 个评论(共 460 个)

创建者 Tandy S

Sep 22, 2017

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

创建者 Suresh V

Apr 20, 2017

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

创建者 Vivek T

Jun 30, 2019

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

创建者 SANJEEVE K G

Dec 19, 2018

Thanks lot to Coursera

given me new life to me

I want to go further in this course

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 Sayed T S

Apr 13, 2017

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

创建者 Pablo A L Z

Jul 10, 2020

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

创建者 Siddharth G

Jul 19, 2020

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

创建者 igor s

Dec 18, 2016

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

创建者 Mandar T

Aug 16, 2020

Amazing course with very relevant content and great course delivery!

创建者 Kumar A

Oct 22, 2019

Well rounded course with theoretical discussion and hand-on sessions

创建者 Raunak S

Mar 14, 2018

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

创建者 juan

Jan 18, 2021

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

创建者 Laura R

Jul 29, 2020

Very interesting hand on training and useful teoretical information

创建者 Fabio P

Dec 7, 2017

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

创建者 Ing. J H B S

May 25, 2018

Difficult topic, but interesting and the explanations were clear.

创建者 Prachi J

Dec 7, 2017

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

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 agentVargas2012R

Nov 1, 2017

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

创建者 Jose A B A

Oct 24, 2016

The way for going through of material and classes is now better.

创建者 ROHIT S

Oct 3, 2016

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

创建者 Jairaj B

Aug 28, 2020

Very interesting and engaging course. I enjoyed it thoroughly.

创建者 Ali A

Feb 28, 2018

It was an informative course, contents of the course were good

创建者 Lola B

Oct 10, 2017

Provides a got exposure to major big data management concepts.

创建者 Fernando M

Apr 19, 2017

Excellent course, clear explanations and attention to details.