Chevron Left
返回到 Big Data Modeling and Management Systems

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
2,176 个评分
356 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 345 个)

创建者 Enrique A

Aug 16, 2017

Great Course

创建者 sarsiz

May 13, 2017

I thoroughly enjoyed this course. The content was good and it definitely needs some changes. You should explain according to me in more detail about how using a particular method of data structure you can structure the data. The exercise was easy. And please add some more exercise so that learners need to work little harder to pass the quiz.

创建者 Pedro E D d C

Sep 24, 2016

Muy bien

创建者 Ерилин Н

Jun 09, 2017

Perfect

创建者 Lisbeth R S

May 05, 2017

great

创建者 Stefan M

Oct 30, 2017

Great course, easier to follow.

创建者 Carlos M P M

May 16, 2018

Simply, usefull and high valueable.

创建者 Anup K M

Apr 22, 2018

very good

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 Tandy S

Sep 22, 2017

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

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 Vikas G

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)

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 Francisco A

Jun 24, 2017

Excellent material, well explained

创建者 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

创建者 An D

Mar 13, 2017

Thank you!

创建者 Hans E

Oct 22, 2017

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

创建者 mudit

Nov 18, 2017

good course

创建者 Hamada I M

May 19, 2017

very good

创建者 Prasad G

Mar 18, 2017

Excellent course.

创建者 kundan k

Apr 14, 2018

nice course

创建者 Michel R

Nov 15, 2017

Perfect introduction.