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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
2,420 个评分
392 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 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 384 个)

创建者 Luis A R

Nov 28, 2018

Excelente curso, falta un poco mas de uso práctico de las herramientas para manejo de Big Data.

创建者 Sourav K C

May 03, 2018

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

创建者 DONGMO M

Aug 08, 2017

Very useful course.

Needed only one week to finish the course even though I'm working full time.

创建者 Savitha R

Sep 15, 2018

Bit tough concepts. The concepts get evaporated in sometime. Still trying to hold onto it :).

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 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 Diogo M

Jul 22, 2019

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

创建者 S. M Y I

Mar 23, 2020

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

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 igor s

Dec 18, 2016

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

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 Fabio P

Dec 07, 2017

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

创建者 Juan H B S

May 26, 2018

Difficult topic, but interesting and the explanations were clear.

创建者 Prachi J

Dec 07, 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 01, 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 04, 2016

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

创建者 Ali A

Mar 01, 2018

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