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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
2,158 个评分
352 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:

101 - Big Data Modeling and Management Systems 的 125 个评论(共 342 个)

创建者 Sukanta M

Nov 15, 2017

I was looking for this type of course of BigData. I have spent hours to read through different blogs and articles. But couldn't get better idea/direction how to start or where to start. This is ideal course for getting started on Big Data. I enjoyed all the slides and hands on very much. Thank you.

创建者 agentVargas2012R

Nov 01, 2017

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

创建者 Pijush K G

Jun 03, 2018

Good course.

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 Francisco A

Jun 24, 2017

Excellent material, well explained

创建者 MOTHUKURI S K P

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.

创建者 Marcos

Apr 01, 2018

Useful to know fundamentals of BDMS.

创建者 Ajinkya B

Jun 10, 2018

Great Course

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 Santiago E L

Jan 04, 2018

You guys are rock stars

创建者 Hamada I M

May 19, 2017

very good

创建者 SKK

Dec 09, 2017

Very good starting point for Data Modeling!!

创建者 Luis M M R

Dec 22, 2017

very good!

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 Juan C M L

Sep 06, 2018

Precise and complete approach to the data modeling subject.

创建者 Luciano

Sep 05, 2018

This course is amazing!!! is helping me a lot in deepening my knowledge in data modeling and data architecture.

创建者 Chetan A

Sep 06, 2018

Gave great undestanding on the big data.

创建者 Jamiil T A

Sep 26, 2018

An interesting course on BDMS and DBMS you will real learn more about the velocity and volume aspect of the big data. Good luck !