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Avis et commentaires pour l'étudiant pour Big Data Modeling and Management Systems par Université de Californie à San Diego

4.4
2,184 notes
357 avis

À propos du cours

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+....

Meilleurs avis

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)

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151 - 175 sur 348 Examens pour Big Data Modeling and Management Systems

par Mohamad K

Aug 20, 2019

Its extremely an important course to understand the different between DBMS and BIG data and why DBMS changed to BDMS. Its also give nice intro to unstructured data process such images and graph Nodes. Study this course will remove many questions in your mind.

par Mohamed H A

Aug 25, 2019

Great thanks to the team worked the course.

par Novan Z

Aug 26, 2019

Easy and understandable

par Misty S

Aug 28, 2019

While the course content is very good, I feel this is not for beginners as one needs a basic knowledge of traditional relational databases for starters. The assignment helps clear the concepts and makes it understandable enough to work on it.

par Emilio M

May 27, 2019

very good performace of instructors

par Ali S

Sep 21, 2019

The course was great I learned basics of different big data visualizations. Sources of big data and different tools introduced which can be very helpful. The quizes and assignments helped me to better understand the course.

par Mohammad M

Sep 30, 2019

Big Data modeling is important consideration while designing big data solution. Most of other online courses lacks this module. Thanks to coursera for bringing this course. Five star.

par Kumar A

Oct 22, 2019

Well rounded course with theoretical discussion and hand-on sessions

par Jimmy F

Dec 11, 2018

I wanted to see more big data issues in the final test.

par shreya k

Feb 15, 2019

Really nice course. Had a chance to rediscover my data modelling skills. Surely looking forward to more courses in this specialization.

par Ilya P

Jan 24, 2019

Decent course, fair information. Although sometimes instructors seem to forget the audience they are talking to, so it is hard to power through some lectures.

par Andrea P

Jan 24, 2019

The final assignment is unclear in some passages, but it is a very good introduction to the modelling and management systems overall.

par Parinya H

Feb 28, 2019

Good content and recommend for modeling Big Data.

par Jorge d l C

Feb 11, 2019

Basic for database developers

par Apurva T

Feb 03, 2019

Course was very good, some concepts were a little tough to understand, like the graph network and other topics of first 3 weeks. But on the whole a very good course to understand basics of data modeling and management.

par Wayne S

Apr 06, 2019

This material in this course seems to be based on a belief that the student has significantly more knowledge than assumed for the first course in the Big Data series. Because of this unfounded assumption, without regard to explanation, I have marked it down to four stars vice the five for the first course.

I think by providing the student with an adequate background, or additional resources, this course could easily be ranked as a five-star course.

In short, for no apparent reason, it quickly becomes more difficult than the first course; and instead, I wish it had been more of a natural transition from the first course.

par Brian S

Apr 15, 2019

Expected more hands-on activities and more advanced tasks

par nchang

Mar 11, 2019

nice course ,assignments are well explained and are well organised

par Shuai M

Dec 23, 2018

good course to know different types of data models and some BDMS.

par Xing Z

Jul 09, 2018

The content is good overall, but the final project assignment is awful. It's not about whether the questions are too easy or too hard, it is the way in which the assignment is organized that seems confusing.

par Snehal B

Sep 08, 2018

I would rate it 4/5.

First 4 weeks, we can still relate and keep up to pace with context. But week 5 onwards it becomes difficult to understand. Please come up with more real life scenarios to explain different BDMS models.

par Oscar J M T

Sep 23, 2018

I enjoyed this course, the topics was more clear and deep in contrast with level 1.

par guarav y

Aug 26, 2018

Should have more and better explanations of various topic like vertica, astersikDB

par Devon E

Aug 10, 2018

Another excellent course.

The only thing I would have liked (and maybe this comes later in the upcoming courses) is for the course to take a look inside the python and Lucence scripts so that we could be talked through how these are actually processing the data with guidance.

par Bhola N R

Oct 11, 2018

It was a difficult module, although trainer tried to convey but seems it is more complex it took time for me to understand the concept and apply the same while doing my assignment.