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Big Data Modeling and Management Systems に戻る

カリフォルニア大学サンディエゴ校 による Big Data Modeling and Management Systems の受講者のレビューおよびフィードバック

4.4
2,157件の評価
352件のレビュー

コースについて

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+....

人気のレビュー

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)

フィルター:

Big Data Modeling and Management Systems: 176 - 200 / 341 レビュー

by Alireza A B

Aug 07, 2017

Lectures where good but some effort is needed to have more practical assignments

by Dennis N

May 19, 2017

I got excellent exposure to the various ways that big data is handled and structured and it was in detail as well. I highly recommend this course for anyone who is pursuing a career in being involved in the big data landscape.

by CHANDAN J

Feb 04, 2018

Great overview of a few databases and what they are good at. Would have liked actual hands-on like installing a database and demonstrating the key feature the database is good at.

by Remco W

Jul 30, 2017

Thx for this course. It helped me in preliminary understanding of the big data modelling world. Fascinating, and intriguing.

by Johannes V

Dec 10, 2017

All in all the course was very good as the first one. However it is not clear for me what I can do, if I feel myself unfairly graded by my peers at the Peer-Reviews. Furthermore it would be helpful, if the peers had to justify their grading by giving helpful comments to their grades. It is pretty discouraging doing the extra effort, when grading and receiving no constructive feedback at all. Therefore you should be able to challenge grading.

by Rita P

Aug 13, 2017

Informative course and video lectures, but final peer graded assignment was lacking clear instructions.

by Vinod S

Jan 19, 2018

Great course on concepts of Big data modelling.

Great opportunity to learn from 2 people who are actually working on Big data issues in the Live world.

The assignment in week 6 can be improved in terms of more objective questions and the spaces provided to write the answers.

by Christoph R

Feb 13, 2018

Well presented course providing a wide overview of methods, tools and techniques to collect, analyze, manage and visualize data in big data scenarios.

by Dixit R

Dec 18, 2017

Great coverage on data models, however the online scenario was little too extreme for me - esp. not coming gaming or digital background.

by Harshan J

Aug 02, 2017

Excellent intro to the subject. The instructors explain the material well. I deducted one star for the grading treatment of the Peer-Graded Assignment (Catch the Pink Flamingo). It's understood that there is no one "right" answer, but peers should be given a range of possible answers.

by SONJA A

Aug 20, 2017

I felt the assignment was a bit confusing, however, it was good to see how others responded to the same questions.

by Narjes M

Sep 11, 2017

some courses lacked a clear explanation. It would be better if the professor talked a bit slower in the videos and had there been more hands-on activities

by Robert S

Dec 27, 2017

Nice diversed lecture, only the slides could be more visually appealing and the maths involved could be deeper. Gives good overview on the subject.

by ahmedossama.201461

Apr 23, 2017

Tool !

by Fernando A S G

Jun 14, 2017

A clear introduction to some Big Data topics. Easy activities.

by Keith B

Jul 05, 2017

Good module.

by Don M

Oct 10, 2016

This course is a valuable introduction to Big Data Models and Management Systems for a variety of data types. The hands on exercises and company use case examples provide helpful context and application of the concepts. This knowledge also provides the learner with more confidence in navigating big data conversations in a professional environment.

by Vladimir A

Feb 02, 2017

Course is very good, and highly recommended.

More practice on this course will be appreciated

by Irsan K

Jun 19, 2017

Great course where I was introduced to lots of new technologies, would like to apply them in practice. Would be nice if there were more hands-on exercises.

by Nitesh T

Oct 12, 2016

The course was very informative. One suggestion would be to include more practical exercises as it would help in internalizing the concepts better.

by Koyel G

Jan 13, 2017

This course captures the overview of Big data modelling concept in a very simple way. I found this course very useful. Instructors are good to explain the concepts. Though it would be good to add one or two (add-on or optional hands on exercises) handson for graph and tree data modelling.

by Anis R

Dec 07, 2017

Informative course where are you are introduced to

Data Models

Semi Structured Data

Data Lake

Data Streaming

etc.

by Jyothi k

Mar 19, 2017

good cource

by KRISHNA T M

Nov 21, 2016

Assum lectures! Cant except better than that challenging assignments.

by Sreedhar K

Sep 22, 2017

The spread of the info is good but I think it could need a little more depth.