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Learner Reviews & Feedback for Big Data Modeling and Management Systems by University of California San Diego

4.4
stars
2,996 ratings

About the Course

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+....

Top reviews

MP

Oct 16, 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 27, 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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326 - 350 of 509 Reviews for Big Data Modeling and Management Systems

By Apurva T

Feb 3, 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.

By Rudransh P

May 25, 2021

Overall, the course is good but the lectures get too boring sometimes when lecturers keep stating properties and stats continously without explaining the examples. This especially happens in Ilkay Ma'am's lectures.

By Xing Z

Jul 9, 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.

By PLN R

Mar 7, 2018

Pretty good course. The peer corrected assignment is avoidable. Instead, a little bit of programming may be introduced! The course becomes extremely boring due to only theoretical aspects and quizzes.

By David R D N

Nov 23, 2016

Pretty good overall, although some exercises are a bit difficult to understand from the descriptions and instructions given, some graphs and initial reference documentation for exercises might help

By Yaniv G

Oct 31, 2016

Overall relevant and clear presentations. Course material quite general, but I guess this is expected from an introductory-level course.

Peer-reviewed assignment's instructions can be clearer.

By 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.

By CHANDAN J

Feb 4, 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 ruben m

Oct 17, 2016

Interesting. Sometimes a little bit overwhelmed by a lot of information within a single video but it gives you an overview of what is big data modeling and management systems.

By Nicolas G

Sep 20, 2021

Should upgrade the tools, Cloudera VM even is possible to downloading, the vistual machine is not maiteinend any more by cloudera. the course is really good, but tools are no

By piaoyang

Mar 15, 2020

If you have the fundamental knowledge of database and json, the only valuable videos for you are in week 5. As it says in next course(course 3), the course 2 is not required.

By Vidal C

Sep 18, 2017

The course provided me a good understanding of the tools and insights on how data could be modeled and managed. I feel confident that I can use the knowledge at work.

By amol g

Oct 8, 2017

Lot of new information, excellent delivery. Given 4 as I feel real-use case flavor is inadequate -exercises could be more intensive, real case studies can be added.

By Priyadarshi V

Nov 19, 2019

The content is really good and informative. More hands-on would be helpful. Extending the tree structure problem in the pink flamingo exercise was bit confusing.

By Vitor L

Nov 19, 2018

Would have more extra papers/material to read. The hands-on would also bring some problems/challenges without resolution to let us try by ourself (with answers).

By Kamlesh K

Oct 27, 2019

Good Course! Explain a lot about the Modeling and Management System in Big Data. Also, give practical experience in Big Data Management and play around models

By 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.

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 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 michael d

May 11, 2018

labs could be improved. not all the python features were easily installed, if at all. A few more labs would have been nice to reinforce the points.

By Christoph R

Feb 12, 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 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 Nitesh T

Oct 11, 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 Sanskriti O

Jul 24, 2020

This course is really great for people who want to switch or gain knowledge about Big Data. This is 2/6 part and I am curious what lies ahead.

By Federico A G C

Sep 25, 2016

Very good material and overview. However, still a little bit too basic. Fundamental management systems hands on should be much more intensive.