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Opiniones y comentarios de aprendices correspondientes a Big Data Modeling and Management Systems por parte de Universidad de California en San Diego

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2,748 calificaciones
457 reseña

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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+....

Principales reseñas

MP
16 de oct. de 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
27 de mar. de 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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251 - 275 de 446 revisiones para Big Data Modeling and Management Systems

por Putcha L N R

7 de mar. de 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.

por David R D N

23 de nov. de 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

por Yaniv G

31 de oct. de 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.

por Bhola N R

11 de oct. de 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.

por CHANDAN J

4 de feb. de 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.

por Ruben

17 de oct. de 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.

por piaoyang

15 de mar. de 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.

por Vidal A C L

18 de sep. de 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.

por Amol G

8 de oct. de 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.

por Priyadarshi V

19 de nov. de 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.

por Vítor L d S

19 de nov. de 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).

por Kamlesh K

27 de oct. de 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

por Ilya P

24 de ene. de 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.

por Irsan K

19 de jun. de 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.

por Narjes M

11 de sep. de 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

por mike d

11 de may. de 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.

por Christoph R

12 de feb. de 2018

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

por Robert S

27 de dic. de 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.

por Nitesh T

12 de oct. de 2016

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

por Sanskriti O

24 de jul. de 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.

por Federico A G C

25 de sep. de 2016

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

por Nicolas I

17 de nov. de 2016

Great course! Although I think it would be a good idea to have all the HANDS ON instructions downloadable as a PDF to keep in personal files.

por Martin O

21 de jul. de 2018

Troubles when it comes to the student reviwed tasks, sometimes the puntuation doesn't correspond and is very rare getting a right feedback .

por shreya k

15 de feb. de 2019

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

por Dixit R

18 de dic. de 2017

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