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Volver a Big Data Modeling and Management Systems

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

4.4
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2,757 calificaciones
458 reseña

Acerca del Curso

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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301 - 325 de 448 revisiones para Big Data Modeling and Management Systems

por Sreedhar K

22 de sep. de 2017

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

por HEMANT K D

12 de jul. de 2019

peer review is not good for any assignment.unnecessary delay and of no use.

por Chandrakanth B

11 de dic. de 2019

I could able to learn how big data is helping in modeling and nanagement

por RAHUL V

6 de jul. de 2020

The course is fine but the accent of tutor is difficult to understand

por nchang

11 de mar. de 2019

nice course ,assignments are well explained and are well organised

por KRISHNA T M

21 de nov. de 2016

Assum lectures! Cant except better than that challenging assignments.

por Wentao Z

18 de ago. de 2016

Not too much useful and practical knowledge. full of basic concepts

por Shuai M

23 de dic. de 2018

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

por Cecilia T

27 de mar. de 2018

Great course! I got a very good general idea/concepts about BDMS

por Javed A

23 de abr. de 2019

Very good Instructors. I have learnt a lot. Thanks to COURSERA.

por leila M

27 de ago. de 2016

it was nice but a bit complicated for beginner though i like it

por Fernando A S G

14 de jun. de 2017

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

por Muhammad N K

14 de feb. de 2017

Best course on Various Big Data models and management systems.

por Brian S

14 de abr. de 2019

Expected more hands-on activities and more advanced tasks

por Jimmy F

11 de dic. de 2018

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

por Marco A G O

10 de sep. de 2019

More focus on theory than practice, but a nice course.

por Parinya H

28 de feb. de 2019

Good content and recommend for modeling Big Data.

por Lukáš B

1 de dic. de 2017

Too much abstract topic to perceive all things.

por Álvaro G C

31 de oct. de 2016

So useful and focus on main basic aspects.

por Pradhyumn A

23 de may. de 2020

word-choice should have been better...

por Yogesh P

17 de mar. de 2018

Good Course covering Modelling systems

por Piero T

23 de nov. de 2016

Peer Assignment is not too clear

por Aman S

4 de ago. de 2018

No practical approach for BDMS

por Jorge d l C

11 de feb. de 2019

Basic for database developers

por Mehul P

30 de dic. de 2017

Nice overview to get into it.