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Retour à Big Data Modeling and Management Systems

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

2,712 évaluations
451 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


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.


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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176 - 200 sur 440 Avis pour Big Data Modeling and Management Systems

par Andres H

Aug 03, 2019

Great Course

par Ajinkya B

Jun 10, 2018

Great Course

par Pijush K G

Jun 03, 2018

Good course.

par Enrique A

Aug 16, 2017

Great Course

par Damien G P

Dec 08, 2016

Good Course!

par Samir G

Nov 21, 2016

Very helpful

par Thuong D H

Sep 23, 2016

Good course!

par Bud P

Sep 21, 2020

very useful

par Khue N N

Jun 30, 2020

Good course

par Abdo S

Jun 19, 2020

really good

par N. B R r

May 31, 2020

Best course

par Pasawat S

Jun 19, 2019

very useful

par kundan k

Apr 14, 2018

nice course

par mudit

Nov 18, 2017

good course

par Maria F O D

May 31, 2017


par Mars W

Feb 23, 2017

good course

par Мухамбетов Р А

Oct 19, 2016


par José G d A L N

Nov 16, 2018



Jan 16, 2018

I like it!

par Luis M M R

Dec 22, 2017

very good!

par An D

Mar 13, 2017

Thank you!

par Kamlesh C

Jul 12, 2020

Thank you

par Julian D O H

Jul 09, 2020



Jul 08, 2020



Jun 06, 2020