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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

4.4
étoiles
2,257 évaluations
369 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

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)

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226 - 250 sur 358 Avis pour Big Data Modeling and Management Systems

par sachin d

Jun 28, 2017

Very nice explanation of different data models and Big Data software applications.

par Alireza A B

Aug 07, 2017

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

par Sreedhar K

Sep 22, 2017

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

par HEMANT K D

Jul 12, 2019

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

par Chandrakanth B

Dec 11, 2019

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

par nchang

Mar 11, 2019

nice course ,assignments are well explained and are well organised

par KRISHNA T M

Nov 21, 2016

Assum lectures! Cant except better than that challenging assignments.

par Wentao Z

Aug 18, 2016

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

par Shuai M

Dec 23, 2018

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

par Cecilia T

Mar 27, 2018

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

par Javed A

Apr 24, 2019

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

par leila M

Aug 27, 2016

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

par Fernando A S G

Jun 14, 2017

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

par Muhammad N K

Feb 14, 2017

Best course on Various Big Data models and management systems.

par Brian S

Apr 15, 2019

Expected more hands-on activities and more advanced tasks

par Jimmy F

Dec 11, 2018

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

par Marco A G O

Sep 10, 2019

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

par Parinya H

Feb 28, 2019

Good content and recommend for modeling Big Data.

par Lukáš B

Dec 01, 2017

Too much abstract topic to perceive all things.

par Álvaro G C

Oct 31, 2016

So useful and focus on main basic aspects.

par Yogesh P

Mar 17, 2018

Good Course covering Modelling systems

par Piero T

Nov 23, 2016

Peer Assignment is not too clear

par Aman S

Aug 04, 2018

No practical approach for BDMS

par Jorge d l C

Feb 11, 2019

Basic for database developers

par Mehul P

Dec 31, 2017

Nice overview to get into it.