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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
2,749 évaluations
457 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
16 oct. 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 mars 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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126 - 150 sur 446 Avis pour Big Data Modeling and Management Systems

par Francisco A

23 juin 2017

Excellent material, well explained

par Prof. B R J

3 sept. 2020

GREAT JOB DONE BY THE INSTRUCTOR

par Amit K M

6 oct. 2020

EXCELLENT COURSE CONTENTS......

par VIJAY M

18 janv. 2019

Great course, great Faculty....

par Jude O

24 oct. 2018

Excellent introductory material

par Stefan M

30 oct. 2017

Great course, easier to follow.

par Shivam s

20 sept. 2020

Amazing course in the coursera

par Fabio L

15 août 2020

Very good and relevant course!

par Ferry W

1 juil. 2018

easy to understand and helpful

par Pankaj G

19 déc. 2017

Good course, fairly detailed.

par RAGHAVENDRA R

30 mai 2020

Good I learnt big Data model

par Matías F

3 juil. 2017

Full content. Great Material

par Andrés F

10 oct. 2016

Good to understand Big Data.

par alexander r

4 oct. 2016

Thanks for the education! :)

par Sekhar T

22 nov. 2019

Great learning experience!

par Jayaweera M A C U A

20 août 2020

Very interesting course.

par Mrinal K R

9 juil. 2020

Very Interesting course.

par Adit M

8 févr. 2017

Very informative course.

par EKTA T

10 juin 2020

Content is mind blowing

par C R

3 juin 2020

learned lot, thank you.

par Novan Z

26 août 2019

Easy and understandable

par Santiago E L

4 janv. 2018

You guys are rock stars

par Anurup B

22 oct. 2017

Very Interesting Course

par Guillermo A A N

28 juin 2017

Well done and explained

par SEBASTIAN P C

19 oct. 2020

I enjoyed this course.