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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
2,953 évaluations

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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251 - 275 sur 498 Avis pour Big Data Modeling and Management Systems

par mudit

•

18 nov. 2017

good course

par Maria O

•

31 mai 2017

Excellent!!

par Mars W

•

23 févr. 2017

good course

par радмир М

•

19 oct. 2016

interesting

par Ke L

•

10 nov. 2021

Thank you!

par José G d A L N

•

16 nov. 2018

Incredible

par YEVHEN K

•

16 janv. 2018

I like it!

par Luis M M R

•

21 déc. 2017

very good!

par An D

•

12 mars 2017

Thank you!

par Abul B

•

14 avr. 2022

excellent

par Kamlesh C

•

12 juil. 2020

Thank you

par Julian D O H

•

8 juil. 2020

Excelent!

par VISHNU T B

•

8 juil. 2020

Excellent

par PRAVEEN S B

•

5 juin 2020

Excellent

par Dilara B

•

24 févr. 2019

thank you

par Jose R O

•

29 juin 2018

Very nIce

par Anup K M

•

22 avr. 2018

very good

par Edgar R E B

•

20 juin 2017

Excelent.

par Hamada I M

•

18 mai 2017

very good

par EDGARD M M

•

2 févr. 2017

muito bom

par Ben W

•

11 nov. 2016

Excellent

par B S

•

26 sept. 2016

Excellent

par Enrique G R

•

30 juin 2016

Very Good

par PALAK G

•

14 juil. 2020

Amazing!

par SURAJ P

•

18 juin 2020

good one

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