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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
2,760 évaluations
459 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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76 - 100 sur 449 Avis pour Big Data Modeling and Management Systems

par Raunak S

14 mars 2018

great course for those who wish to go beyond the basics of big data.

par Laura R

29 juil. 2020

Very interesting hand on training and useful teoretical information

par Fabio P

7 déc. 2017

Good course to be introduced in the big data modelling environment.

par Juan H B S

25 mai 2018

Difficult topic, but interesting and the explanations were clear.

par Prachi J

7 déc. 2017

It was a very practical and detailed course. Thank you very much.

par King W N

27 nov. 2017

The content and assignments I've found so far are pretty spot on.

par agentVargas2012R

1 nov. 2017

This course is amazing!! Amarath teaches this course like a boss.

par Jose A B A

24 oct. 2016

The way for going through of material and classes is now better.

par ROHIT S

3 oct. 2016

Course is very much intresting and i learnt so many new things.

par Jairaj B

28 août 2020

Very interesting and engaging course. I enjoyed it thoroughly.

par Ali A

28 févr. 2018

It was an informative course, contents of the course were good

par Lola B

10 oct. 2017

Provides a got exposure to major big data management concepts.

par Fernando M

19 avr. 2017

Excellent course, clear explanations and attention to details.

par ahamed s

10 sept. 2020

well designed course for the beginners in the big data field.

par Juan C H

27 mars 2017

Excellent professors! Everyday was a new learning experience!

par Juan C M L

6 sept. 2018

Precise and complete approach to the data modeling subject.

par S.Ramya

3 nov. 2020

It is very useful,and very interesting thank you soo much

par Alibek M

1 avr. 2020

Much more difficult than Intro part. Definitely recommend

par Linh N B

13 sept. 2017

This course has really good hands-on examples and detail.

par JAMSHAID

28 déc. 2017

Great course to get you started in the world of Big Data

par Alfonso A G

30 oct. 2016

Really nice course learned much about MongoDB and Spark

par MEI W

3 janv. 2020

Good introductory course of cloud and big data systems

par Francisco S H

18 juin 2019

Very good course, specially the last homework. Thanks.

par Vikas K S

28 sept. 2018

I liked the course. Everything was good at its part.

par Sunil K S

23 juil. 2017

excellent coverage of basic models and good hands on