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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
2,679 évaluations
445 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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76 - 100 sur 434 Avis pour Big Data Modeling and Management Systems

par Fabio P

Dec 07, 2017

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

par Juan H B S

May 26, 2018

Difficult topic, but interesting and the explanations were clear.

par Prachi J

Dec 07, 2017

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

par King W N

Nov 27, 2017

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

par agentVargas2012R

Nov 01, 2017

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

par Jose A B A

Oct 24, 2016

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

par ROHIT S

Oct 04, 2016

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

par Jairaj B

Aug 28, 2020

Very interesting and engaging course. I enjoyed it thoroughly.

par Ali A

Mar 01, 2018

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

par Lola B

Oct 10, 2017

Provides a got exposure to major big data management concepts.

par Fernando M

Apr 20, 2017

Excellent course, clear explanations and attention to details.

par ahamed s

Sep 10, 2020

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

par Juan C H

Mar 28, 2017

Excellent professors! Everyday was a new learning experience!

par Juan C M L

Sep 06, 2018

Precise and complete approach to the data modeling subject.

par Alibek M

Apr 01, 2020

Much more difficult than Intro part. Definitely recommend

par Linh N B

Sep 13, 2017

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

par JAMSHAID

Dec 28, 2017

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

par Alfonso A G

Oct 30, 2016

Really nice course learned much about MongoDB and Spark

par MEI W

Jan 03, 2020

Good introductory course of cloud and big data systems

par Francisco S H

Jun 18, 2019

Very good course, specially the last homework. Thanks.

par Vikas K S

Sep 28, 2018

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

par Sunil K S

Jul 24, 2017

excellent coverage of basic models and good hands on

par Clement F

Oct 10, 2017

Just what I needed. Thank you IIkay and Amarnath.

par Fernando G d L V

Aug 29, 2017

Great intro horizon to discover new technologies.

par Divya A P

Jul 08, 2018

Enjoyed the Learning experience. The Hands on Ex