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Big Data Modeling and Management Systems, University of California San Diego

4.3
1,737 calificaciones
289 revisiones

Acerca de este Curso

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+....

Principales revisiones

por 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.

por 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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279 revisiones

por Jimmy Farfán

Dec 11, 2018

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

por Andrew Choo

Dec 11, 2018

Level of content between week four and five is vastly gapped. Too big of a jump. No explanation of BDMS and DBMS in between

por Tejprakash Uppu

Dec 10, 2018

course is well designed and structured.

por Duc Duong

Dec 10, 2018

Good content!

por Esteban Echavarría Collazos

Nov 30, 2018

I learnt a lot of things with this course, It doesn't matter we are at 2018, stills pretty asertive with the topics. :)

por Luis Alberto Ramirez

Nov 28, 2018

Excelente curso, falta un poco mas de uso práctico de las herramientas para manejo de Big Data.

por Vítor Luiz da Silva

Nov 19, 2018

Would have more extra papers/material to read. The hands-on would also bring some problems/challenges without resolution to let us try by ourself (with answers).

por Nick Barker

Nov 19, 2018

This is a good course to learn more about the big data environment and how things work within it.

por José Guerra de Andrade Lima Neto

Nov 16, 2018

Incredible

por Gustavo Ide Maciel

Nov 14, 2018

that was more difficult than last one, but its so important to take an overview about every think