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Retour à Big Data Modeling and Management Systems

Big Data Modeling and Management Systems, Université de Californie à San Diego

4.3
1,840 notes
307 avis

À propos de ce 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

par 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.

par 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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296 avis

par shreya karan

Feb 15, 2019

Really nice course. Had a chance to rediscover my data modelling skills. Surely looking forward to more courses in this specialization.

par Jorge de la Cuesta

Feb 11, 2019

Basic for database developers

par Raivis Joksts

Feb 11, 2019

Some topics swing wildly from high level to very technical or in-depth math, which in my opinion is not needed, this is not a DB administrator course.

The hands-on exercises seemed loosely connected to the course topics. I would have liked to see practical tasks based on real-life problems and situations in big data applications.

The final graded assignment is for someone completely new to the concept of databases, and has no relation to big data, or tools used in big data, which is unfortunate.

par Enric Pascual Cebrian

Feb 08, 2019

I have found this course less attractive to follow than other Big Data courses

par Apurva TR

Feb 03, 2019

Course was very good, some concepts were a little tough to understand, like the graph network and other topics of first 3 weeks. But on the whole a very good course to understand basics of data modeling and management.

par Stanislav Dulko

Jan 24, 2019

Final task has numerous problems ranging from Coursera site formatting limitations that have not been accounted for to lack of master-answer to peers (e.g. peers unfamiliar with industry can't grade what they don' know)

par Andrea Possenti

Jan 24, 2019

The final assignment is unclear in some passages, but it is a very good introduction to the modelling and management systems overall.

par Ilya Panshenskov

Jan 24, 2019

Decent course, fair information. Although sometimes instructors seem to forget the audience they are talking to, so it is hard to power through some lectures.

par Lucas Alvarez Hamann

Jan 19, 2019

Too simple for a persona that's already in the BI industry

par VIJAY MOGREKAR

Jan 18, 2019

Great course, great Faculty....