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Big Data Modeling and Management Systems

Big Data,

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+.

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Rating 4.0 based on 361 ratings
Length 7 weeks
Effort 6 weeks of study, 2-3 hours/week
Starts Jun 26 (46 weeks ago)
Cost $79
From University of California San Diego via Coursera
Instructors Ilkay Altintas, Amarnath Gupta
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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What people are saying

big data modeling

Very well defined course curriculum and easy to follow.All the different aspects of big data modeling has been well discussed and presented with examples.

It was an informative course, contents of the course were good Wonderful course i loved this course I'm not sure I got the topic Big Data Modeling and Management Systems from material of the course.

The big data modeling part of the course was excellent in my opinion because it contained both theory and practice.

Sometimes a little bit overwhelmed by a lot of information within a single video but it gives you an overview of what is big data modeling and management systems.

Excellent course, many fundamental concepts of big data modeling are discussed in a simple and clear way.

There is no enough practice, for final exam it is impossible to understand what is right and what is wrong even when making peer-review Big Data modeling is important consideration while designing big data solution.

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management systems

However, the management systems were not covered adequately, with only one week in the course allocated to cover those topics.

I remember how a few management systems are called and what they're good for, but I wouldn't feel confident to perform any practical tasks with big data management systems after finishing this course.Still, I'd say it's worth taking the course if you want an overview of the most common big data models and management systems.

This course is a valuable introduction to Big Data Models and Management Systems for a variety of data types.

I propose enrich the course with exercises and hands on Great introduction to management systems.

Fundamental management systems hands on should be much more intensive.

good v Good Couese This is wonderful course that explains that provides insight in to Management systems and how big data can be leveraged.

peers unfamiliar with industry can't grade what they don' know) The final assignment is unclear in some passages, but it is a very good introduction to the modelling and management systems overall.

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peer review

This has been an excellent course helping me to learn the basics of Big data and its management Good ogeneric versight, the excercise of week 6 is not very well elaborated and the peer review instructions/scoring possibilities are not adequate (mostly all or nothing scoring).

The instructions are horrible, the peer reviewers are a joke (there are many people there with 0 experience with databases giving wrong feedback), and you don't get the answers for reviewing other people's works.

The course in itself is quite good, although there are many concepts presented in a few videos only.The bug flaw is the final peer review assignment.

I did not like the peer review assignment as I thought it was unclear and that the review process is very inconsistent.

That being said I have not liked peer review projects for any classes I have take on coursera so I would still recommend this class.

Peer review on week 6 assignment needs a rethink-this need some process of challenge where a mentor or instructor can intervene to correct faulty peer reviews Provides a got exposure to major big data management concepts.

The last peer review is really hard to do.

My only difficulty is with peer reviewed assignments.

Too much of theory does tend to make the course a little bit boring... peer review is not good for any assignment.unnecessary delay and of no use.

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graded assignment

However the peer graded assignment was a bit dissapointment.

The peer graded assignment is completely unclear on instructions .

Great Course Informative course and video lectures, but final peer graded assignment was lacking clear instructions.

I deducted one star for the grading treatment of the Peer-Graded Assignment (Catch the Pink Flamingo).

Week 6 Peer graded assignment instruction should be more detailed.

This is hardcore since we have not learned that yet... Peer-graded assignments are bad for multiple reasons.

best big data course Peer-graded assignment is very badly described.

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.

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hands on exercises

Bad course without many useful info well organized and precise hands on exercises that helped me to understand the subject in detail.

Though it would be good to add one or two (add-on or optional hands on exercises) handson for graph and tree data modelling.

The hands on exercises and company use case examples provide helpful context and application of the concepts.

I would have more hands on exercises for the final week, but it was a great course overall.

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high level

The course is very general and high level introduction.2.

At some points it goes very deep, for example with the vectors for a document, but with the rest stay at a very high level.

However, the course is extremely basic and does not go deep beyond the high level concepts.

Too high level.

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.

Material is very high level with very little practice examples.

It was useful but I was expecting more specific exercies and practices with state of the art tools, instead of only a very high level conceptual resume of the frameworks and data types.

Basic for database developers 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.

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little bit

Although I would like little bit more hands-on quizes.

Instead, a little bit of programming may be introduced!

However, still a little bit too basic.

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hands-on exercises

This course gives good introduction to data models and some hands-on exercises but it lacks in case of practical purpose and assignments.

The "Designing a Big Data Management System for an Online Game" questions where unclear, probably if we had had more hands-on exercises throughout we would not be as confused as gain confidence.

Would be nice if there were more hands-on exercises.

Many data models were introduced and the hands-on exercises were helpful in better understanding of the concepts.

Excellent introductory material The course could have mentioned technologies which are more into the market currently and also it would have been better if there were some hands-on exercises on them as well.

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my opinion

The assignment requirements are unclear and, in my opinion, teacher has not sufficiently explained the concepts required in order to straightforwardly perform it.

Homework's and Assignments are really harder than the course material it self, you need to go to other sources to keep up in my opinion... Great course to get you started in the world of Big Data Nice diversed lecture, only the slides could be more visually appealing and the maths involved could be deeper.

well explained

Excellent material, well explained The course is not structured well.

Final assignment is not well explained.

Excellent course nice course ,assignments are well explained and are well organised Very good lessons Good content and recommend for modeling Big Data.

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Volunteer Big Data Engineer $48k

Data Scientist - Big Data $68k

Big Data and AWS Data Lake $73k

Big Data Developer (Streaming Data) $77k

Big data developer with AWS $78k

Research Scientist Big Data $94k

Big Data Developer Consultant $98k

Big Data Engineer 6 $107k

Big data and ETL specialist $121k

Big Data Specialist $149k

Principal Big Data Architect $180k

Senior Big Data Sales $181k

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Rating 4.0 based on 361 ratings
Length 7 weeks
Effort 6 weeks of study, 2-3 hours/week
Starts Jun 26 (46 weeks ago)
Cost $79
From University of California San Diego via Coursera
Instructors Ilkay Altintas, Amarnath Gupta
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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