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Introduction to Big Data

Big Data,

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. 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. 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. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.

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Rating 4.4 based on 1,360 ratings
Length 4 weeks
Effort 3 weeks of study, 5-6 hours/week
Starts Jul 3 (42 weeks ago)
Cost $59
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

basics of big data

nice course for those who wish to get started with the basics of big data, map-reduce and hadoop.

Great and easy way to understand the basics of Big Data and it's relevance in solving modern world problems Very awesome training!

Now i'm more confident with the basics of big data This course gives the student an amazing exposure to the world of Big Data and in a very understandable way creates the concepts.

Very good for understand the foundation and basics of big data An excellent introductory course on Big Data addressing its application in current and practical subjects, with a good method of evaluation besides providing the necessary tools to apply all the theoretical content in practice.

It was a very informative experience on basics of big data management.

This course is really helpful for understanding the basics of Big Data.

Great introductory course teaching the basics of Big Data and having some hands-on applications to work with.

Thanks to this course I learned the basics of Big Data and looking forward to take the other courses.

good content and good insatractor the course is great except for the peer graded assignments it should be done by instructors for more trust , in addition if i finished my course earlier than the deadline why i should wait , all that time to get my certificate , which is really a very bad point in a great course , this course is awesome in total except for that bad point It was awesome, the basics of Big Data was explained in this course is supper!

This course has really helped me to know the basics of Big Data.

Detailed explanations in the basics of Big Data!

Nice course but if programming part for map reduce was there it would be much better Introduction To Big DATA is a very nice course for those who want to learn the basics of Big Data and are interested in Data Science domain.

I love coursera It clarifies the basics of Big Data and Data science concepts.

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looking forward

I'm eagerly looking forward to the rest of the courses in the specialisation.

Looking forward to more in the Specialization!

and not in concepts It was a very nice introductory course, and I'm looking forward to the future modules!

Looking forward for the upcoming courses.

I think this course was a great introduction the data science.. but needs some updating in terms of instantiation of the Cloudera image.. Docker was a much cleaner way for me to get up and running with the image.Also this course was mostly about the methods of Data Science, not necessarily about big data.. but a great foundation has been laid and still looking forward to more coding with hadoop in future courses.

This being my course from coursera I'm looking forward to do more course here.

Looking forward to the next course.

I found it very interesting and looking forward to continuing the big data journey.

Looking forward to the next set of courses to explore Big Data in detail.

The entire course was nicely planned and looking forward for the next modules It was an outstanding experience.

Looking forward to finishing all the courses and starting implementing Big Data in my career.

The Basics are strong now and looking forward to understand the in-depth concepts Great course for Big Data curios people..Worth learning.. A little slow to start, but probably good to understand the whole picture.

Looking forward to the next few modules.

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easy to follow

The hands-on are very easy to follow.

Excellent course material, simple, lucid and easy to follow structure, contextual examples - all this is worth making the Intro to B Great big data introduction course .

It was very easy to follow.

It was very detailed and easy to follow.

Simple introduction, easy to follow.

Content is generally easy to follow.

It is very easy to follow the course.

the difficult level is just nice and easy to follow up and finish This Course is basic of Big Data Analysis and instructor done very well.

Just enjoy Very good as introduction This is a very good introduction to Big data Quite good conceptual introduction to Big Data Interesting, understandable, easy to follow and interactive.

The lectures were so clearly explained and easy to follow, even if you are not english (my case).

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map reduce

Sometimes it needs to be more in depth for example about running map reduce jobs.

There, the file path to map reduce was different from the example you proviided.

Would love to have more practical hands on exersizes and examples of map reduce.

Part with Map reduce is just slightly touched, not explained in details, without examples.

Map Reduce hands-on assignment does not have very clear instructions, should be improved for future sessions.

the peer reviewed project is a welcome addition to help understanding map reduce concepts A good introduction, looking forward to the rest of the specialization.

It provides essential fundamentals for big data, Hadoop and map reduce applications.

I now have a hold on various Big Data terms and basic understanding of Big Data Hadoop map reduce programming.

It was thought-provoking and practical enough to run 'Map Reduce' samples on VM!

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really enjoyed the course

I really enjoyed the course and learned a lot but contents could be much better.

I really enjoyed the course and I hope to start using this knowledge and put in practice what I've learned as soon as possible.Probably I'll do the next course also.

I really enjoyed the course, the classes are very well structured and the instructors have excellent teaching methods.

Suitable for beginners who wish to pursue a carrier in Big Data analytics(or Engineer) I really enjoyed the course.

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real life examples

I loved this courses real life examples of the materials being discussed.

Very Good introduction to Big Data Concepts using real life examples and problems Best course to get started with Big data.

Very understandable content and very well explained - concepts of Big Data tied to real life examples were excellent.

The real life examples were good to understand and correlate with topics.

This is the very good session where the trainers have been explain each and every aspect of BigData with real time and real life examples.

Ok if you have really no idea what is big data or the concept behind explained through simple and clear words with lots of real life examples which helped to understand the impact of big data in real life.

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hands on experience

Happy to be in th I loved the hands on experience with running the hadoop on my laptop using VM.

too broad of explanations the course is very useful to whom start their career in big data Excellent experience, It took time to complete the assignments with hands on experience as i had issues with Dual & Quad core processors.

With hands on experience.

A BIG start with Big Data by understanding fundamentals and hands on experience with hadoop.

This is absolutely a hands on experience.

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more practical exercises

I liked very much, but I believe you can add more practical exercises.

However, it could include more practical exercises or quiz to continuously learn and evaluate the student.

I would have enjoyed more practical exercises instead of mainly theory videos.

This would be purely useful to beginners who would like to start the course from scratch Include more practical exercises per chapter, the student must wait until the end of the course for some on-hand laboratories.

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ilkay altintas

Ilkay Altintas, who is the main lecturer, is a sweet woman, but lecturing from a manuscript is not her strongest side.

high level

If you are looking to get very high level overview then its ok, but you will not learn much handon on big data with this course.

Very good introduction to big data with both a high level perspective, with strategic considerations to more practical stuffs.Hadoop introduction is good.

learnt the high level overview of the course.

too philosophical Great High level introduction.

Everything at high level, people have to imagine things to really understand what is being said.

Ideal para iniciar to many high level concepts but lack of real examples Very good course!

It seems like you can make any high level decision making by using this technique, no longer need experience.

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virtual machine

Just had a little problem in starting the cloudera virtual machine by following the given steps in the course .

Excellent Introduction to Big Data, good examples and last part of Cloudera virtual machine excercise was excellent.

The examples and the Virtual Machine was so helpful to understand how hadoop works.Thanks a lot... a fantastic course... thanks true.

I had issue to configure virtual machine .

Excelent course This is an excellent introductory course on Big Data in general and introduce to basic usage of Hadoop using Cloudera on a virtual machine.

Virtual Machine is not working properly Excellent learning, Keep it up please Excelente curso, muy explicativo los vídeos y de gran utilidad el material suministrado.

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amarnath gupta

I am very grateful to Dr.Ilkay Altintas and Dr.Amarnath Gupta.

Thank you Ilkay Altintas madam and Amarnath Gupta sir.

Extremely basic intro, not valuable if you have any understanding of the the space excellent course, very easy to understand, Hats off to Madam Ilkay Altintas and Sir Amarnath Gupta for explaining the big data concepts in such a simple way .

i this is excellent for introduction to big data i have starting skills that required big data engineers Like to thank Ilkay Altintas and Amarnath Gupta.

Thank you Ilkay Altintas & Amarnath Gupta who are the instructors in this course.

Thanks to Ilkay Altintas and Amarnath Gupta for their clear cut explanations and also my reviewers for my assignments .

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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 4.4 based on 1,360 ratings
Length 4 weeks
Effort 3 weeks of study, 5-6 hours/week
Starts Jul 3 (42 weeks ago)
Cost $59
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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