Big Data Integration and Processing
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Rating | 3.9★ based on 333 ratings |
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Length | 7 weeks |
Starts | Jul 3 (42 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 integration
Its provide good platform for you to explore and do projects in spark and mongodb A kick start for Big Data Integration and processing.Thanks to my faculty for this wonderful course.
I learn both the basic ideas on the big data integration and processing, and the useful tools, like Spark, MongoDB, etc.
The final week was demanding and fleshed out concepts It was a very helpful course in understanding of the Big Data Integration and Processing.
So, in general, the course provides you with significant knowledge about big data integration processing, however there were simple exercises that could be done faster if there were no problems executing the commands.
Awesome I found this quite beneficial for me, as it provide all the relevant knowledge that is required to know all about Big Data Integration and Processing.
I loved it and invite you to try it, not only it is really hands on but you would have a taste of what is Big Data Integration and Processing.
Very nice course, it gives a new and good knowledge about Big Data Integration and Processing beautiful Very useful course.
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hands on exercises
the explanation for the hands on exercises are poor.
I enjoyed the course content, as well as the hands on exercises/quizzes.Thank you!
easy to understand and great hands on exercises.
But faced lots of issues during practicing the hands on exercises and did not get proper feedback or response on any of the queries.
instalation for pyspark is not working properly Amazing part of the specialization where first time interacted with spark and mongodb, great tech This course focuses entirely on theory and there are very few hands on exercises .
This course was very informative and provided some very good hands on exercises Too many software issues/installation bugs hampering the learning process.
An excellent overview of the subject that combines a strong theorical approach with very interesting and complete hands on exercises.I recommend the whole specialization.
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final project
Excellent final project.
Only the exercises are redeeming in giving some useful, hands-on experience with some applications but then the final project required extensive googling to figure out how to work with pyspark dataframes that weren't taught in the course.
If you do then the simplest Jupyter exercise it fails - this took me about 10 hours to figure out.Then for the final Project, technically to succeed you must miss country names in all lower case and you cannot match with countries with a 'space' e.g.
The final project is a bit tough but worth it.
The course is ok until the final project which is totally not compatible with the level of the hands on during the course ,the final project is a mess Useful course.
The final project makes a good job on making you apply a Big Data Processing Pipeline to solve a common task these days with SparkSQL: analyzing data on social media.
Great Teachers and great course that course had alot of technical training , i enjoyed every bit of it , specialy the final project , it gave you a little guidance with more space for you to develop more I did liked the subjects on this course!
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apache spark
More Hands on experience should be included.Reading of Apache Spark documentation should be made mandatory for beginners.
Would expect more fro Coursera on Apache Spark and NOSQL database courses Fantastic Course I some issues with installation of the right versions for assignments etc.
Excellent course design, it gives you basic of MongoDB, Splunk and Apache Spark.
The assignments including mongodb and apache spark are worth doing.
This is a very descent to understand MongoDB and Apache Spark.
The course is introductory level, and I recommend this course to people who have not used MongoDB and Apache Spark.
I have a much better grasp of Apache Spark and its role in big data processing and integration as a result of this course.
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about big
I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11)I did this specialization to get new knowledge about Big Data and better understand the technology and your practical applications.
I learnt a lot of stuff about Big Data processing in a simple and clear way.
I learned quite a bit about Big Data problems and the varioius technologies, especially Spark, that you can use for those problems Assigments would be more complexity but for a beginner they are enough to understand framework.
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setup instructions
Good material and challenging assignments, but too many technical issues with setup instructions and spark context.
A lot of participants have had problems running shell scripts and other setup instructions that are necessary to perform some tasks, and their posts have been ignored.
My only significant complaint (and why I rated 4 stars vs. 5) is that the setup instructions for the environment needed for the hands-on exercises needs to be updated.
but it would be highly appreciated and would bring more potential students to this course if the setup instructions where more clear and right on the issue.
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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 | 3.9★ based on 333 ratings |
---|---|
Length | 7 weeks |
Starts | Jul 3 (42 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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