Introduction to Apache Spark and AWS
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Learn to analyze big data using Apache Spark's distributed computing framework. In a series of focused, practical tasks, you will start by launching a spark cluster on Amazon's EC2 cloud computing platform. As you progress to working with real data, you will gain exposure to a variety of useful tools, including RDFlib and SPARQL. The practical tasks on this course make use of the Gutenberg Project data - the world's largest open collection of ebooks. This offers no end of opportunity for highly engaging and novel analyses. As the taught material and example code is given in Python, it is strongly recommended that all students have previous Python programming experience. Furthermore, launching and interacting with a cluster on EC2 requires basic knowledge of Unix command line, and some experience with a command-line editor such as vim or nano would also be advantageous. With these minimal prerequisites, this course is designed to get you up and running in Spark as quickly and painlessly as possible, so that by the end, you will be comfortable and competent enough to start engineering your own big data solutions.
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| Rating | 2.6★ based on 14 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 3-6 hours/week |
| Starts | Aug 27 (296 weeks ago) |
| Cost | $49 |
| From | University of London via Coursera |
| Instructors | Dr Sorrel Harriet, Christophe Rhodes |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Engineering Science |
| Tags | Data Science Data Analysis Physical Science And Engineering Research Methods |
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What people are saying
most video discussions can
Most video discussions can be cover with short lecture notes that can show precise commands, output and etc.
can show precise commands
teaching ive experienced .the
This seems to be the worst teaching Ive experienced .The good thing is i never pay for cousera courses unless I find them educative, so i didn't loose anything but time.
gave 1 point less
On two occasion I felt peers in my class did not follow the rubric to grade my assignment and gave 1 point less.
get an o'reilly book.sorry
Get an O'Reilly book.Sorry, UoL, I appreciate the effort, but Coursera isnt about putting yourself on the map with a MOOC, it is about asking yourself "what does someone following my course take from it?"
ends up searching high
The user ends up searching high and low just to set up and semi-stable environment.
frankly an *autistic* course.no
This is frankly an *autistic* course.No regard for the needs and average technical level of the audience, COMPLETE DISCONNECT between the teaching staff and the proclaimed objective of the course, very poor delivery of the content.If you want to spend a couple of weeks debugging because the instructions are virtually non-existent, or mixed, for various versions of Spark or Python, trying to make sense of misleading cues in the lectures and riding a very steep curve with Spark on EC2 almost alone, go ahead.I only completed the course because I don't like to leave stuff unfinished.
go ahead.i only completed
complete disconnect between
too basic operations
Too basic operations on the Spark, EC2 and S3.
architecture deployment options
Some outdated components It will be much easier to pick up the course materials if started with a brief introduction on Spark architecture deployment options.
average technical level
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Volunteer Big Data Engineer $48k
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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 | 2.6★ based on 14 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 3-6 hours/week |
| Starts | Aug 27 (296 weeks ago) |
| Cost | $49 |
| From | University of London via Coursera |
| Instructors | Dr Sorrel Harriet, Christophe Rhodes |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Engineering Science |
| Tags | Data Science Data Analysis Physical Science And Engineering Research Methods |
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