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Big Data Integration and Processing

University of California, San Diego via Coursera

students interested
At the end of the course, you will be able to:

*Retrieve data from example database and big data management systems
*Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications
*Identify when a big data problem needs data integration
*Execute simple big data integration and processing on Hadoop and Spark platforms

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+.

Taught by

Ilkay Altintas and Amarnath Gupta
Cost Free Online Course (Audit)
Subject Big Data
Provider Coursera
Language English
Certificates Paid Certificate Available
Calendar 6 weeks long
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Reviews for Coursera's Big Data Integration and Processing
4.5 Based on 2 reviews

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5.0 2 years ago
by Ericdo1810 partially completed this course, spending 12 hours a week on it and found the course difficulty to be medium.
I have beta tested this course. As a person who audited the previous versions of this series, I can compare and contrast.

My rating: this is probably the best course in both the new series and the old series. My background? As a data analyst (well, some calls me data scientist) working alongside a big data team, I am familiar with most of the Big data technologies.

When I beta test this course, I was expecting to see only a few technologies covered: for instance, Spark or SQL. To my amazement, this course covers a lot more technologies. The technologies are those that I've heard of, and awesome, there are also several other technologies that are new to me.

Not only it covers the technologies, but it also covers their different uses. For instance, for Spark, the course covers its use in Database, Streaming, Machine learning and Graphing. Wow! Just wow!

Besides the very rigorous coverage of technologies and their underlying concepts,…
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4.0 2 years ago
by Y. Nicodeme completed this course.
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