Spark SQL - Big Data Integration and Processing

Link to this course:
https://click.linksynergy.com/deeplink?id=Gw/ETjJoU9M&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fbig-data-integration-processing
Spark SQL - Big Data Integration and Processing
Big Data Specialization
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+.
Big Data, Mongodb, Splunk, Apache Spark
Best course taking into account the first three. Good material, more in depth than the other ones. Very well explained. Useful to get a sense of various interesting topics and orientative.,As i am not familiar with the VM and its environment, I spent more time struggling with the VM paths, initialization even with the pre command sets than doing the computation of the data.

Spark SQL - Big Data Integration and Processing
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