Big Data on Amazon Web Services

This course contains an overview and demonstration of numerous components in the Amazon Web Services (AWS) Big Data Stack.
Course info
Rating
(157)
Level
Intermediate
Updated
January 30, 2015
Duration
3h 54m
Table of contents
Introduction
16m 47s
Overview
11m 30s
DynamoDB
30m 25s
Redshift
26m 35s
Data Pipeline
29m 21s
Jaspersoft
23m 2s
Epilogue
9m 38s
Description
Course info
Rating
(157)
Level
Intermediate
Updated
January 30, 2015
Duration
3h 54m
Description

This course provides a tour through Amazon Web Services' (AWS) Big Data stack components, namely DynamoDB, Elastic MapReduce (EMR), Redshift, Data Pipeline, and Jaspersoft BI on AWS. AWS Kinesis is also discussed. All steps for creating an AWS account, setting up a security key pair and working with AWS Simple Storage Service (S3) are covered as well. Numerous demos are provided, demonstrating interaction through AWS components via Web browser user interfaces, command line, and desktop tools.

About the author
About the author

Andrew Brust is Senior Director of Technical Product Marketing and Evangelism at Datameer, and writes about Big Data for the technology news site, ZDNet. Andrew is the co-author of "Programming Microsoft SQL Server 2012" (Microsoft Press); an advisor to NYTECH, the New York Technology Council; serves as Microsoft Regional Director and MVP; writes the Redmond Review column for VisualStudioMagazine.com; and serves as co-chair of the Visual Studio Live! developer conference.

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