Ryan Womack, Data Librarian
Rutgers University
http://ryanwomack.com
twitter: @ryandata
https://github.com/ryandata/bigdata

Screencast version of workshop originally delivered at IASSIST (iassistdata.org) Annual Conference, June 2015.

Part 3 steps through accessing Amazon Web Services and launching a Hadoop cluster via Amazon Elastic Map Reduce (EMR).

This lab will walk you through how to launch an Amazon Elastic MapReduce (EMR) cluster using the AWS Management Console and run a job to analyze the words in the CIA World Factbook.

Evento de BEEVA junto a Amazon Web Services: “Convierte Big Data en Big Value”. 8 de junio 2015 en Campus BBVA.
“La nube como acelerador de las iniciativas Big Data” por José Luis Noriega, Director Comercial de BEEVA.

AGC of California hosted the Bay Area Construction Technology Forum on July 8 in Fremont, California. The “Tech Talks” Session of the event featured three guest speakers who offered best practice methods for integrating apps for the jobsite, virtual design and construction technology, and managing big data securely in the cloud.

In this session, Matthew Trescot ( Senior Solutions Architect with Amazon Web Services) talk about how to use the cloud to process large amounts of data.

For more information on Amazon Web Services visit http://aws.amazon.com/

This webinar will discuss big data challenges and provide an overview of the AWS Big Data Platform, and include a discussion of popular use cases and reference architectures.

Learning Objectives:
• How to leverage the AWS platform to manage massive volumes of data from a variety of sources while containing costs.
• Reference architectures for popular use cases, including: connected devices (IoT), log streaming, real-time intelligence, and analytics.
• Overview of the AWS big data portfolio of services, including Amazon S3, Kinesis, DynamoDB, AWS Lambda, Elastic MapReduce (EMR), Redshift and Amazon Machine Learning.