AWS re:Invent 2015: Datapipe McDonald's Presentation

AWS re:Invent 2015: Datapipe McDonald's Presentation


In a time when mobile digital media engagement is significantly higher at 51% than desktop (42%), restaurants are turning to innovative and interactive technologies to attract customers. With the goal to make the McDonald’s motto - “good food, fast” – applicable to the ever increasing number of always-on digital customers, McDonald’s turned to the cloud as a way to enhance flexibility and cut costs.

For the past year, Datapipe has been working with McDonald’s not only to take the burger chain’s existing legacy applications from a traditional managed services dedicated hosting data center model into the more flexible and scalable AWS environment, but also to develop the company’s first born-in-the-cloud mobile application. Datapipe’s AWS solution gives McDonald’s the flexibility to quickly spin up instances as demand increases and creates a standardized, repeatable process for deployment to markets around the globe. This flexibility – both geographically and within the infrastructure – gives McDonald’s a hyperscalable environment (with the added benefit of cost containment) to take the restaurant into the modern age of consumer engagement.

In this session, representatives from McDonald’s and Datapipe will discuss the ongoing process of moving an iconic global enterprise into the 21st century and will look in detail at the factors the company considered before moving to AWS, security concerns that needed to be addressed, and the long-term competitive advantage of utilizing the AWS environment.

Video Length: 30:25
Uploaded By: Datapipe
Published: 10/20/2015
View Count: 1,183

Related Software Products
DataPipe
DataPipe

Published By:
DataMystic

Description:
Search and replace inside databases. Fix garbage data, remove binary characters, change embedded UNC paths coded in your database. DataPipe interactively or automatically search/replaces data in ANY table. You can correct capitalization in people's names (a solution to the old problem), standardize formatting of addresses (eg PO Box, P.O. Box, POBOX), extract email addresses (for your next CRM campaign), search and replace using advanced pattern matching, fuzzy matching and sounds-like matching ...


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