The AWS platform enables large enterprises to use data to solve business problems and uncover opportunities more easily and affordably than ever before. However, to truly take advantage of AWS, enterprises need a way to collect, store, process, analyze, and continually execute on their data.
Datapipe has been an AWS partner for more than five years. In that time, it has developed a proprietary process for the deployment of AWS environments, as well as the processing and evaluation of big data analytics to optimize these environments over time. This flexible solution includes automation tools, continuous monitoring, and cloud analytics. It protects against architectural sprawl and continually redesigns for scalability. This kind of continuous build environment allows Datapipe to examine the AWS environment as a complete picture and ensure the cloud environment is running as efficiently and effectively as possible, ultimately reducing overhead costs for the enterprise.
In this session, Jason Woodlee, Senior Director of Cloud Products at Datapipe, will discuss the technical details of designing and deploying a modern big data architecture on AWS, including application purpose and design, development environment and language overview, DevOps automation best practices, and continuous build and test frameworks. Session sponsored by Datapipe.
Publisher: Amazon Web Services
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