AWS data & analytics​

Leverage the range of storage choices on AWS including Redshift, S3, and Glacier. Store the right data, with the proper balance of retrievability and cost, and the correct, easily managed permissions to remove blockers and make data easily accessible to data experts within your organization.

Analysis of data approaching the petabyte scale often requires more computational capacity than a single machine can supply, no matter how well it’s provisioned. Utilize the wealth of data you have available using AWS tooling like EMR and Glue to funnel that data into clusters of easily configurable computing workflows. These distributed jobs inform business strategy in ways that wouldn’t be possible with traditional methods of analysis.

Use AWS services such as Amazon QuickSight to build clean, digestible visualizations from multiple feeds within an organization. These visualizations are used by employees from service staff to C-suite executives to immediately gain an up-to-date view of their data and act on it to deliver fast business outcomes. Enable early analysis of trends or changes that can then direct a more focused, rigorous analysis.

Employ real-time data to react instantly to business events with AWS technologies built around streaming data, from Firehose feeding data into storage as it arrives, to Kinesis allowing streams to be filtered and shaped so client applications only receive the data they care about.

Discover advanced trends in data or even automatically respond to business situations in time frames faster than a human possibly could with technologies like Sagemaker. Enable your organization to learn fast and grow in this space.