Tag: AWS Data Pipeline

While utilities have historically been rich with data from customers, programs, and assets, many organizations often manage data in siloes. Source data can also be disorganized, with deficiencies in defined quality assurance and quality control processes. Learn how utilities are successfully embracing Accenture’s data-led transformation (DLT) and leveraging accelerators powered by AWS to reach their business objectives and meet regulatory obligations.

Firms spend substantial efforts to identify and collect quality data streams from different sources. However, identifying and interpreting energy, water, or gas usage patterns and consumption types is sometimes insufficient. In this post, you’ll learn how Storm Reply, combining industry knowledge with its expertise in the development of data analytics platforms in AWS, can help customers in the design, development, and maintenance of secure serverless IoT big data platforms with a focus on sustainability.

Saint Louis University is at the cutting edge of research, studying human behavior and its economic impact. Learn how the Sinquefield Center for Applied Economic Research (SCAER) uses MontyCloud DAY2, a no-code autonomous CloudOps platform, to run an environment that’s fully automated and self-managed. MontyCloud also helps SCAER automate mounting and unmounting Amazon EBS volumes on demand when Amazon EC2 instances are provisioned.

Customers with IBM i and AIX environments are keen to accelerate their modernization with AWS. By reducing complexity or cost, customers can benefit from a low latency, hybrid solution that enables new use cases derived from the connectivity between managed IBM i/AIX and AWS. Connectria is an AWS Migration Competency Partner and audited MSP that provides a fully managed hosting service for IBM i and AIX systems.

Apache Hudi on Amazon EMR is an ideal solution for large-scale and near real-time applications that require incremental data pipelines and processing. This post provides a step-by-step method to perform a proof of concept for Apache Hudi on Amazon EMR. Learn how a non-customer-facing PoC solution from nClouds set up a new data and analytics platform using Apache Hudi on Amazon EMR and other managed services, including Amazon QuickSight for data visualization.

To gain the insights needed to fuel business growth, organizations need to collect more data and do more with it. That’s where a data lake can help—it’s a repository that holds a large amount of raw data in its native (structured or unstructured) format until that data is needed, enabling you to accommodate virtually any use case. Check out Cloudwick’s Data Lake Foundation on AWS Quick Start, and then drill down a bit deeper into the workings and value of the data catalog.