Best Practices for Deploying Alteryx Server on AWS
You can download a free trial of the Designer via the Alteryx Analytics Template Kit for AWS to learn about the ease of creating key analytics workflows on AWS using the Alteryx Platform.įigure 1 – Alteryx logical reference architecture.
Specifically, Alteryx Designer streamlines the analytics process by delivering repeatable workflows in a self-service manner. In addition, when combined with Alteryx Designer, Alteryx Server enables customers to quickly discover and connect to their data, enrich and blend it with other data sources, conduct advanced analytics, and share insights at scale across the enterprise.
The Alteryx Platform is a self-service data science and analytics platform that enables organizations to take full advantage of their data and analytics assets through a drag-and-drop interface that is both code-free and code-friendly. Other complications include the operations that ensure a company’s data is properly pulled, processed, transported, and visualized in ways that allow for meaningful analysis. These processes are complex, resource-intensive, expensive, and may require specialized skills that are notoriously in low supply, with gaps between IT, lines of business, and data scientists.Īlteryx, an AWS Partner Network (APN) Advanced Technology Partner with AWS Competencies in both Data & Analytics and Machine Learning, helps customers overcome these challenges through their Alteryx Platform.
The first complication is the actual collection and storage of data, which can come from on-premises, the cloud, various applications, and other sources. For many organizations, however, there are complicated processes that come into play before data can serve its true purpose, especially when massive amounts of data are involved.
By Claudine Morales, Partner Solutions Architect at AWSīy Paul Sears, Partner Solutions Architect at AWSĭata is at the nucleus of informed decision-making.