Tag: Amazon Redshift

From a wide range of AWS Partner success stories to new partner programs launched at AWS re:Invent, here’s a look at the most popular APN Blog posts we shared in 2021. Our goal with this blog has always been to share timely and relevant news, technical solutions, partner stories, and more from Amazon Web Services and the AWS Partner Network (APN) specifically. Thank you for reading the APN Blog, and Happy New Year to all our AWS Partners and customers!

Customer experience is at its best when a customer perceives the experience offered is unique and aligns to their preferences. The need to engage, at a very personal level, becomes key. Learn how Capgemini’s data and analytics practice implements customer intelligence platforms on AWS to help companies build a unified data hub. This enables customer data to be converted into insights that can be used for reporting and building AI/ML predictive analytics capabilities.

In early August, millions of people took part in the 2021 Census across Australia, providing a comprehensive picture of the country’s economic, social, and cultural makeup. The Australian Bureau of Statistics (ABS) ran the 2021 Census on AWS using an operational insights platform built in partnership with AWS Professional Services, Shine Solutions, ARQ Group, and the ABS. Learn how this tool provided near real-time insights into a very complex logistical activity.

Group insurance companies need to provide higher service levels to their stakeholders—employers, employees, brokers, other ecosystem partners, and their own insurance personnel—to remain competitive. Using Vitech’s V3locity Application Service allows group insurance companies to exceed the necessary service levels (short-term and long-term) while offloading the management of the associated application and infrastructure services to Vitech, through its collaboration with AWS.

AWS and IBM recently announced that IBM Cloud Pak for Data, a unified platform for data and AI, has been made available on AWS Marketplace. You can easily test, subscribe to, and deploy the Cloud Pak for Data platform on AWS. By running on Red Hat OpenShift and being integrated with AWS services, the platform simplifies data access, automates data discovery and curation, and safeguards sensitive information by automating policy enforcement for all users in your organization.

In a recent customer engagement, Quantiphi developed a serverless, fully-managed connected vehicle platform that enabled real-time analytics on telematics data for one of the world’s leading car-as-a-service companies. Learn about IoT-based telematics solutions that are transforming the fleet management industry and explore how Quantiphi helped a U.S.-based fleet management organization make better decisions and improve customer and asset service.

AWS is enabling a new era of data and analytics, fueled by the cloud, advanced data management, and data science tools. Explore how organizations can leverage automation and modern access control models to scale cloud adoption, accelerate time to access data, and decrease risk. With Immuta, organizations can finally unlock the full value of their data while improving productivity, reducing time to data, maintaining strong security, and enabling new data sharing use cases.

Esri and AWS are extending their collaboration through an extensive integration of product suites and services. This includes Amazon QuickSight leveraging Esri basemap tiles through Amazon Location Service. Esri also supports ArcGIS Enterprise on Kubernetes running with Amazon EKS, and interoperability with Amazon Redshift. Esri‘s GIS solutions create, manage, analyze, and map various types of geospatial data. Their flagship GIS mapping software, ArcGIS, is a powerful mapping and spatial analytics technology.

Enterprise data warehouses are complex and consist of database objects that need to be modified to reflect the changing needs of business, data analytics, and machine learning teams. In this post, learn about an approach to managing the evolution of enterprise-scale data warehouses based on the experience of Deloitte’s Data and AI global practice teams. The declarative tool developed by Deloitte that can automatically generate DDL statements to align Amazon Redshift’s state to an approved baseline configuration.

Building effective machine learning models requires storing and managing historical data, but conventional databases can quickly become a nightmare to regulate. Queries start taking too long, for example, slowing down business decisions. Learn how to use Amazon Redshift ML and Query Editor V2 to create, train, and apply ML models to predict diabetes cases for a sample diabetes dataset. You can follow a similar approach to address other use cases such as customer churn prediction and fraud detection.