AWS Partner Network (APN) Blog
Category: Analytics
How hc1 Turns Lab Data into Personalized Health Insights Using AWS Serverless
Since 2011, hc1 has emerged as a bioinformatics leader in precision testing and prescribing. The hc1 platform built on AWS organizes live data, including lab results, genomics, and medications, to deliver solutions ensuring the right patient gets the right test and right prescription at the right time. Learn how hc1 ingests, organizes, and normalizes customer data to deliver analytics and improve operations management. As an outcome, customers use these insights to their fullest potential.
Discover, Prepare, and Integrate Data at Scale with AWS Glue Delivery Partners
We are pleased to announce the AWS Glue Delivery specialization to help customers find validated AWS Partners with expertise and proven success delivering AWS Glue for data integration, data pipeline, and data catalog use cases. The AWS Glue Delivery specialization recognizes AWS Partners who offer consulting services to help customers modernize their use of data and accelerate digital transformation.
Build Real-Time Streaming Analytics and Event-Driven Architecture with Amazon MSK Delivery Partners
The Amazon Managed Streaming for Apache Kafka (MSK) Delivery specialization makes it easy for customers find validated AWS Partners with proven success delivering migrations and building solutions on Amazon MSK. Amazon MSK Delivery Partners are proficient in expeditiously implementing Amazon MSK integrations with other AWS services to improve the scope and specificity of real-time analytics.
Operational Analytics with MongoDB Atlas and Amazon Redshift
Enterprises are building data analysis capabilities to extract information captured in data, develop an understanding of their business, and channel efforts towards customer centricity. This post explains the need for operational analytics and how it can be achieved with MongoDB Atlas and Amazon Redshift. MongoDB is an AWS Data and Analytics Competency Partner and developer data platform company empowering innovators to unleash the power of software and data.
Teradata Vantage Real-Time API Integration with Amazon SageMaker Endpoints
Teradata has expanded its collaboration with AWS by adding integration capabilities for Teradata Vantage, the data platform for enterprise analytics and AWS cloud services. Vantage, with its NOS read/write connector to Amazon S3 data, already provides data integration with S3 data and Vantage enterprise data. Now, Teradata introduces an API integration with Amazon SageMaker and Amazon Forecast. This enables business users to drive outcomes with real-time analytics.
How Provectus Built a High-Load Data Quality Pipeline on AWS for Lane Health
Provectus developed a comprehensive data quality assurance (Data QA) solution that it offers customers as a blueprint for assuring data quality. Learn how Provectus built a high-load data quality pipeline on AWS for Lane Health’s data platform, while meeting the requirements for rapid innovation, performance, security, and cost-efficiencyLane Health gained the ability to track if and when its data deteriorated during transformation and understand the quality of data, and to explore and detect weak spots in data.
How the AWS Executive Briefing Center Gets Real-Time Inventory and Asset Data with CloudRail and AWS IoT
Monitoring inventory status and counts across various locations is key to inventory management. Internet of Things (IoT) sensors allow organizations to view and maintain the supply levels they need, when and where they need them, and ensure they are stored properly along the way. Learn how the AWS Executive Briefing Center (EBC) in Seattle is using AWS IoT sensor technology, along with integrations from CloudRail, to proactively monitor meeting room beverage inventory.
Rapid Accelerators for SAP Business Content with the Atos AWS Data Lake Accelerator for SAP
Many SAP enterprise customers have deployed data lakes to optimize manufacturing outcomes, track business performance, improve forecast, and accelerate product lifecycle management. The initial process of data extraction involves bringing data from commercial off-the-shelf (COTS) applications and non-COTS applications. Learn how the Atos AWS Data Lake Accelerator for SAP helps customers build a scalable data lake for SAP systems such as SAP S4/HANA or SAP ECC.
How to Connect ThoughtSpot to Amazon Redshift Serverless
Once data is available in Amazon Redshift Serverless, businesses typically look at ways to turn data into business insights. This is where modern analytics providers such as ThoughtSpot provide value. With its powerful AI-based search, live visualizations, and developer tools and APIs for sharing embedded analytics, ThoughtSpot democratizes access to data by providing self-service tools for all users. Learn how to create a connection between Amazon Redshift Serverless and ThoughtSpot.
Setting Data in Motion at the Mobile Edge with AWS Wavelength and Confluent
One of the most exciting evolutions in cloud computing is the proliferation of hybrid cloud and edge computing services. Learn how the Confluent for AWS Wavelength solution was developed to bring Confluent’s data-in-motion technology to the network edge. We’ll demonstrate how the solution extends Confluent for Kubernetes (CFK) to Amazon EKS self-managed nodes in AWS Wavelength Zones to create a geo-distributed Kafka cluster at-scale for industrial IoT and low-latency 5G use cases.