AWS Partner Network (APN) Blog
Tag: Analytics
Empowering Enterprise Mainframe Workloads on AWS with Micro Focus
Large mainframes have challenging non-functional requirements in order to process large volumes of data and users for core-business workloads. Micro Focus Enterprise Server mainframe capabilities, combined with AWS global infrastructure, provide the quality of service required by large applications. With this solution, enterprises and public institutions deploy mainframe workloads on AWS with high security, high availability, elasticity, and robust system management.
Asset Tracking That Works Out of the Box from AWS IoT, Verizon, and Domo
Customers in various industries are seeking ways to track their assets and optimize operations. Understanding what’s happening to the asset practically anywhere along the supply chain, or at any point in time, can lead to real-time data insights and more informed decisions for the business. Learn about an asset tracking solution that Verizon and Domo developed with AWS IoT to help companies quickly and affordably get value from IoT asset tracking information.
How to Enable Mainframe Data Analytics on AWS Using Model9
Mainframe proprietary storage solutions such as VTLs hold valuable data locked in a platform with complex tools. This can lead to higher compute and storage costs, and make it harder to retain existing employees or train new ones. When mainframe data is stored in a cloud storage service, however, it can be accessed by a rich ecosystem of applications and analytics tools. Model9 enables mainframe customers to backup and archive directly to AWS.
Say Hello to 41 New AWS Competency, MSP, and Service Delivery Partners Added in September
We are excited to highlight 41 APN Partners that received new designations in August for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
How to Use Amazon Rekognition and Amazon Comprehend Medical to Get the Most Out of Medical Imaging Data in Research
Medical imaging is a key part of patient health records and clinical trial workflows. Many facilities still burn medical imaging on CDs, a time-consuming and error-prone process. Ambra Health’s automatic pixel de-identification feature uses Amazon Rekognition and Amazon Comprehend Medical APIs to allow customers to de-identify images and reduce error. Now, it’s easier than ever to deploy an integrated application fabric that elevates healthcare efficiency and care.
Say Hello to 73 New AWS Competency, MSP, and Service Delivery Partners Added in August
We are excited to highlight 73 APN Partners that received new designations in August for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
Using the Heimdall Proxy to Split Reads and Writes for Amazon Aurora and Amazon RDS
Horizontally scaling a SQL database involves separating the write-master from read-only servers. This allows the write server to perform dedicated write operations rather than processing redundant read queries. However, writing to one node and reading from another can result in inconsistent data due to synchronization delays. Heimdall Data offers a database proxy to help developers and architects achieve optimal scale from their Amazon RDS and Amazon Aurora environment without any application changes.
Leveraging Multi-Model Architecture to Deliver Rich Customer Relationship Profiles with Reltio Cloud
Building a true Customer 360 requires gaining a comprehensive view of customer behavior and preferences by aggregating data from all of these sources, and more. With a single source of truth, a true Customer 360 delivers complete a real-time customer view to all parts of the organization—sales, marketing, service, support, etc. This consistent and contextual insight can help enterprises delight customers with personalized experience and timely offers through each touch point in the customer journey.
Migrating Data Warehouse Workloads from On-Premises Databases to Amazon Redshift with SnapLogic
Amazon Redshift is a fast, scalable, easy-to-use data warehouse solution built on massively parallel processing (MPP) architecture and columnar storage. SnapLogic is an easy-to-learn data integration tool that allows business analysts and integration specialists to accomplish data ingestion from various sources into Redshift. The SnapLogic Redshift Bulk Load Snap (pre-built connector) is part of the SnapLogic Intelligent Integration Platform and enables loading large volumes of data rapidly into Redshift all at once.
Shifting Away from Legacy Data Systems Helps Companies Tap into Their Most Vital Resource
Have you ever noticed that when businesses talk about data, they often use metaphors having to do with water? In the same way plumbing makes modern life possible, a well-maintained data infrastructure is a crucial foundation on which the health of a business depends. Examine how replacing an inflexible, legacy data system with a cloud data warehousing solution can open the “floodgates” to new opportunities and modernize the approach to data management.