Tag: AWS Marketplace

Organizations that have foresight into their business have a competitive advantage. Advanced analytics that enable foresight have historically required scarce resources to develop predictive models using techniques like machine learning. Traditionally, this is a difficult endeavor, but recent progress in ML automation has made democratization of ML a possibility. Learn about the value of augmenting analytics with ML through the Amazon SageMaker for Tableau Quick Start.

Insurity Analytics provides continuous access to insights on the health of an insurer’s portfolio through data visualization tools and a streamlined, adaptive user experience. It enables insurers to identify trends and patterns, such as high- and low-performing policies, and deliver insights into predicted pricing benefits. Learn how Insurity Analytics prioritizes security, redundancy, and resiliency of its end users.

Machine learning allows users to drive insights about their business, and the AutoML approach speeds up this process through the automation of ML pipeline steps. Learn how Domo created AutoML capabilities powered by Amazon SageMaker Autopilot, which is a fully managed AWS solution that automatically creates, trains, and tunes the best classification and regression ML models based on the data provided by a customer.

A top priority for customers running SAP workloads on AWS is to regularly back up their databases to recover them in case of failure. Regarding where to ship the backups, Amazon S3 is a cost-effective, highly durable, and reliable storage service. Dive deep on one of the SAP-certified third-party backup solutions: Emory Cloud Backup, developed by Syntax. Emory Cloud Backup allows you to manage and store SAP databases backups—like SAP HANA, Oracle, and SAP ASE (Sybase)—directly on Amazon S3.

Implementing effective threat detection for applications in the cloud requires visibility into all aspects of your infrastructure and workloads. By taking advantage of AWS services, you’re freed to focus on the applications that drive your business. Security in the cloud is a shared responsibility between AWS and the customer, however, and Sysdig’s cloud security platform helps you follow security best practices and simplify the work of securing your AWS account and workloads.

Like many SAP customers, one of Atos’ customers had a large, on-premises environment, encompassing a combination of virtual and physical servers and traditional storage. Learn about the migration process used to move the customer from their on-premises estate to AWS. We’ll also describe the target architecture used within AWS, along with the benefits the customer has achieved both during and post migration.

Blockchain is being compared with the “network of networks,” and rightly so as the traits between both are similar. The introduction of more technology platforms gives users choice but also increases the siloes. To make a blockchain network work in an enterprise, there has to be a glue which sticks all of these platforms together. Learn how AWS Premier Consulting Partner HCLTech built a highly scalable, cost-effective, and easy-to-integrate blockchain platform called CoTrust that is architected to deploy on AWS.

For customers in the United States, patients must have access to Electronic Health Record (EHR) information in their medical records beginning April 5, 2021. While most health systems have one EHR in place, others who have undergone mergers may have several EHR solutions. All of this contributes to the challenge of achieving healthcare interoperability. This post shows how Redox, an AWS Partner and EHR integration platform, accelerates healthcare interoperability for customers.

Achieving “speed of thought” or instant analytics on large data sets is a key challenge for business intelligence platforms. Traditionally, data engineers would design and deliver an optimized, aggregated subset of the data to a data warehouse to drive the visualization. This can often take weeks of development and testing or incur significant infrastructure costs. Learn how Indexima uses machine learning and hyper indexes to automate this process and accelerate analytics by up to 1000x across a full data set on Amazon S3.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed, highly available, and secure Apache Kafka service that makes it easy to build and run applications that use Kafka to process steaming data. Learn how to use the new open source Kafka Connect Connector (StreamReactor) from Lenses.io to query, transform, optimize, and archive data from Amazon MSK to Amazon S3. We’ll also demonstrate how to use Amazon Athena to query the partitioned parquet data directly from S3.