Tag: AWS Competency Partners

Organizations realize the value of data and analytics for their businesses, but not all of them have been successful in defining a mature analytics vision and strategy. By cross-leveraging experience in process management, safeguarding data, and rich analytics practices, Genpact has developed an analytics maturity assessment framework known as the Analytics Maturity Meter (AMM). Learn how this solution evaluates a company’s current capabilities in data, process, technology, talent, and enterprise leadership.

Many companies use online databases for talent sourcing, while others prefer more traditional means such as referrals or networking. Quantiphi’s cloud-native data platform facilitates the convergence of talent and recruiter performance data to provide crucial insights into the talent acquisition process. Explore the critical aspects of Quantiphi’s serverless, fully-managed ETL pipeline along with the benefits of the centralized lake house solution built on AWS in helping talent acquisition companies.

Many companies report the biggest challenge when adopting Kubernetes is a lack of in-house skills. Infrastructure as code (IaC) blueprints can mitigate these gaps by accelerating hands-on experience, providing a reproducible foundation to configure, provision, and destroy clusters easily. Learn how Sysdig launched an add-on for Amazon EKS as well as Sysdig EKS Blueprints to enable organizations to confidently deploy instrumented Kubernetes clusters using Terraform.

Getting SAP data into AWS in real-time enables insights for better business decisions, realizes competitive advantages, enhances sharing and collaboration, and improves operational performance. It also provides the opportunity to integrate data from SAP and non-SAP sources. Learn how to extract and integrate SAP data on AWS for use cases like analytics, reporting, AI/ML, and IoT in real-time, using the BryteFlow SAP Data Lake Builder on AWS.

We are excited to highlight 154 AWS Partners that received new or renewed specializations in April for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These specializations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Antivirus for Amazon S3 by Cloud Storage Security (CSS) is a self-hosted malware solution, installed in the customer’s AWS account so data doesn’t leave the customer’s AWS account. Learn how to easily scan your workloads using Antivirus for Amazon S3, and how to integrate malware scanning into your data ingestion pipeline. Cloud Storage Security is an AWS Security Competency Partner that helps prevent the spread of malware and locates sensitive data for applications and data lakes that use AWS manages services.

Amazon EKS Anywhere allows customers to run containerized workloads on customer-managed infrastructure, and Nutanix enhances the list of deployment options for EKS Anywhere customers, which already includes bare metal servers, VMware vSphere, and Docker. AWS collaborated with Nutanix to integrate Amazon EKS Anywhere with the Cluster API provider for Nutanix to provide customers with declarative, Kubernetes-style APIs for cluster creation, configuration, and management.

Event-driven architecture makes building cloud applications easier, especially applications required to create, detect, consume, and react to multiple events in real time. Learn how DXC Technology helped a customer in the energy industry collect and push events from electricity meters using event-driven architecture. When application complexity increases, this event-driven approach provides better scalability, fault tolerance, and faster development.

Learn how to leverage Apache Iceberg capabilities with Dremio and Amazon EMR Serverless to scale your business by keeping up with various changes to your data and analytics portfolio. Iceberg is a high-performance, open table format for huge analytical tables specifically designed to mitigate the challenges introduced by unforeseen changes observed by enterprises. Dremio is a data lake engine that delivers fast query speed and a self-service semantic layer operating directly against Amazon S3 data.

Graph databases are useful for solving problems related to connected data, and represent data as nodes and enable organizations to uncover relationships between data that’s not possible with other approaches. Experts from AWS and Neo4j explore four types of databases and the most common applications for each: relational, document, in-memory, and graph. We’ll cover how different industries use graph databases and how they work as part of an AWS architecture.