Tag: AWS Services Partners
Application modernization is an important and growing migration strategy for many businesses. To make it easier for AWS customers to find partners with validated migration and modernization software offerings, we are excited to announce the AWS Migration and Modernization Competency. This designation features AWS Partners that have validated expertise developing and implementing solutions for customers across key areas, including business case analysis and application mobility.
AWS Partner Paths are a flexible way to engage with AWS, providing a curated journey through partner resources, benefits, and programs while simplifying the engagement model for partners, expanding access to benefits, and providing a more intuitive and streamlined experience. AWS Partner Paths replace technology and consulting partner type models—evolving to an offering type model. Partners can enroll in one or multiple Paths based on their unique customer offerings.
Enabling Security and Compliance in an AWS-Based Big Data Analytics Platform Using Cattle Server Automation and IaC
This post describes a solution created by IBM during the migration of a big data and analytics platform for one of the top 10 banks worldwide. The primary drivers were cost efficiency, business agility, and performance. The “pet to cattle” concept was applied to this solution to transform the legacy high availability disaster recovery solution to a more robust and cost-effective cattle-based solution through the use of AWS-native services.
Customer onboarding remains a challenging and time-consuming process for most banks. Both digital and traditional processes are often overly complex, resulting in lower conversion rates and higher cost of acquisition. To overcome these challenges, numerous financial institutions have started customer onboarding online. In this post, walk through the use case of one of the largest financial institutes of Europe for whom Infostretch provided a substantial breakthrough to onboard the customers digitally.
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.
In the data and analytics world, many customers have learned how expert AWS Partners can help them rethink and modernize their data architectures, or migrate and manage data warehouses, data-driven applications, and governed data lakes on AWS. To set your data and analytics business apart, it’s important to leverage the AWS Partner Network (APN) and our various differentiation programs. Whether you are just beginning to build or expand your AWS-based business, we offer programs to help you succeed.
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.
Organizations the world over rely on the Exadata database platform to operate and manage Oracle databases, simplify data management, and ensure performance-intensive systems are running as expected. While Exadata workloads perform well on premises, customers are looking to achieve the scalability, flexibility, and cost benefits of AWS. Learn how Navisite tests the performance of Exadata workloads once they have been migrated to AWS using Oracle Real Application Testing (RAT).
By avoiding inspections, insurers lose the opportunity to adequately consider all factors during underwriting and take on more risk. TCS has built a virtual inspection solution on AWS that is customizable to various inspection use cases, such as home insurance inspections and claims, auto claims damage assessment and estimation, and mortgage inspection. This post provides an overview of the TCS virtual inspection solution, describes the high-level architecture, and explores the potential business benefits for insurers.
Element 84, in collaboration with AWS and Geoscience Australia, has released the Sentinel-2 Cloud-Optimized GeoTIFF (COG) dataset on AWS Open Data. Sentinel-2 is an important platform for Earth observation, and its imagery contributes to ongoing research in climate change, land use, and emergency management. By making the Sentinel-2 archive more cloud-native, we are making the data more user-friendly and (hopefully) making the lives of emergency managers, climate scientists, and policy makers that much easier.