Tag: AWS Services Partners

While the global Hadoop-as-a-service market size is growing at a CAGR of ~39%, it leaves out many small, mid, and large-scale organizational players due to the inherent pains of migration. This post explores how Virtusa complements Amazon EMR Migration by providing approaches and utilities to streamline and manage large-scale Hadoop-to-Amazon EMR migrations by creating a migration framework of automated modules.

Please join us in congratulating our 2022 AWS Partners of the year from Australia and New Zealand! Each year, we honor members of the AWS Partner Network (APN) who are leaders in the channel and play key roles in helping customers drive innovation and build solutions on AWS. Announced throughout the year, AWS Partner Awards recognize a wide range of born-in-the-cloud and traditional consulting and ISV partners whose business models have embraced specialization and collaboration.

For leading esports organization EGL, speed, reliability, and flexibility are essential within their platform to provide a world-class user experience and evolve with future esports trends and video games. When EGL needed to create a next-generation platform, they turned to UK consultancy Code Wizards and AWS for help. The new platform allows EGL to embrace new modes of play and extend the solution directly into mobile games on a large scale.

At re:Invent 2021, AWS announced AWS Mainframe Modernization to help customers modernize their mainframe workloads with a managed and highly available runtime environment on AWS. Collaborating with IBM, an AWS Premier Tier Services Partner, AWS is extending the available application modernization options to enable customers to select the right modernization path for their business. To start, we have identified five patterns in support of a hybrid cloud approach.

Although the business case for digital analytics is well-articulated, many organizations are looking for ways to build stronger cases around transformations by consolidating data generated across the enterprise with customer behavioral data. Learn how Softcrylic developed the Analytics Shift solution which helps businesses bring Adobe Analytics data into Amazon Redshift to drive deeper insights and data integration.

As data grows at an exponential rate both in volume and velocity, it becomes important for organizations to carve out a strategy to store data in appropriate locations with the correct safeguards to address data access and privacy concerns. Learn how organizations can transform their data landscape into a more controlled, flexible, and secure landscape using LTI’s Canvas Scarlet Data Mesh framework built on AWS to meet the data challenges an organization faces today.

Embedded analytics is re-shaping how users consume data by providing insights in the key moments that matter. The new Embedded Analytics Partner Program (EAPP) will accelerate the embedded analytics journey for AWS customers thanks to a set of trusted AWS Partners who can help customers quickly understand and integrate Amazon QuickSight’s embedded analytics capabilities to create insightful, data-driven experiences for end users.

CAD on the cloud delivers the same, if not better, performance than on-premises setup. For enterprises, it will be a paradigm shift to have their CAD/CAE workload on the cloud, especially using Amazon AppStream 2.0. Learn about Infosys’ flagship Cobalt program, one of the largest service providers in engineering and design, with decades of experience helping customers leverage AWS to optimize cost and performance.

Learn how DXC Technology was able to leverage Amazon ECS Anywhere to fulfill regulatory and compute requirements and increase operational efficiency for a use case for an in-house proprietary tool where a part of the application stack must run on premises. DXC needed a hybrid cloud solution to execute their toolkit data capture and analysis strategy without major changes in application design or architecture.

Learn now Provectus looked into how machine learning models were prototyped and evaluated at VTS, and then delivered a template-based solution enabling their data scientists to more easily create Amazon SageMaker jobs, pipelines, endpoints, and other AWS resources. The resulting coherent set of templates, with usage cookbook and extension guidelines, was applied successfully on an ML model that predicted leasing outcomes.