Category: Learning Levels

Over time, Enterprises may need to undertake operations or make modifications to their data as part of general data management, to address changing business needs, or to comply with evolving data-management regulations and best practices. As datasets being generated, stored, and analyzed continue to grow exponentially, the need for simplified, scalable, and reproduceable data management […]

The BMW Group (BMW) is a global manufacturer of premium automobiles and motorcycles, covering the brands BMW, BMW Motorrad, MINI, and Rolls-Royce. Since 2022, BMW has started using AWS to scale its capacity to handle vast increases in needed compute and storage capacity to build and test automated driving features, such as adaptive cruise control, […]

Given the ubiquity of digital payments, cutting-edge fintech solutions hinge on seamless and highly available real-time transaction processing. Invariably, this needs the support of a performant, reliable, and secure datastore. And after considering technical requirements, fintech companies know that regulatory and compliance auditing never takes a back seat. Enterprise AWS customer Marqeta needed all of […]

Enterprise users are looking for a scalable and resilient network-attached storage (NAS) solution with high throughput performance on AWS to support distributed systems running Windows and Linux workloads. Moreover, users like to have flexible deployment models so that storage over the network can be consolidated and managed by the infrastructure account for cost optimization and […]

Moving large volumes of data across your hybrid cloud environments can seem like a daunting task, especially when dealing with a litany of requirements that arise when working within the technical limits of network, storage, compute, and operating system layers, both on-premises and in the cloud. Users face additional challenges when balancing their Recovery Time […]

Customers host their SAP HANA environments on AWS to run their business-critical processes, such as financial planning, data analytics, and supply chain management. Reliably backing up data in SAP HANA is paramount for users to restore the database in the event of disruptions and urgent business needs. To reliably back up SAP HANA, SAP documentation […]

Business-critical applications frequently require high availability to meet Service Level Agreements (SLAs). In addition, users are challenged by compliance requirements and disaster recovery plans to assure workload availability. In many cases, workloads needing high availability also need highly performant, low-latency file storage. Customers who are considering the migration of business-critical application to AWS want to […]

The telecommunications industry has undergone major technological changes in recent years, and the extensive data generated by telecom operations demands strategic handling. According to a McKinsey survey, over 50% of telecom companies said they were moving more assets to the cloud, including many business-critical applications such as business support systems (BSS). Telecom companies must prioritize […]

Companies from different industries use data to help their Artificial Intelligence (AI) and Machine Learning (ML) systems make intelligent decisions. For ML systems to work well, it is crucial to make sure that the massive datasets used for training ML models are of the highest quality, minimizing noise that can contribute to less-than-optimal performance. Processing […]

Many organizations generate large quantities of data locally, including digital imagery, sensor data, and more. Customers require local compute and storage to ingest and enable real-time predications based on their data, and often preprocess this data locally before transferring to the cloud to unlock additional business value such analysis, reporting, and archiving. Automating transfers to […]