Category: AWS DataSync

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 […]

Many organizations find themselves faced with the task of transferring a substantial amount of object data between cloud service providers, there are various scenarios behind such transfers. These scenarios include data consolidation, workload migration, acquisition, and cost optimization efforts. Achieving a successful migration involves several crucial components, including comprehensive data encryption during transfer, the ability […]

Organizations may need to transfer large numbers of files from one cloud provider to another for a variety of reasons like workload migration, disaster recovery, or a requirement to process data in other clouds. Data transfers typically require end-to-end encryption, the ability to detect changes, object validation, network throttling, monitoring, and cost optimization. Building a […]

Organizations may at times have to transfer large amounts of object data from one cloud service provider to another. There can be several reasons for this, including data consolidation, moving workloads, disaster recovery planning, or cost optimization efforts. Completing a successful migration requires several key elements, including full encryption of the data being transferred, the […]

At AWS, we believe that customers get the best experience, performance, and cost when they choose to run their IT operations in the cloud. However, for a variety of reasons, some customers end up in a situation where they’re running their IT operations in a multicloud environment. For example, a customer might have acquired a […]

When migrating data from on premises, customers seek a data store that is scalable, durable, and cost effective. Equally as important, BI must support modern, interactive, and fast dashboards that can scale to tens of thousands of users seamlessly while providing the ability to create meaningful data visualizations for analysis. Visualization of on-premises business analytics […]

Do you ever wonder how you can keep up with incoming requests for increased storage capacity without having to expand data center footprint, increase utility spend, and continually handle hardware refresh cycles? Customers are looking to free up space from on-premises storage systems or other clouds, whether it is for existing archival datasets, transitioning their […]

Data migration is a critical first step for an organization in their cloud journey. It often requires a lift and shift of business-critical applications, databases, data analytics workloads, data warehouses, big data, and trained artificial intelligence/machine learning (AI/ML) models. The data is generated and stored in different layers causing complexity in the migration process. Due […]

Organizations look for ways to leverage the compute power of the cloud to analyze their data and produce reports to help drive business decisions. They want to load their data sets into extract-transform-load (ETL) pipelines for data processing. Once the data is processed, business decision makers at these organizations rely on accurate report generation to […]

UPDATE (7/25/2023): AWS DataSync now supports copying data to and from Azure Blob Storage, view the what’s new post and view our video for more information. UPDATE (3/26/2024): When deploying the AWS DataSync agent, this repository contains a script designed to convert the DataSync Agent VHDX to VHD on Amazon Linux 2 (AL2), and upload […]