We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.
If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”
Customize cookie preferences
We use cookies and similar tools (collectively, "cookies") for the following purposes.
Essential
Essential cookies are necessary to provide our site and services and cannot be deactivated. They are usually set in response to your actions on the site, such as setting your privacy preferences, signing in, or filling in forms.
Performance
Performance cookies provide anonymous statistics about how customers navigate our site so we can improve site experience and performance. Approved third parties may perform analytics on our behalf, but they cannot use the data for their own purposes.
Allowed
Functional
Functional cookies help us provide useful site features, remember your preferences, and display relevant content. Approved third parties may set these cookies to provide certain site features. If you do not allow these cookies, then some or all of these services may not function properly.
Allowed
Advertising
Advertising cookies may be set through our site by us or our advertising partners and help us deliver relevant marketing content. If you do not allow these cookies, you will experience less relevant advertising.
Allowed
Blocking some types of cookies may impact your experience of our sites. You may review and change your choices at any time by selecting Cookie preferences in the footer of this site. We and selected third-parties use cookies or similar technologies as specified in the AWS Cookie Notice.
Your privacy choices
We display ads relevant to your interests on AWS sites and on other properties, including cross-context behavioral advertising. Cross-context behavioral advertising uses data from one site or app to advertise to you on a different company’s site or app.
To not allow AWS cross-context behavioral advertising based on cookies or similar technologies, select “Don't allow” and “Save privacy choices” below, or visit an AWS site with a legally-recognized decline signal enabled, such as the Global Privacy Control. If you delete your cookies or visit this site from a different browser or device, you will need to make your selection again. For more information about cookies and how we use them, please read our AWS Cookie Notice.
El contenido no se encuentra disponible en el idioma seleccionado. Trabajamos continuamente para proveer nuestro contenido en dicho idioma. Agradecemos su comprensión.
To drive informed decision making small and medium size businesses want to integrate data sources and present data insights in a clear and user-friendly way. Data-Driven Insights solutions provide the information you need to proactively diagnose issues, identify trends, and enable growth.
Sisense is a single stack BI and Analytics platform which serves the business user by creating an analytics logic separating the physical location of the data and logical connection between data sources. Sisense's mission is to simply Business Analytics for Complex Data.
This Guidance shows how to extract data and business logic from SAP systems to build a data warehouse that integrates the business context and logic embedded within the SAP system.
This Guidance demonstrates how to combine and consolidate SAP and non-SAP data from disparate sources using AWS Datalakes and Machine Learning services allowing customers to unlock hidden business insights.
This Guidance shows how you can bring your own machine learning (ML) models into Amazon SageMaker Canvas and remove the need to manually change your code that is often required when building or moving ML models in new environments.
The Guidance demonstrates how you can build a data pipeline without creating code or managing servers, making it easy for you to deploy data lakes quickly for your small or medium-size business.