Data and AI Services - Fuel Innovation With Data And AI – AWS
With AWS data services, including Amazon Datazone and Amazon SageMaker Catalog, you can securely discover, access, and collaborate across data, AI models, and applications. What's new Discover how to turn data into a strategic asset and capitalize on generative AI
Open Data on AWS
Sharing data in the cloud lets data users spend more time on data analysis rather than data acquisition. AWS Data Exchange makes it easy to find datasets made publicly available through AWS services. Browse available data and learn how to register your own datasets.
Data Marketplace - AWS Data Exchange - AWS
Explore the AWS Data Exchange catalog by industry to find third-party data sets by leading data providers.
Analytics on AWS
From fast and cost-effective data warehousing, to petabyte-scale data processing, modern business intelligence, and real-time streaming, AWS offers a broad selection of analytics capabilities optimized for price performance and scale.
Create a modern data platform using the Data Build Tool (dbt) in …
2023年11月9日 · In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.
What is a Data Warehouse? - Data Warehouse Explained - AWS
A data warehouse is a central repository of information that can be analyzed to make more informed decisions. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence.
AWS Data Exchange
AWS Data Exchange Describes key concepts for AWS Data Exchange and provides instructions for providing, subscribing, and working with data sets. Data products are available to subscribers on AWS Marketplace as well as the AWS Data Exchange console.
Data Catalog | AWS Solutions for Analytics | AWS Solutions Library
Preparing your data to obtain quality results is the first step in any analytics or machine learning project. Discover and connect to diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor data pipelines to load data into your data lakes.
Choosing an AWS database service
2024年5月13日 · AWS offers a growing number of database options (15+) with diverse data models to support a variety of workloads. These include relational, key-value, document, in-memory, graph, time series, and wide-column.
AWS for Data Spaces
AWS supports organizations not only when connecting to and retrieving data from data spaces, but also integrating new data sources with analytics, machine learning (ML), and business intelligence services to put data into action – all while supporting data security.