According to Forbes, 85% of businesses want to be data driven, but only 37% have been successful. Most of the organizations that try to use data to modernize and innovate struggle with finding the proven architectural patterns that customers have implemented to build data-driven applications. Successful customers use multiple Amazon Web Services (AWS) services between event-driven Internet of Things (IoT) to collect and manage billions of devices and purpose-built databases. This allows them to save costs, grow and innovate faster, and use data analytics to get the fastest insights on all their data and artificial intelligence/machine learning (AI/ML) to help them innovate for the future.
In this whitepaper, we present some commonly used data-driven applications and proven architectural patterns based on successful customer implementation. This enables customers who are looking to build those data driven applications to accelerate time to solution.