A serverless cloud computing execution model is one where the cloud provider dynamically manages the provision and allocation of servers. When you want to build an app, your development structure is broken down into two major parts. The first part includes general expectations for the running of the app, this is what AWS calls the “undifferentiated heavy lifting” generally found in every app and usually common from one to the other and includes things like setting up and running the servers where you deploy the app or running your CD tools.
AWS provides the most comprehensive, secure, and cost-effective portfolio of services for every step of building a data lake and analytics architecture. These services include data migration, cloud infrastructure, management tools, analytics services, visualization tools, and machine learning. In this post we analyze the available solutions.
New data-driven apps, data lake architectures, products, and services create more data that can be stored and managed in the cloud, which allows organizations to develop new capabilities and apps, gain new insights, and deliver new products. Presented strategy is a step-wise, repeatable process, which must be run project by project, like turning a flywheel, building momentum with each turn.