Bringing all of your data in its original format from different sources into a single location, is definitely the first step towards data integration. But that in itself does not provide you a global 360-degree view of your business. Often, there is this unrealistic expectation that when a 'data lake' is formed, the data will magically and readily become automatically useful. In real life, there is nothing farther from the truth. A true Data Integration (DI) platform can provide a 'single source of truth' for an organization's data landscape. It facilitates a powerful view of the business, using high quality data that is compliant, governed and conforming. DI is a lot more than just having a 'single source of data', it is about supporting a flexible, fluid and modifiable structure (schema-on-read), it is about organization, cataloging, search-ability, security, lineage, change tracking, accountability, transactional capabilities and more. A true DI platform requires a database as its center-piece. It is only then, will it it truly enable meaningful 'business insights' and set the platform for machine learning, deep learning, artificial intelligence and more. Today's public Cloud Service Providers, provide us with a variety of services, in the realm of serverless computing, that enables us to leverage the benefits of Cloud Computing to its maximum potential. This talk gives you a technical perspective on the quintessential elements of DI from a Cloud data architecture standpoint. It strives to create an architecture for your data landscape to provide continuous, consistent and repeatable value for your business.