We have become a digital data society. We collect data at an astronomically high volume and analyze increasing amounts of data to make better decisions as quickly as changes occur. The world as we knew is has already changed; cloud adoption is at it’s all time high. Traditional on-premises solutions for data storage, data management, and analytics can no longer keep up with the rate of business data consumption. The modern data architecture gives us the best of breed data lakes and purpose-built data stores. We can store ungodly amounts of data at a low, fractional cost. We are not restricted by siloed data and can empower power users to run analytics using their preferred visualization tool. Come see what the buzz is about the modern data platform with an emphasis on the Data Lakehouse. You will learn patterns that define a lakehouse by leveraging pipelines to build the modern data engineered platforms. Gain insights on: • Comparison between a data warehouse, data lake and a data lakehouse • Comparison between a DBA, a data engineer and a data scientist • The future role of the data engineer • Various types of data in a data lakehouse • Advantages of a data lakehouse How and where does Oracle Cloud play in this world of data lake and data lakehouse? Topics from OCI will be covered such as: • Data Catalog • Metadata harvesting • Autonomous Data Warehouse