Data is the heart of AI– without the right data, one can neither build nor implement an AI solution. Creating the right architecture to capture, store, process and use structured and unstructured data determines the success of the AI, ML and digital strategy of an organization. The current session aims to provide a broad view of approaches to building the right data engineering strategy for the organization, it will also illustrate the strategic design and technology choices that are involved and criteria for selecting the right technology. The session will be conducted by Bijoy Kumar Khandelwal COO Actify Data Labs and Hindol Basu CEO Actify Data Labs. The session will also provide an overview of data engineering technology landscape and help illustrate technologies like Kafka, Lambda Architecture, Hadoop, Hive, NoSQL, Graph DB, MapReduce etc.