Are you looking to modernize your ageing Data Warehouse? Adastra - a leading partner for your Data & Analytics Projects - is presenting some successful case studies in the area of modernizing your traditional Data Warehouse using the various tools/products. The Enterprise Data Warehouse is, of course, not dying, but evolving rapidly. Data Warehouse architectures have been experiencing a relatively intense evolution in recent years. This trend is expected to continue in the upcoming years as Organizations around the world are looking to embrace Big Data, offer Advanced Analytics/Real-time capabilities, adding Unstructured/Streaming data into the mix, faster Development Cycles, control costs, ability to scale faster/easier, migrate to the Cloud, etc. Whatever may be your use case, modernizing your existing traditional Data Warehouse may be the best option to achieve it. In this presentation, we will talk about the various approaches to modernizing a traditional Datawarehouse and few Best Practices/Reference Architectures on the Microsoft Data Platform. Why the Microsoft Data Platform? Widely recognized as a Market-Leader in the Data & Analytics space, Microsoft offers the most comprehensive and unparalleled product portfolio in the market today, which can be deployed on-prem, Cloud or even under a Hybrid Deployment Model.