According to a leading analyst firm, in 2019 the total spend in data and analytics was close to $104 billion! That number is expected to grow even more in 2020. Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise.
In this session, you will learn:
- What is logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility