10 Things You Need to Know About the Logical Data Warehouse

The amount of data companies generate and store is growing larger and larger – every day. These vast streams of data hold vital insights that enable businesses to improve their operations and adapt faster to changing market needs and new demand. Indeed, big data can make the difference between a business’s success and survival!  But the challenge is to effectively harness and unlock the full potential of data.

So the question is, how can businesses set their data free and make it dance to their tune? Tunes that range from self-service BI to predictive analytics?

Simple answer: the Logical Data Warehouse!

Mark Beyer of Gartner introduced the term Logical Data Warehouse in 2012 when he wrote: “The Logical Data Warehouse (LDW) is a new data management architecture for analytics which combines the strengths of traditional repository warehouses with alternative data management and access strategies.”  

Fast forward six years, and the LDW has proven to be more than just a fleeting trend on the data management market. In fact, it is a technology with an enormous potential to enable businesses to turn their big data into smart data and become truly agile, data-driven organizations.  

So, what is the Logical Data Warehouse and why should you care? Here are 10 things you need to know: