Dimensional Modeling Best practice & Implementation on Modern Lakehouse
A Large number of our customers are migrating their legacy data warehouses to Databricks Lakehouse as it enables them to modernize not only their Data
A Large number of our customers are migrating their legacy data warehouses to Databricks Lakehouse as it enables them to modernize not only their Data
Data mesh is compelling as it evolves our thinking so older approaches that might not have worked in practice actually can work today. The biggest
Data has become a valuable asset in every company, as it forms the basis of predictions, personalization of services, optimization and getting insights in general.
My first day at Google was in 2019, and one of my biggest surprises was that I didn’t find any dimensional data marts. I was
It is time to stop “collecting” the data into a central repository and start “connecting” to the data at the sources. A new architecture—logical data
This is still the #1 question I get from many data warehouse and business intelligence folks. I use to show Figure 1 (BI Analyst vs.
The data vault model and data warehouse automation are worth investigating if you are about to embark on a new data warehouse project. In a
In my last post, I suggested that while we are in the era of big data, our core understandings of information management are still driven
If you’re trying to do business intelligence (BI) on big data and the capability to handle large number of concurrent queries is a key issue
If you’re trying to do business intelligence (BI) on big data and the capability to handle large number of concurrent queries is a key issue
Some of the techniques that have made Business Intelligence so successful over the past couple decades are its Achilles heel. This post contains a few
Traditional approaches to data warehousing have changed–has your data warehouse? “Old habits die hard,” says Wayne Eckerson, a thought leader in the business intelligence and analytics field