Lack of consistency: Companies may often find it difficult to keep their data lake and data warehouse architecture consistent. It is not just a costly affair, but teams also need to employ ...

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

Data governance: While the data in the data lake tend to be mostly in different file-based formats, a data warehouse is mostly in database format, and it adds to the complexity in terms of data ...

At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss ...

For years, TDWI research has tracked the evolution of data warehouse architectures as well as the emergence of the data lake. The two have recently converged to form a new and richer data architecture ...

They discussed Dremio’s vision for next-generation data lake architecture, ... Dremio’s growing acceptance presents an interesting scenario for the data warehouse industry.

We have established that data lakehouse is a product of data warehouse and data lake capabilities. It enables efficient and highly flexible data ingestion. Let’s take a deeper look at how they ...

Meanwhile, Databricks is available on Amazon Web Services (AWS), while the cloud giant also positions its Redshift data warehouse product as a lakehouse architecture, with the ability to query ...

Before taking such a recommendation, you should consider whether you need both a data lake and a data warehouse — or if you can simplify your architecture by using the same physical system for both.

However, AWS Lake Formation has all of the hallmarks of a cloud data warehouse, though AWS is not calling it that and in fact already offers a classic data warehouse, Amazon Redshift, which is ...