“They’ve got their data warehouse and they’ve got their data lake, and they’re moving data between them every day, at quite high frequency. And the feedback we’re getting on this is, it’s very ...

According to a report released today by Research and Markets, the data lake market is projected to drive nearly $9 billion in revenue by 2021, up significantly from the $2.5 billion in spending ...

Unlike the old data warehouse, the data lake holds “raw” data in its native format, including structured, semistructured, and unstructured data. The data structure and requirements are not ...

They eliminate data silos. At a young company, quickly sharing data and performing a variety of cross-sectional analyses can supply insights and new, unexpected paths forward.

Enterprises can hire robust technological teams to build out data lakes and data warehouses, or use out-of-the-box platforms, such as Amazon’s data warehouse offering, Redshift, or Microsoft ...

Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image ...

It is combining the concept of the data lake with edge computing into what it calls “interconnected micro data lakes,” or data pools. “Data pools” are micro-data lakes that function like a ...

Since data lakes receive and store information in its native form, the amount of processing required to adapt data to the data lake structure is very low. This makes for a more efficient stream of ...

42% moved from a cloud data warehouse to the data lakehouse—more than from any ... In addition, Dremio eliminates data silos by enabling queries across data lakes, databases, and data ...