We asked experts to help us shed light on the differences between a data lake and a data warehouse and what that means for your organization.

As companies collect increasing amounts of data and store it, they risk creating data swamps. Sometimes, what started as a data lake turns into a data swamp. Data lakes and data swamps are both data ...

Data lakes and data warehouses are both very important for data analysis - and very different. Here's how to decide which you need.

Many organizations nowadays are struggling with finding the appropriate data stores for their data, making it important to understand the differences and similarities between data warehouses, data ...

Particularly with the industry spotlight on Snowflake following its recent IPO, there’s no shortage of discussion right now around cloud data warehouses, cloud data lakes, and how the two overlap – or ...

A common pattern in data lake and lakehouse design is structuring data into zones, with bronze, silver, and gold being typical labels. Each zone is suitable for different workloads and different ...

Why businesses must rethink their data lakes. (image: PBT Group) While businesses are racing to implement artificial intelligence (AI), many overlook a critical factor in success: the quality and ...