Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that ...

Data lakes, along with data warehouses and databases, are central to modern computing. They form building blocks for data transformation.

A data warehouse contains structured data whereas a data lake can contain structured, unstructured, and semi-structured data. Data in the data lake comes from multiple sources and will have varying ...

Data lakes were built for big data and batch processing, but AI and machine learning models need more flow and third party connections. Enter the data hub concept that'll likely pick up steam.

A lake’s complex ecosystem, composed of plant, animal, and abiotic elements, is analogous to the mix of data—alphanumerics, images, videos, handwritten notes—that resides in a data lake.

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Polish start-up Data Lake hopes to address what it considers ‘one of the biggest roadblocks’ to innovation in modern medicine.

Genie is a new data integration model that underlies the Salesforce platform with the aim of moving data wherever it’s needed most -- and doing it fast.

While businesses are racing to implement Artificial Intelligence (AI), many overlook a critical factor in success: the quality and structure of the data feeding these models. The reality is that a ...

Media ML Data Engineering, alongside a Media Data Lake designed to handle video, audio, text, and image assets at scale.