I've always wondered why most companies undermine the value of their data. When you think about it, your company's data conceals the answer to what happened, your ability to accurately grasp what's ...

In the age of exponential data growth, organizations face the pressing challenge of managing, storing and extracting value from increasingly complex, diverse and high-velocity datasets. Traditional ...

The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

Enterprise AI needs one thing if it’s to get around the limitations of large language models and deliver the results businesses need from their agents. It doesn’t matter if you’re building ...

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 ...

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. For as long as ...

Ahana Cloud for Presto turns a data lake on Amazon S3 into what is effectively a data warehouse, without moving any data. SQL queries run quickly even when joining multiple heterogeneous data sources.