To make data lakes work for time-series data, it’s important to add good metadata, ensure the ability to connect your analytics platform to your data lake, and take steps to improve data lake ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

OAKLAND, Calif.--(BUSINESS WIRE)--Fivetran, the global leader in data movement, today announced the general availability of the Fivetran Managed Data Lake Service, designed to automate and simplify ...

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: ...

The “data lake” concept became popular following the explosion of interest in big data and Hadoop. The data lake was seen as a modern and more efficient alternative to the enterprise data warehouse ...

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 have been ...

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...