The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

Palantir and Snowflake are data warehousing tools that offer unique methods of interacting with large, non-relational data sets. While Palantir uses private operating system models, Snowflake offers a ...

At its Cloud Data Summit, Google today announced the preview launch of BigLake, a new data lake storage engine that makes it easier for enterprises to analyze the data in their data warehouses and ...

Google Cloud has updated its collection of security blueprints with the addition of a Secure Data Warehouse Blueprint that customers are free to implement to safeguard their cloud data. Google’s ...

Choosing the right data management solution comes with a long list of considerations for district IT teams, including where to start. Banks, co-host of the Packet Pushers Podcast, has been managing ...

This piece explores cloud and multi-cloud object storage and data management options recently announced by MinIO (with Snowflake), Commvault and Retrospect (part of StorCentric). Let’s see what these ...

You might not yet be a major TikTok influencer, but you can still analyze data like TikTok’s parent company, ByteDance, which recently released its real-time data warehouse architecture as open source ...

AI is driving surging demand for data centers, but they require a lot of land and huge amounts of energy. Now, some think the solution could be in space.

Carina Imburgia is at the Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington 98195, USA. To address these limitations, Zhang et al. have developed ...