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 ...

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

Data is the lifeblood of modern enterprises. From gaining necessary insights into customer behavior and streamlining organizational processes to making effective business decisions, data is now a ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

The days are numbered for on-premise data warehousing solutions like Teradata, Oracle, SQL Server and DB2. Cloud data warehouse solutions like Google BigQuery, Snowflake, Redshift and Azure SQL/DW are ...

It’s felt obvious for some time that, as an industry, we’ve been trying to shove square data warehousing tools into round, data-driven application holes. But it wasn’t until I read Decodeable CEO Eric ...

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 ...