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 ...

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 ...

Your data is the most valuable commodity your company has, and at this very moment, thieves are plotting to steal it from you. The rise of cloud storage means businesses can access files and documents ...

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 ...

Oracle recently announced an update to its Autonomous Data Warehouse (ADW) service. The update positions the company to gain market share against its cloud rivals in the competitive cloud data ...

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 ...

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 ...

In the new wave of digital transformation, Tianjin Haianda Shipping Engineering Service Co., Ltd. has delivered an impressive technological response. The company applied for a patent titled "A Data ...

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 ...

As we have pointed out before, large enterprises have to deal with a different kind of scale issue than the hyperscalers, and in many ways, the hyperscalers have it easier. The hyperscalers have ...