I believe Snowflake is disrupting the data market with its cloud platform for machine learning and data analytics, capturing market share from legacy incumbents. I think Data Analytics and Machine ...

AI has been reshaping how operations-heavy companies think about data infrastructure, and it could fundamentally reshape ...

Companies are now beginning to see that the problem lies not in the model's size, but in whether the AI can actually ...

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 ...

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 ...

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 warehousing solutions enable users to process their organizational data and gain more insights from their data analysis. But with so many different types and vendors of data solutions on the ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges. As customer data platforms (CDPs) continue to evolve, zero-copy ...

MongoDB MDB and Snowflake SNOW are well-known cloud-based data platform providers that help enterprises manage and analyze ...

Wylie Wong is a freelance journalist who specializes in business, technology and sports. He is a regular contributor to the CDW family of technology magazines. As part of its artificial intelligence ...