What Is a Data Warehouse? Definition, Architecture, Tools, and Applications
A data warehouse aggregates data from multiple sources to support querying and analysis. Learn about its architecture, tools, and applications.
A data warehouse aggregates data from multiple sources to support querying and analysis. Learn about its architecture, tools, and applications.
Many large corporations are getting buried under an avalanche of data, much of it from new sources including click-streams, social media and inter…
Exabeam’s security analysis and automation tools will monitor data stored in Snowflake data lakes and offer organizations visibility into credential-stuffing attacks and insider threats.
Organizations have a misconception about data virtualization when migrating data assets to the public cloud. Discover what may be a better alternative.
Working on Data Science personal projects is a really important part of your career as an aspiring data scientist. Projects will boost your data science kno…
Enterprises should consider implementing query-level data consumption controls using data security-as-a-service (DSaaS) solutions as cloud data warehouses la…
Companies have collected immense quantities of user data for years, but that data does little good without analysis that yields actionable insights. Customer analysis of a company’s data warehouses helps product teams and marketers make better, more informed decisions.Â
Cinchy’s Karanjot Jaswal discusses dataware, a cutting-edge data technology that attempts to reimagine how data and applications are connected.
Nicholas Ziech-Lopez, senior director, product marketing, MessageGears, explains how B2C marketers can benefit from using a cloud data warehouse as their single source of customer information.