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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the first data analytics solution built natively for live query on cloud data, announced today several new features* aimed at providing data engineers, data ...

As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and mul­tiplied. Instead of just ...

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 ...

As data sources and volumes grow, and as a data-driven orientation is increasingly deemed to be a competitive necessity, the war between platform vendors to provide the primary repository for our data ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Yellowbrick Data, the innovation leader in modern data warehousing, today announced new survey results that show IT leaders want high performance, agility and ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

As the cloud wars heat up, industry clouds are becoming a focal point. Capturing entire enterprise workloads is the biggest challenge ahead for cloud vendors. It might very well decide the fate of ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...