Data warehouse infrastructure is still critical for some agencies, and it will need to to keep up with changing data requirements so agencies can reduce siloes of information. The Qlik Compose ...

Choose the right infrastructure. A cloud data warehouse, as mentioned earlier, would free up critical resources and provide scalability on a pay-as-you-go model.

Data warehouse platforms as specific types of data storage, ... The fact that Hadoop, for example, is starting to assume data warehousing infrastructure roles (refinery, archiving, ...

Top 25 firm Armanino plans to launch a data warehouse service for smaller organizations later this year and has been using AI to develop some of its rollout strategies. Carmel Wynkoop — Armanino's ...

So Agero made the leap to a cloud data warehouse, choosing Snowflake Computing Inc. as its provider. The shift has paid off in many more ways than just cost savings, which have been substantial ...

Enterprises are fast adopting data warehouse technologies, which offer a system for reporting and analyzing mission-critical data. At their best, data warehouses allow companies to process ...

Reduce infrastructure overhead, increase the scalability and diversity of data pipelines while improving governance. Legacy data warehouse solutions are inefficient because computing and storage ...

The Impala-based Cloudera Analytic Database is now Cloudera Data Warehouse. And on the PaaS cloud side, it's Altus Data Warehouse. No more euphemisms. Cloudera's in the DW race.

A CDO’s guide to data warehouse automation: Why it is needed and how to succeed with data Cloud Computing News. The four 'Vs' of data are well known - volume, velocity, variety and veracity. However, ...

Even though Oracle is late to the ML PaaS party, it has unique capabilities in the form of AutoML, tight integration with the data warehouse, model explainability, and comprehensive model management.