Snowflake is a fully relational ANSI SQL data warehouse that was built from the ground up for the cloud. Its architecture separates compute from storage so that you can scale up and down on the fly, ...

The notion of running a data warehouse in the cloud was a pretty novel thing when Amazon Web Services launched its Redshift service in November of 2012. Most on-premises data warehouse (DW) platforms ...

For too many companies, the data warehouse remains an unfulfilled promise. The work that was started with data warehouses to create a living, clearly defined source of truth about what is happening in ...

We recently looked at the idea of the data lake, so now it’s time to head downstream and look at data warehouses. We’ll define data warehouses, look at the data types they comprise, the storage they ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

Hadoop has introduced a lot of agility into the world of analytics and data integration. Concepts such as schema on read and the radical flexibility of processing data stored in files have allowed ...

The first generation of Azure SQL Data Warehouse (SQL DW) was announced in 2015, and SQL DW "Gen 2" reached general availability in 2018. Today, at its Ignite confab on Orlando, Microsoft is ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Azure Data Studio is a free Microsoft desktop tool, initially called SQL Operations Studio, that can be used to manage SQL Server databases and cloud-based Azure SQL Database and Azure SQL Data ...