A fast, no-fuss data warehouse as a service, Snowflake scales dynamically to give you the performance you need exactly when you need it Data warehouses, also called enterprise data warehouses (EDW), ...

The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

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 ...

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 ...

As you will see in this chapter, companies use SQL Server for many types of applications and on most tiers now. Gone are the days when you would second guess yourself choosing to use SQL Server over a ...

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 ...

Fresh from last week's Build developer conference in San Francisco, Microsoft executives appeared at the company's first-ever Ignite conference in Chicago and provided more details about the company's ...

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 ...

A new Azure SQL Data Warehouse preview offered as a counter to Amazon's Redshift headed several data-related announcements at the opening of the Microsoft Build conference today. Also being announced ...

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 ...