Amazon Redshift: Using Amazon Redshift, you can query and combine exabytes of structured and semistructured data across your data warehouse, operational database, and data lake using standard SQL.

You can use Azure SQL Data Warehouse as a key component of a big data solution by importing big data into SQL Data Warehouse with simple PolyBase T-SQL queries, then using the power of MPP to run ...

Azure SQL Data Warehouse entered a limited preview in late June of 2015 and opened up to a wider audience in October 2015, with thousands of customers already on board before today's general ...

With these tables, users can query SQL and do more complex data transformation operations using computing languages, such as python. Nowadays, Snowflake is much more than a data warehouse.

New optimizations mean that users will get the results of the database queries and big data analytics workloads faster on systems that support more users.

If you have a large data source, such as an Access database, a SQL Server database or even a large text file, you can also retrieve data from it using Excel. Using SQL statements in Excel enables ...

Rapid Application Development (RAD) is possible using Access’ graphical interface tools to develop the end-user application that interacts with SQL Server. For example, you can use the Query ...

SQL Basics I: Data Queries—covers database terminology and the four basic query types. SQL Basics: SELECT statement options —covers the SELECT statement in detail and explains aggregate functions.