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 ...

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.

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 ...

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.

More than 750 million people worldwide use spreadsheets, and that's why Sigma Computing Inc. thinks the familiar row-and-column metaphor is a good way to work with data warehouses as well.The co ...

Never shy to compare its services to its competitors, Microsoft also notes that Azure SQL Data Warehouse can support up to 128 concurrent queries now, compared to the 50 that Amazon Redshift is ...

Redshift software can analyze exabytes of data and run complex analytical queries on data using AWS-designed hardware, machine learning, and SQL. Users need only to load and query data in the data ...

The company switches on the security-enhancing feature, providing administrators with more visibility into their cloud database operations.

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 ...

With SnapLogic, customers can easily transfer data into and out of the Azure SQL Data Warehouse and quickly build, deploy and manage multiple high-volume, data-intensive integration projects.