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.

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 ...

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 ...

These books cover everything from beginner SQL queries to advanced database architecture.Perfect for developers, data ...

Dynamic SQL lets you create a query string based off of user input. SQL Server allows you to create dynamic SQL statements. The statements use a SQL string varchar data type, then you execute the ...

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.

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 ...

SAN FRANCISCO, Nov. 12, 2020 /CNW/ -- Databricks, the data and AI company, today announced the launch of SQL Analytics, which for the first time e ...

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.