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Data Control Language (aka Security)

Like ancient Gaul, SQL is divided into three sub- languages. The DDL (Data Declaration Language) declares the data. This is where we find the data types, constraints, references and other structures that have to do with how the data stored . The DML (Data Manipulation Language) uses those declarations to change their contents or to invoke them. It does not change structures and schema objects.

2024-12-04

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The Data Center that Exploded

A while back, in a Simple-Talk editorial meeting, someone bet Phil Factor that he couldn't come up with a Halloween story. To our surprise he said he could, as long as he didn't have to keep to the strict literal truth. In the end, he came up with a story about a story, and it is true that he first told the story in a data Centre at Halloween!

2024-12-04 (first published: )

10,375 reads

Deciphering Data Architectures

Deciphering Data Architectures

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each.

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2024-11-25 (first published: )

3,915 reads

T-SQL Fundamentals

T-SQL Fundamentals

Master Transact-SQL's fundamentals, and write correct, robust code for querying and modifying data with modern Microsoft data technologies, including SQL Server 2022, Azure SQL Database, and Azure SQL Managed Instance.

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2024-11-25 (first published: )

2,268 reads

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Transactions

By now, pretty much everyone has heard the stories about the first computers. They were huge, cost a fortune, required incredible amounts of air conditioning, and perhaps more importantly, ran batch jobs submitted on punched cards and magnetic tape. But even before we had these dinosaurs, there were E.A.M (electric accounting machine) units.

2024-11-22

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Question of the Day

More Funny SELECTs

What does this code return?

SELECT
  ( SELECT COUNT (*), MAX(soh.OrderDate) AS latestorder
    FROM Sales.SalesOrderHeader AS soh
    WHERE
      soh.OrderDate     > '01/01/2011'
      AND soh.OrderDate < '01/01/2012') AS OrdersIn2000
, ( SELECT COUNT (*), MAX(soh.OrderDate) AS latestorder
    FROM Sales.SalesOrderHeader AS soh
    WHERE
      soh.OrderDate     > '01/01/2012'
      AND soh.OrderDate < '01/01/2013') AS OrdersIn2001
, ( SELECT COUNT (*), MAX(soh.OrderDate) AS latestorder
    FROM Sales.SalesOrderHeader AS soh
    WHERE
      soh.OrderDate     > '01/01/2013'
      AND soh.OrderDate < '01/01/2014') AS OrdersIn2002;
GO

See possible answers