Azure

External Article

Data Streaming Databricks in Azure

  • Article

The core functionality of Apache Spark has support for structured streaming using either a batch or a continuous method. The two most popular sources of input data are data lake files and Kafka events. Check point files in the data lake are used to keep track of what data has been processed to date.

2025-03-14

SQLServerCentral Article

Deploying Azure SQL Database Using an ARM Template

  • Article

Provisioning infrastructure in a timely and reliable manner is essential for agile development. One well-liked method that lets you use code to automate resource management and provisioning is infrastructure as code (IaC). Azure Resource Manager templates are one IaC solution for Azure (ARM templates).

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2024-02-02

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External Article

Sending resource alerts on Managed Instance using db_mail

  • Article

One of the biggest issue that you might experience in Managed Instance is reaching storage limit or finding out that you don't have enough CPU. In this case you would need to get the bigger instance; however, this is not instant operation. In this post, you will see how you can monitor resource usage and send email alerts if there is a risk that you might reach the limits.

2023-12-20

SQLServerCentral Article

Backup and Restore SQL Database to Azure Blob Storage

  • Article

SQL databases are crucial for businesses, so it's critical to back them up. A dependable and affordable option is offered by Azure Blob Storage. Let's examine the advantages, the steps involved in backing up to and restoring from a device, recommended practices, and more.

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2023-09-15

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Question of the Day

The string_agg function

We create the following table and then insert some records in it:

create table t1 (
   id int primary key,
   category char(1) not null,
   product varchar(50)
);

insert into t1 values
(1, 'A', 'Product 1'),
(2, 'A', 'Product 2'),
(3, 'A', 'Product 3'),
(4, 'B', 'Product 4'),
(5, 'B', 'Product 5');
What happens if we execute the following query in both Sql Server and PostgreSQL?
select id, 
category, 
string_agg(product, ';')
                 over (partition by category order by id
                 rows between unbounded preceding and unbounded following) as stragg
from t1;

See possible answers