SQL Azure

Nisarg Upadhyay
Data loaded in the Power Query editor

How to access data from Azure Blob Storage using Power BI

March 17, 2020 by

In this article, I am going to explain how we can access the data from the Azure Blob Storage using Power BI. To do that, we are going to use the below tools:

  1. Azure BLOB Storage account: We have uploaded the source CSV file to it
  2. Power Query editor: To choose the data that we want to load in the Power BI report
  3. Power BI Desktop: To view the data imported from the CSV file
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Nisarg Upadhyay
Database install script

Install and configure the AdventureWorks2016 sample database

January 9, 2020 by

This article explains the process of installing the AdventureWorks2016 and AdventureWorksDW2016 sample database on a stand-alone instance of SQL Server and Azure SQL Server. The sample databases were published by Microsoft to demonstrate how to design a database using SQL Server. Microsoft has also published another lightweight database named AdventureworksLT, which can be used as a sample database on Azure SQL Server.

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Ranga Babu
email masking function

Implementing Dynamic Data Masking in Azure SQL database

July 30, 2019 by

In this article, we will review Dynamic Data Masking in the Azure SQL database. Dynamic Data Masking is a feature to limit the sensitive data to the non-privileged users by hiding the data of a column. Data is not masked and stored in the disk. Masking is applied to the result set returned to the user. The users with “db_owner” permission on “UNMASK” permission can still see the unmasked data when they query the table.

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Ranga Babu
adding database to an existing failover group

Azure SQL Server auto-failover groups

July 18, 2019 by

In this article, we will review how to set up auto-failover groups in Azure SQL Server and how failover group is different from active geo-replication in Azure. Auto-failover group is an Azure SQL database feature that replicates one or a group of databases to the secondary Azure SQL server in the cross-region. We cannot have a secondary server in the same region. This feature is used to failover all the databases in the failover group in case of disaster and the failover is automatic.

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Ranga Babu
Geo-Replication

Azure SQL database Geo-Replication

July 15, 2019 by

In this article, we will review how to set up Geo-Replication on Azure SQL databases. Geo-Replication is an Azure SQL database feature that allows you to create a readable secondary database in the same region or cross-region. We can failover to the secondary database in case of an outage for a long time on the primary database server. We can also use this feature to migrate a database from one server to another server in the same or cross region with minimal downtime. Geo-replication uses the Always-on feature to replicate committed transactions to the secondary database asynchronously.

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Ranga Babu
creating elastic job agent in Azure

Azure SQL – Elastic Job Agent

June 24, 2019 by

In this article, we will review on elastic job Agent in Azure SQL and how to configure elastic jobs to run scripts on Azure SQL databases. SQL Server Agent is a powerful component that is used to schedule and execute jobs in SQL server. But in Azure, SQL server agent is available only in managed instances and not in the single databases. To schedule and execute jobs on single databases we have a feature called elastic job agent. This feature is used for scheduling and execute jobs on a single database, all the databases in the server, or on all the databases in an elastic pool.

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Timothy Smith
The two web apps may add to our Azure costs, but offset costs associated with downtime

Situations When We May Want Higher Azure Costs

June 17, 2019 by

We’ve looked at methods to reduce costs within Azure. We may experience situations where a slight increase in Azure costs will benefit us to help protect our resources and customers when it involves security or other critical updates. When we consider these situations, we must keep up-to-date with the latest patches, updates to development libraries, as well as the possible effects of these updates to our existing code. Likewise, related to resource usage, a resource may be unused or seldom used by a percent of our customers that we keep when we’re ready to switch all our customers while we make the appropriate upgrades to our resources to help with costs. We’ll look at some techniques that we can use to manage the challenge of critical updates while also keeping costs down, or putting costs into a context about what may be more expensive.

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Gauri Mahajan
Advanced Threat Protection in Azure SQL Database.

Vulnerability Assessment and Advanced Threat Protection in Azure SQL Database

June 17, 2019 by

In today’s time where data breaches are highly expected to happen, there is a high need to ensure sensitive data in the Azure SQL databases is secured and which is why data security implementation is gaining momentum across each community. We covered one of the features of Advanced Data Security here in Advanced Data Security in Azure SQL Database – Data Discovery & Classification. Let’s dive further into the other two features that Azure SQL offers with this capability in this article.

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Gauri Mahajan
Columns classified using T-SQL in Data Discovery & Classification.

Advanced Data Security in Azure SQL Database – Data Discovery & Classification

June 17, 2019 by

Azure SQL supports in building and managing wide range of SQL databases, tools, frameworks etc. on the cloud. Organizations are drifting towards Azure SQL because of its obvious advantages over on-premises SQL Server and are generating, exchanging and storing data at an exponential rate on Azure. It becomes essential to safeguard, monitor our sensitive data and get alerts on anomalous activities else companies may come under fire for letting data leak and hacked.

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Timothy Smith
On the overview selection, we can show data about this VMs use to monitor for Azure costs over various time periods

Finding Unused Resources Impacting Azure Costs

June 10, 2019 by

To reduce Azure costs on unused and unnecessary resources, we should design with prevention in mind – considering whether we want to commit to reserved use or test with a pay-as-we-go model. We may experience situations where we already have many resources, but are unsure of their use – are these consistently used, sometimes used, never used? Before we can answer whether an unused resource (or what appears to be an unused resource) is unnecessary, we have to determine whether it’s used. In this tip, we’ll look at this challenge.

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