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Author: Kevin Feasel

Networking Options with Azure SQL DB

Deepthi Goguri looks at four options:

Securing data in Azure is an important part and there are different security layers available in Azure. Below diagram shows you the different layers of Security we have in Azure to reach the customer data.

In this post, let’s focus on the Network security.

Click through for a table covering the four options in the columns list and a quick comparison of the highlights in the rows. Private link is definitely the best corporate option, though it also requires a fair amount of preparatory work.

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Plotly Visualizations in Azure Data Explorer

Adi Eldar improves ADX visualization:

Azure Data Explorer (ADX) supports various types of data visualizations including time, bar and scatter charts, maps, funnels and many more. The chosen visualization can be specified as part of the KQL query using ‘render’ operator, or interactively selected when building ADX dashboards. Today we extend the set of visualizations, supporting advanced interactive visualizations by Plotly graphics library. Plotly supports ~80 chart types including basic charts, scientific, statistical, financial, maps, 3D, animations and more. There are two methods for creating Plotly visuals:

Read on to learn more about those two methods.

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Comparing Encryption Options in SQL Server

David Fowler has a table for us:

The question of encryption seems to be coming up a lot recently. I’ve had a number of people asking me about how to go about encrypting SQL Server.

SQL can encrypt our data at a number of different levels and gives us a quite a few options when doing so. I want to use this post to put together a matrix so you can easily see which method of encryption suits your purpose. I’ll look in to each method in more detail in a future series of posts.

Click through for a rather comprehensive table and remember that “several of these all at once” is usually the correct answer for which to choose.

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Pivoting with KQL

Robert Cain continues a series on KQL:

Business Analysis is becoming mainstream in today’s corporate world. A big part of that analysis is done with pivot tables. Think of an Excel spreadsheet where data is organized into rows and columns.

The pivot plugin will take one data column from your query, and flip it to become new columns in the output data grid. The other column will become the rows, and an aggregation function will be at the cross section of the rows and columns, supplying the main data. You’ll get a better understanding through the demos in this post.

You may be wondering “plugin? What’s a plugin?”

I did, in fact, wonder. And Robert explains what a plugin is, as well as examples of how to pivot.

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PolyBase and S3 Integration in SQL Server 2022 on Containers

Amit Khandelwal combines a bunch of things together:

One of the new features introduced with SQL Server 2022 is the ability to connect to any S3-compatible object storage and SQL Server supports both Backup/Restore and data lake virtualization with Polybase integration.  In this blog, we will demonstrate both of these features for SQL Server 2022 Containers running on Kubernetes. As usual, I will use the Azure Kubernetes Service as my Kubernetes environment

Most of the work is in the container configuration, which is good on net, as it means you only have to do it once.

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SSMS and Additional Connection Parameters

Tom Zika gets spun around a bit:

The other day I managed to confuse myself. I was looking up some information from an Extended Events (XE) session, but my eyes were playing a trick on me. The database ids were off by one, and I couldn’t find some query hashes in the Query Store, even when they were supposed to be there. So my first thought was that I must be connected to a different server with a drift. But the information in the SSMS tab, status bar and even colour coding (courtesy of Redgate’s SQL Prompt) – all pointed to the correct server.

I don’t think I’ve ever run into this before but could see how it’d be really confusing.

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CETAS in the Serverless Pool and Blob Storage Variants

Dennes Torres gives us a warning:

While making some CETAS tests, I discovered an interesting new behaviour. The following error message was displayed and it was very strange:

Msg 16539, Level 16, State 1, Line 1
Operation failed since the external data source ‘https://euwe01devqigsa01.blob.core.windows.net/dennes/filescsv/’ has underlying storage account that is not in the list of Outbound Firewall Rules on the server. Please add this storage account to the list of Outbound Firewall Rules on your server and retry the operation.

Read on for the cause of this error message.

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