Press "Enter" to skip to content

Curated SQL Posts

Deploying an Azure Synapse Analytics Workspace

Rajendra Gupta builds out an Azure Synapse Analytics workspace:

In the article, An Overview of the Azure Synapse Analytics, we explored the Azure Synapse workspace and its features as an analytics service combining Big data analytics and enterprise data warehousing.

This article is a practical demonstration of deploying Azure Synapse Analytics workspace using the Azure portal.

Click through for step-by-step instructions on how to do it.

Comments closed

Color Palettes in Powershell and WPF

Jeffrey Hicks has been working with color lately:

Let’s continue looking at how to use PowerShell and a Windows Presentation Foundation (WPF) form to display [System.Drawing.Color] values. This article builds on an earlier post so if you missed it, take a few minutes to get caught up. As I did earlier, before running any WPF code in PowerShell, you should load the required type assemblies.

This has been a fun series to watch.

Comments closed

Amazon RDS: Backups and Patching

Joey D’Antoni is not impressed:

While some services include other really useful features (for example the query data collected by the Azure SQL Database and Managed Instance platforms), I wanted to focus on the common value adds to PaaS systems across providers. I made the last two of these bold, because I feel like they are are the most important, especially in scenarios where the vendor doesn’t own the source to the applications. Like Amazon RDS for SQL Server.

Click through for Joey’s thoughts on the topic.

Comments closed

Version Control for SSMS Templates

Kevin Chant saves some templates:

Previously I wrote a post about how to do version control for SQL Server Management Studio templates using Azure Repos. I wanted to highlight some things I did not point out in that post. In addition, I thought it was only fair that I showed how to do it with GitHub.

Plus, in my last T-SQL Tuesday post I mentioned the SQL Server diagnostic queries provided by Glenn Berry. Which reminded me to do this post. Because I want to do an example based on sharing one of the queries with your colleagues via GitHub. Like in the below diagram.

Click through to see the process.

Comments closed

SSIS Integration Runtimes in Synapse

Andy Leonard heard it on the grape vine:

My first response was – and I quote – “WOO HOO!” It’s good to see SSIS getting some love.

A couple years ago, someone claimed SSIS was dying. I first checked it out. Then I blogged about it in a post titled SSIS is Not Dead (Or Dying). It’s been a couple years and SSIS is not dead. One could say SSIS functionality being added to Azure Synapse, arguably Azure’s flagship offering, appears to be the opposite of dying.

I’m not sure I’m as sanguine as Andy is about the future of SSIS but I will say at the very least I agree that it’s not going anywhere anytime soon.

Comments closed

Types of Regression

The Finnstats folks talk about regression:

Basically, Regression analysis involves creating an equation to describe the significant association between one or more predictors and response variables, as well as estimating current observations.

The results of the regression reveal the direction, size, and analytical significance of the relationship between predictor and response, where the dependent variable is either numerical or discrete.

Click through for details on six types of regression. H/T R-Bloggers.

Comments closed

Multivariate Anomaly Detection in SynapseML

Louise Han has an announcement:

Today, we are excited to announce a wonderful collaborated feature between Multivariate Anomaly Detector and  SynapseML , which joined together to provide a solution for developers and customers to do multivariate anomaly detection in Synapse. This new capability allows you to detect anomalies quickly and easily in very large datasets and databases, perfectly lighting up scenarios like equipment predictive maintenance. For those who is not familiar with predictive maintenance, it is a technique that uses data analysis tools and techniques to detect anomalies in the operation and possible defects in equipment and processes so customers can fix them before they result in failure. Therefore, this new capability will benefit customers who have a huge number of sensor data within hundreds of pieces of equipment, to do equipment monitor, anomaly detection, and even root cause analysis.

Click through for more details and a demonstration on how to use it.

Comments closed

The Architecture of Project Bansai

Tsuyoshi Matsuzaki takes us through the architecture for Project Bansai:

Project Bonsai is a reinforcement learning framework for machine teaching in Microsoft Azure.

In generic reinforcement learning (RL), data scientists will combine tools and utilities (such like, Gym, RLlib, Ray, etc) which can be easily customized with familiar Python code and ML/AI frameworks, such as, TensorFlow or PyTorch.
But, in engineering tasks with machine teaching for autonomous systems or intelligent controls, data scientists will not always explore and tune attributes for AI. In successful practices, the professionals for operations or engineering (non-AI specialists) will tune attributes for some specific control systems (simulations) to train in machine teaching, and data scientists will assist in cases where the problem requires advanced solutions.

Read on to see how it works.

Comments closed

Deleting Individual Records from Azure Data Explorer

Slavik Neimer shows how to delete records from a table in Azure Data Explorer:

Azure Data Explorer is a big data analytics platform that takes care of everything required to ensure real time decision making can take place, or at least, near real time. This includes data ingestion, data querying, data visualization and data management.

In this blog post you’ll learn how to delete individual records from a table, and how it works behind the scenes.

Of particular note is the whatif=true clause, as it’d be nice to see what you burn before you burn it.

Comments closed

Plotting Multiple Columns on a Legend in Power BI

Jason Cockington has a workaround:

At a recent training course, one of the students asked if it was possible to add two different columns on the legend of a line chart, so that when a selection is made on a second slicer the chart splits to reveal multiple lines.

Given others in the class showed interest in the subsequent conversation, I decided to create a short blog so that everyone could benefit.

The short answer is “no” but the longer answer is more interesting.

Comments closed