Microsoft Fabric storage uses OneLake and Delta Tables, the core storage of all Fabric objects, as explained in my introduction to Microsoft Fabric. Either if you use lakehouses, data warehouses, or even datasets, all the data is stored in the OneLake. OneLake uses Delta Tables as storage. In this way, we need to be aware … Read more
As mentioned in previous sections, RLS is an addition to security and should not be used as the primary method to limit access to data. It is a supplementary layer, useful in specific scenarios. There are also instances where RLS can be defeated by an unauthorized user. The attacks listed below are broken down into … Read more
Download the notebook used on this blog I explained in a previous article how the Tables in a lakehouse are V-Order optimized. We noticed this configuration depends on our settings, which can be enabled or not. One question remains: How could we check if the tables are V-Order optimized or not? The tables we will … Read more
One of the primary reasons to implement RLS is to facilitate reporting and ease the administrative burden. This section covers some considerations for using RLS with the primary Microsoft reporting engines and gives you an idea of things to look for in your reporting engine. Some anti patterns and alternatives to RLS are also examined. … Read more
When Microsoft Fabric was born, the only method to convert files to tables was using notebooks. Nowadays we have an easy-to-use UI feature for the conversion. As I explained on the article about lakehouse and ETL, there are some scenarios where we still need to use notebooks for the conversion. One of these scenarios is … Read more
Previous sections gave a brief introduction to RLS, including some common use cases. They also showed how to implement RLS using a few different methods. This section focuses on performance and potential issues you may encounter. There are two main areas where RLS can impact performance. The first is the user or authentication lookup. Some … Read more
The previous section in this series was an introduction to Row Level Security (RLS) and some use cases. This section focuses on basic setup of RLS, methods for implementing RLS and performance considerations with those implementations. The RLS access predicate is applied to every row returned to a client making performance a big factor in … Read more
Loading On-Premises and external data is a fundamental need for a Data Platform such as Microsoft Fabric. However, during this preview stage, Microsoft Fabric brings many surprises (and, should I say, deceptions?) in this area. This blog may explain a lot, but I’m not bringing conclusions, but lot of questions. It will be a pleasure … Read more
In 2012, Aaron Bertrand said most everything I knew (and a bit more) about the issues with using the sp_ prefix. Procedures prefixed with sp_ have special powers when placed in the the master database in that it can be executed anywhere on the server after that. Nothing much has change in those suggestions. It … Read more
There is a relatively simple and quickly learned technique to writing a blog that people will want to read. We asked an anonymous successful blogger, who is widely read, how it is done. I will try to explain, purely from my experience (and the editors before me), how to write articles, blogs, features, or short … Read more
I have been working as a no-code data engineer: Focused on Data Factory ETL and visual tools. In fact, I prefer to use visual resources when possible. On my first contact with Fabric Lakehouse I discovered to convert Files into Tables I need to use a notebook. I was waiting a lot of time for … Read more
The Data Wrangler is as interesting as hidden inside Microsoft Fabric. It’s not easy to find and activate it, but it is worth the trouble. Before digging into the Data Wrangler, let’s analyze the data features in the query environment. Data Features in Query Environment The new query environment, which allow us to make data … Read more
On Friday and Saturday August 11 and 12, I am going to do something I haven’t done in a long time. I am going to a conference where I may not know anyone (I did learn about the conference from one of the people that run it who was also at SQL Saturday Baton Rouge.) … Read more
Welcome back to another replication series! As a quick reminder, we explored various methods of using MySQL’s replication capabilities in our previous discussions. Initially, we employed the traditional binary-log-based replication approach to set up our replication servers. This involved tracking the binary log file and its positions to facilitate replication. In this article, we will … Read more
They mean very little. More on that after nothing that this is part of T-SQL Tuesday, and you can read the original invitation by clicking on the T-SQL Tuesday 165 invitation or the following images. I almost always forget that this is coming and today is no different. But I wanted to chime in here. By … Read more
I wrote about query store hints before when they were first released in Azure SQL databases. However, there are some tricks related to managing query store hints we will explore on this blog post. Applying Query Store Hint When we apply a query store hint, the query already exists in query store, and it has … Read more
My initial goal of documenting and exploring SQL Server Row Level Security (RLS) was to show the basic functionality and focus on a few performance and administrative items. I also wanted to confirm my base assumption that it is very secure. This security makes it useful in many situations to segregate data by user groups, … Read more
This is the fifth and final part of this series on SQL Server Dynamic Data Masking. The first part in the series was a brief introduction to dynamic data masking, completing solutions, and use cases. The second part covered setting up masking and some examples. The third and fourth sections explored side channel attacks against … Read more
Welcome back to the world of MySQL Replication! If you’ve been following this series, thank you for your support! And if you’re new here, welcome! Before we dive in, I suggest checking out the first part of the series to get up to speed. In this article, I’ll be delving into multi-source replication and explaining … Read more
The PASS Data Community Summit 2023 happens the week of November 12 in Seattle. WA. It will be my first time back in Washington state since 2019. Skipping over the years that the Summit didn’t meet in person (I missed last year’s in-person Summit with a broken foot), this year I am ready and raring … Read more
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