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Author: Kevin Feasel

Kafka Control and Data Planes

Sanjay Garde explains how the architecture of Apache Kafka solutions has expanded over time:

With the advent of service mesh and containerized applications, the idea of the control and data plane has become popular. A part of your application infrastructure, such as a proxy or sidecar, is dedicated to aspects such controlling traffic, access, governance, security, and monitoring and is referred to as the control plane. Another part of your application infrastructure that is used purely for processing your business transactions is referred to as the data plane.

Read on to see how the concept works at an architectural level.

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Building an Event Calendar from T-SQL and CSS

Aaron Bertrand builds some HTML:

In my last tip, I showed how to use T-SQL to generate HTML for fancy calendar visuals overlaid with event data from another table. As an extension of that tip, let’s now look at simplifying parts of that query by caching the date information in a calendar table to streamline the outer queries and avoid complications caused by different DATEFIRST settings.

This is the follow-on from a prior post (linked in the lede here), so it would make sense to read that one first if you haven’t already.

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Principles of Synapse Security

Liliam Leme provides an overview of security options in Azure Synapse Analytics:

This blog post will provide an overview of the Synapse security environment focused on Dedicated SQL Pool, Serverless SQL Pool, and Spark.

Security has many layers and frequently it will determine how you build your process. I start this post by reviewing several important security considerations which you can later apply to your Synapse environment. 

This is a fairly lengthy post and it still only covers a moderate amount of what you’d want to do for Azure Synapse Analytics. This is the downside to having a complex interplay of several products: there’s a lot to secure and a lot to think about along the way.

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ADX Dashboards Now Generally Available

Michal Bar provides an overview of Azure Data Explorer functionality now generally available :

Each ADX dashboard is a collection of tiles, optionally organized in pages, where each tile has an underlying query and a visual representation. Using the web UI, you can natively export Kusto Query Language (KQL) queries to a dashboard as visuals and later modify their underlying queries and visual formatting as needed. In addition to ease of data exploration, this fully integrated Azure Data Explorer dashboard experience provides improved query and visualization performance.

Read on to learn more.

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Object Ownership in Postgres

Ryan Booz divvies up ownership rights:

In the first security article, PostgreSQL Basics: Roles and Privileges, I discussed how roles (users and groups) are created and managed in PostgreSQL Depending on your background with permissions, particularly in other database products, some of those nuances in how permissions work may have been surprising.

Understanding how roles and privileges work in Postgres is key to understanding the next, and often more confusing part of security, object ownership. Although there are many privileges that can be assigned in Postgres, object ownership comes with a specific level of privilege that cannot be transferred to other roles. Understanding the implications of this is essential to the management of your database schema, and access to the objects it contains, over time.

Click through to learn more about how Postgres handles object ownership and defines who gets access to which objects.

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Matrix Multiplication in R with DuckDB and SQLite

Karsten Weinert compares two databases:

On my laptop with 16 GB RAM, I would like to perform a matrix-vector multiplication with a sparse matrix of around 10 million columns and 2500 rows. The matrix has approximately only 2% non-zero entries, but this are still 500 million numbers and the column/row information, too large to work comfortably in-memory.

A while ago, I tried using sqlite for this task. It kind of worked, but was too slow to be useful. This weekend, I revisited the problem and tried using duckdb.

Read on for the results. I’ve heard enough positives about DuckDB over the past few weeks that it makes me want to try it out. H/T R-Bloggers.

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Checking if a TCP Port Is in Use

Tom Collins knocks on doors:

Question: SQL Server won’t start , so checked Event Viewer and getting the following message. 

Server TCP provider failed to listen on [ ‘any’ <ipv4> 50010]. Tcp port is already in use.

How can I check if the port is already in use and which other process or service  has locked the port and therefore not allowing SQL Server to start on designated port ?

Read on to see how you can use Powershell to find the answer on Windows.

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Halloween Protection and Non-Clustered Indexes

Jared Poche digs further into Halloween protection:

I find myself talking about the Halloween Problem a lot and wanted to fill in some more details on the subject. In short, the Halloween Problem is a case where an INSERT\UPDATE\DELETE\MERGE operates on a row more than once, or tries to and fails. In the first recorded case, an UPDATE changed multiple rows in the table more than once.

So let’s take a look at an example using a publicly available database, WideWorldImporters.

Read on for a case of Jared starting from the known and moving into the unknown.

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The Let Operator in KQL

Robert Cain continues a series on KQL:

Let me tell you about let, my favorite operator in the Kusto Query Language. Why my favorite?

It is extremely flexible. It lets you create constants, variables, datasets, and even reusable functions. Let me tell you, it’s very powerful.

My big problem with let, specifically with variable creation, is that the variables do not persist between batches. You can use variables between statements but only if you execute all relevant statements in one batch. This makes it harder for exploratory query building.

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Lessons Learned from Creating Database Projects

Olivier Van Steenlandt shares some hard-earned knowledge:

Almost 5 years ago I made the switch from “traditional” database development using SQL Server Management Studio to a more flexible way of development by using Database Projects and Source Control. In the first few years, I worked with BitBucket as my code management system and for 2 years I’m using Azure DevOps. In my spare time, I’m using GitHub as well.

During this transition, I came across a couple of bumps, because I wasn’t familiar with Database Projects and I only had a notion about Source Control (Git). In this blog post, I will describe my journey and the lessons learned during the process.

Click through for several tips.

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