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Day: March 11, 2024

Saving Money on Azure Storage

Rahul Miglani claws back some cash:

In today’s digital landscape, businesses are increasingly turning to cloud storage solutions to manage their data effectively. Microsoft Azure offers a wide range of storage options tailored to meet diverse business needs while optimizing costs. In this blog post, we’ll explore how organizations can leverage Azure storage options to achieve significant cost savings without compromising performance or reliability.

Read on for ten tips. A lot of it boils down to keeping just enough data and putting it in the right tier, but there’s a bit more to the story.

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Relationship Columns and Power BI DirectQuery Mode

Chris Webb builds a relationship:

Many Power BI connectors for relational databases, such as the SQL Server connector, have an advanced option to control whether relationship columns are returned or not. By default this option is on. Returning these relationship columns adds a small overhead to the time taken to open a connection to a data source and so, for Power BI DirectQuery semantic models, turning this option off can improve report performance slightly.

Read on to learn what these relationship columns are and how you can remove them. Chris also provides a first-order approach to how you can estimate the performance pain involved with including these.

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Analyzing TDS 8.0 Handshake Packets with Wireshark

Matt Changchien fires up the packet capture tool:

The main difference between TLS1.2 and TLS1.3 is that TLS 1.3 reduces the number of round trips from two to one during the handshake phase, making it faster and more secure than TLS 1.2. The server hello packet containing server certificate is encrypted and one Round Trip Time (1-RTT) resumption is discontinued, and replaced with 0-RTT resumption based on client key share. Added security of TLS 1.3 comes from discontinuing certain cyphers and algorithms. (TLS 1.3 support – SQL Server | Microsoft Learn)

Click through to see what the differences look like between TLS 1.2 and TLS 1.3, as well as the specific example of Azure SQL Database.

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Input, Output, & Input/Output Parameters in Oracle & Postgres Procedures & Functions

Akhil Reddy Banappagari makes me use too many ampersands:

When migrating Oracle routines to PostgreSQL, handling OUT and INOUT parameters can be tricky. Understanding the distinctions between Oracle and PostgreSQL in how they manage these parameters is essential for a successful migration. This knowledge helps you smoothly adjust your routines, ensuring your code works well without any issues. In this article, we shall explore IN, OUT and INOUT parameters in Oracle and PostgreSQL and understand some of the important differences.

Read on to see how these work in Postgres and Oracle.

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Running SemPy from Microsoft Fabric Notebooks

Gilbert Quevauvilliers sets up an environment:

Below is where I had an error when trying to run a notebook via a data pipeline and it failed.

Below are the steps to get this working.

This was the error message I got as shown below.

Notebook execution failed at Notebook service with http status code – ‘200’, please check the Run logs on Notebook, additional details – ‘Error name – MagicUsageError, Error value – %pip magic command is disabled.’ :

Read on to see how you can fix this error and get SemPy running.

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