Weekly reading #24

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Hello #SQLFamily! We are packing for the longest trip this year. Next week we will start in Shanghai, then will move to Bangalore for #DPS10 and the last week we will be working in Dubai. There will be a lot of blogging related activities in Shanghai with some special guests so stay tuned!

I’m excited to announce that I will be presenting for the second time at the Data Platform Summit 2019. It’s happening this month in Bangalore, India (August 22-24, Radisson BLU).

My sessions are:

  • Pre-Con: End-to-End Power BI Desktop Data Modeling
  • Break Out: Data Science for everybody. Beware of what you are eating
  • Break Out: Introduction to Deep Learning with Keras
  • Round Table: Artificial Intelligence Round Table with Anupama Natarajan
  • Chalk Talk: Why database modelling matters

Now let’s dive into the 5 best articles to read I have found for you!

Introducing Distributed transaction functionality on SQL Server 2017 on Linux starting with CU16

I have been running SQL Server on Linux on the production environment so good tutorials are necessary! This one is about configuring MSDTC in such environment

The Challenge of Migrating to Azure SQL Database Managed Instance

Joey says that it is not that easy to migrate a database to the Managed Instance. Think about how many objects your database has (like CLR or so) and you know he is right!

Tutorial: Use Active Directory authentication with SQL Server on Linux

This tutorial explains how to configure SQL Server on Linux to support Active Directory (AD) authentication, also known as integrated authentication. It might be important if you run SQL Server on Linux. I do (on production!!! – crazy, isn’t it?) so at some point I needed it!

tempdb Enhancements in SQL Server 2019

Erin has been investigating tempdb for years and now she spreads the news about the tempdb enhancements in SQL Server 2019. Warning – there is a lot of code in her article!

Microsoft Machine Learning Server 9.4 is now available

Microsoft Machine Learning Server is your flexible enterprise platform for analyzing data at scale, building intelligent apps, and discovering valuable insights across your business with full support for Python and R

Cheers,

Damian

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