It's not overstating things to say that I use Microsoft OneNote in every part of my life. I use it to create and track projects at work; categorize, list and annotate the technologies I work with; share information with my family (from groceries to the punch-down list my wife uses when she flips houses, to … Continue reading How I Work – Using OneNote For My Daily Task List
Author: BuckWoody
SQL Blogs from Microsoft – The List
We have migrated several active and inactive MSDN blogs to these new combined blogs. If you’re wondering where the content went, here’s a table that lists the old blog and the new URL for the blog. Note that each source blog has a label at the end there in the new target blog which allows … Continue reading SQL Blogs from Microsoft – The List
SQL Server Big Data Clusters Workshop at SQL Bits
On Thursday, 28 February 2019, I'll be teaching a brand-new course from Microsoft called "Microsoft SQL Server Big Data Clusters Architecture", which I'll be delivering as a one-day workshop at SQL Bits in Manchester in the UK. I wanted to explain how the course will work, since we'll be covering a lot of information in … Continue reading SQL Server Big Data Clusters Workshop at SQL Bits
A Speaker’s Workshop in 35 Minutes
Well, not the *whole* workshop. That's a full-day long, with individualized attention and exercises. I condensed that into 35 minutes - and decided to make it free to everyone. If you check my LinkedIn profile, you'll see my "Job Title" section below my name reads "Smarter People are Better People". If you know more about, … Continue reading A Speaker’s Workshop in 35 Minutes
Buck Woody is Returning to SQL Server
I started at Microsoft in 2006 - in the SQL Server team. I've been a DBA/Developer/BI dev since 1981, on systems from mainframes to HP VAX Clusters, Solaris systems, and more. I worked as a Program Manager (someone who owns a feature within a product at MSFT) for the management tools - SQL Server Management … Continue reading Buck Woody is Returning to SQL Server
Syllabuck: Ignite 2018 Conference
(A "Syllabuck" is like a Syllabus, but more like that second definition, and certainly more random) I recently attended, presented, worked and did interviews at the Microsoft Ignite 2018 Conference in Orlando. If you have never been, you should go sometime. 30,000 people, 2.1 million square feet of space, and ten+ miles of walking per … Continue reading Syllabuck: Ignite 2018 Conference
DevOps for Data Science – Load Testing and Auto-Scale
In this series on DevOps for Data Science, I’ve explained the concept of a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for implementing DevOps in Data Science. The final DevOps Maturity Model is Load Testing and Auto-Scale. Note that you want to … Continue reading DevOps for Data Science – Load Testing and Auto-Scale
DevOps for Data Science – Application Performance Monitoring
In this series on DevOps for Data Science, I’ve explained the concept of a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for implementing DevOps in Data Science. The first thing you can do in your projects is to implement Infrastructure as Code … Continue reading DevOps for Data Science – Application Performance Monitoring
DevOps for Data Science – Release Management
In this series on DevOps for Data Science, I’ve explained the concept of a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for implementing DevOps in Data Science. The first thing you can do in your projects is to implement Infrastructure as Code … Continue reading DevOps for Data Science – Release Management
DevOps for Data Science – Continuous Delivery
In this series on DevOps for Data Science, I’ve explained the concept of a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for implementing DevOps in Data Science. The first thing you can do in your projects is to implement Infrastructure as Code … Continue reading DevOps for Data Science – Continuous Delivery