SQL Server According to Bob
JUNE 27, 2016
It was Jan 2015, in my previous supportability role, that I started looking at SQL Server on Linux. Before joining Microsoft in 1994 I worked at State Farm Insurance and spent several years in a testing group and later joined a team developing applications against SQL Server for OS/2. To others this is new information.
The Morning Paper
OCTOBER 22, 2019
The only caveat to the results is that the interviews were conducted in 2015, and this is a fast-moving space. Using EDA to test or demonstrate a new methodology or tool. Software engineering for machine learning ’), is the lack of documentation, metadata, and provenance. What is EDA?
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SQL Server According to Bob
JANUARY 5, 2017
As Slava highlights in his recent blog post , he also contacted me in early 2015 to assist with supportability of SQL Server on Linux. I spent a year making plans to for the support changes needed, providing supportability feedback, testing debugger extensions and engaging in many other aspects of the project.
Rigor
SEPTEMBER 11, 2019
Rick is a software engineer on the Google Chrome team, “leading an effort to make the web just work for developers.” Patrick is a London-based software developer who specializes in web performance and who describes himself as enjoying “working the entire stack, back-end to front-end, CDN to server.”
Tasktop
DECEMBER 5, 2019
In September I joined Engineering Operations at Tasktop as a Senior Software Engineer, helping the company to drive improvements in our builds, monitoring, infrastructure automation, release engineering, and all the other great things the team does. That’s when I came across a documentary about life in Canada.
SQL Server According to Bob
JUNE 3, 2016
The SQL Server Development team tasked several individuals with scalability improvements and real world testing patterns. ” – Bob Dorr, Principle Engineer SQL Server Support. ” – Bob Dorr, Principle Engineer SQL Server Support. Bob Dorr – Principal SQL Server Software Engineer.
The Morning Paper
NOVEMBER 21, 2019
We have spoken with data scientists and software engineers at several firms that use PlanOut, and they have stated that the mapping from experiments to samples was what drew them to the PlanOut framework. Fully randomised treatment assignment ensures that there are no confounding variables. PlanAlyzer can check for this.
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