Chris Adkin
Chris has been using SQL Server since the year 2000 and is an uber performance geek with an interest in internals and anything off the SQL Server "Beaten path". Chris has been speaking on the Pass circuit for the past five or six years and has been a regular speaker at SQLBits.
Chris Adkin's Training Days
Advanced Techniques For Super Scaling SQL ServerSQLBits 2016
This session covers techniques and tools for use when every last ounce of performance and scalability needs to be extracted from the database engine.
Chris Adkin's Sessions
Advanced Azure DevOps With Containers and Pipeline As CodeSQLBits 2020
You are a developer and you want to leverage the 'Power' features in Azure DevOps via YAML pipeline as code, then this session is for you !
Probelm Solving Using The In-Memory EngineSQLBits 2019
The in-memory OLTP engine has been around since version 2014 of the database engine, do you need to be a SaaS provider processing billions of transactions a day to use this ?, the short answer is absolutely not and this session will show you why.
Solving Hard To Crack Problems With Windows Performance ToolSQLBits 2017
You are hitting performance and scalability issues with the database engine, conventional wisdom and tools and getting you nowhere, where do you go ?, windows performance toolkit has the answers.
Flash Storage For The SQL Server ProfessionalSQLBits 2017
The storage industry is at one of the greatest inflection points in its history. Learn the basics of flash storage and how conventional wisdom needs to change and how best to leverage what is fast becoming the main stream storage technology.
Leveraging Memory With The Database EngineSQLBits 2016
An advanced look into how memory works in modern servers, on modern processors and how to leverage it with SQL Server.
An Introduction To Column Store Indexes and Batch ModeSQLBits 2015
This session is a primer on column store indexes and SQL Server batch mode, it delves into the background behind the performance gains achieved by batch mode and includes demos on things that can be done to further enhance batch mode performance.
Superscaling SQL Server 2014 Parallel InsertSQLBits 2015
This session will take a look at how parallel select into can be scaled to the nth degree in SQL Server such that all available hardware resources are utilised as fully as possible.
Column Store Index and Batch Mode Scalability Deep DiveSQLBits 2014
A deep dive into batch mode scalability with column store index and SQL 2014.
Scaling Out SSIS With ParallelismSQLBits 2013
An introduction to scaling out packages using parallelism with the "Work pile" pattern, balanced data distributor and "Roll your own" techniques.
Advanced Azure DevOps With Containers and Pipeline As CodeSQLBits 2020
You are a developer and you want to leverage the 'Power' features in Azure DevOps via YAML pipeline as code, then this session is for you !
Probelm Solving Using The In-Memory EngineSQLBits 2019
The in-memory OLTP engine has been around since version 2014 of the database engine, do you need to be a SaaS provider processing billions of transactions a day to use this ?, the short answer is absolutely not and this session will show you why.
An Introduction To Column Store Indexes and Batch ModeSQLBits 2015
This session is a primer on column store indexes and SQL Server batch mode, it delves into the background behind the performance gains achieved by batch mode and includes demos on things that can be done to further enhance batch mode performance.
Superscaling SQL Server 2014 Parallel InsertSQLBits 2015
This session will take a look at how parallel select into can be scaled to the nth degree in SQL Server such that all available hardware resources are utilised as fully as possible.
Column Store Index and Batch Mode Scalability Deep DiveSQLBits 2014
A deep dive into batch mode scalability with column store index and SQL 2014.
Scaling Out SSIS With ParallelismSQLBits 2013
An introduction to scaling out packages using parallelism with the "Work pile" pattern, balanced data distributor and "Roll your own" techniques.