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Thomas Kejser's Database Blog | Fighting bad Data Modeling | kejserbi.wordpress.com Reviews
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Fighting bad Data Modeling (by Thomas Kejser)
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Synchronisation in .NET– Part 3: Spin Locks and Interlocks/Atomics | Thomas Kejser's Database Blog
https://kejserbi.wordpress.com/2014/01/04/synchronisation-in-net-part-3-spinlocks-and-interlocks
Thomas Kejser's Database Blog. Fighting bad Data Modeling. DW and Big Data. Grade of the Steel. Grade of the Steel. Synchronisation in .NET– Part 3: Spin Locks and Interlocks/Atomics. Synchronisation in .NET– Part 3: Spin Locks and Interlocks/Atomics. January 4, 2014. In the previous instalments ( Part 1. Of this series, we have drawn some conclusions about both .NET itself and CPU architectures. Here is what we know so far:. The scale takes a further dip once you leave a single CPU socket. Are an altern...
Grade of the Steel | Thomas Kejser's Database Blog
https://kejserbi.wordpress.com/grade-of-the-steel
Thomas Kejser's Database Blog. Fighting bad Data Modeling. DW and Big Data. Grade of the Steel. Grade of the Steel. My Grade of the Steel tuning is a project where I take some basic workloads and tune them until they break. The purpose is to understand where the limits are on hardware, databases and data structures. Where I explore just how far a component can be taken. The Effect of CPU Caches and Memory Access Patterns. Implementing Message Queues in Relational Databases. January 2, 2014 at 16:10.
Boosting INSERT Speed by Generating Scalable Keys | Thomas Kejser's Database Blog
https://kejserbi.wordpress.com/2011/10/05/boosting-insert-speed-by-generating-scalable-keys
Thomas Kejser's Database Blog. Fighting bad Data Modeling. DW and Big Data. Grade of the Steel. Grade of the Steel. Boosting INSERT Speed by Generating Scalable Keys. Boosting INSERT Speed by Generating Scalable Keys. October 5, 2011. Throughout history, similar ideas tend to surface at about the same time. Last week, at SQLBits 9. I did some on stage tuning of the Paul Randal INSERT challenge. 160; c1 UNIQUEIDENTIFIER ROWGUIDCOL DEFAULT. 160; ,c2 DATETIME DEFAULT GETDATE (). Traditional SQL Server k...
Synchronisation in .NET– Part 2: Unsafe Data Structures and Padding | Thomas Kejser's Database Blog
https://kejserbi.wordpress.com/2013/12/27/synchronisation-in-net-part-2-unsafe-data-structure-and-padding
Thomas Kejser's Database Blog. Fighting bad Data Modeling. DW and Big Data. Grade of the Steel. Grade of the Steel. Synchronisation in .NET– Part 2: Unsafe Data Structures and Padding. Synchronisation in .NET– Part 2: Unsafe Data Structures and Padding. December 27, 2013. In the previous blog post. We saw how the lock(). Because we have already proven that ConcurrentDictionary. Adds to much overhead, we will focus on arrays as the backing store for the data structure in all future implementations. 160; s...
Thomas Kejser's Database Blog | Fighting bad Data Modeling | Page 2
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Thomas Kejser's Database Blog. Fighting bad Data Modeling. DW and Big Data. Grade of the Steel. Synchronisation in .NET– Part 1: lock(), Dictionaries and Arrays. December 25, 2013. As part of our tuning efforts at Livedrive, I ran into a deceptively simple problem that beautifully illustrates some of the scale principles I have been teaching to the SQL Server community for years. My Final SQL Server Presentations (until further Notice). October 26, 2013. MySQL – First Impressions. September 28, 2013.
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Brokerage Cuts Manual Data Workloads by 50 Percent and Strengthens Customer Trust | shauntj
https://shauntj.wordpress.com/2012/06/03/brokerage-cuts-manual-data-workloads-by-50-percent-and-strengthens-customer-trust
If you can imagine it, it can be created! Migrating Data-Centric Applications to Windows Azure. DAL – Sharding of RDBMS →. Brokerage Cuts Manual Data Workloads by 50 Percent and Strengthens Customer Trust. June 3, 2012. 8211; http:/ bit.ly/Ltlz2M. TradeStation provides historical stock-market data so that traders can test investment strategies. To support a massive planned increase in data volumes for an important customer offering, TradeStation needed to update a data management solution that requir...
Shaun | shauntj
https://shauntj.wordpress.com/author/shauntj
If you can imagine it, it can be created! Data Elasticity Through Database Sharding. January 1, 2015. Successfully achieving elastic scale is no trivial task, don’t be led to believe otherwise. It is without a doubt the most fun, challenging and exciting journey with HUGE rewards. Continue reading →. Migrating Azure services to new regions. June 30, 2014. SQL Database Sharding Patterns. June 25, 2014. June 25, 2014. DAL – Sharding of RDBMS. September 5, 2013. The benefits of sharding assists in far more ...
SQL Database Sharding Patterns | shauntj
https://shauntj.wordpress.com/2014/06/25/sql-database-sharding-patterns
If you can imagine it, it can be created! DAL – Sharding of RDBMS. Migrating Azure services to new regions →. SQL Database Sharding Patterns. June 25, 2014. Originally posted at channel9 – http:/ bit.ly/Tju0aB. This entry was posted in Scalability. DAL – Sharding of RDBMS. Migrating Azure services to new regions →. SQL Database Sharding Patterns. December 28, 2015 at 18:56. You can share souce code demo? Leave a Reply Cancel reply. Enter your comment here. Address never made public). SQL Server 2008 R2.
Migrating Data-Centric Applications to Windows Azure | shauntj
https://shauntj.wordpress.com/2012/06/01/migrating-data-centric-applications-to-windows-azure
If you can imagine it, it can be created! Successfully execute an INSERT, UPDATE and DELETE against a Database Snapshot. Brokerage Cuts Manual Data Workloads by 50 Percent and Strengthens Customer Trust →. Migrating Data-Centric Applications to Windows Azure. June 1, 2012. Originally posted at download.microsoft.com – http:/ bit.ly/1zBhQtA. Part 1: Planning and Implementing a Migration. Overview of the Migration Life Cycle. Implementing the Migration Plan. Migrating with Windows Azure Virtual Machines.
Data Elasticity Through Database Sharding | shauntj
https://shauntj.wordpress.com/2015/01/01/data-elasticity-through-database-sharding
If you can imagine it, it can be created! Migrating Azure services to new regions. Data Elasticity Through Database Sharding. January 1, 2015. Is where you get to see some good features of the package. The articles I’m listing below is the outcome of many months of all that goes into content creation. It is a great supplement to the video presentation. Optimizing Data Elasticity Through Database Sharding –. Data Isolation and Container Management. Data Partitioning Options in Sharding. You are commenting...
Migrating Azure services to new regions | shauntj
https://shauntj.wordpress.com/2014/06/30/migrating-azure-services-to-new-regions
If you can imagine it, it can be created! SQL Database Sharding Patterns. Data Elasticity Through Database Sharding →. Migrating Azure services to new regions. June 30, 2014. Originally posted on azure.microsoft.com http:/ bit.ly/1sSC5mW. The customer is a developer of a geosocial mobile game. The game has awareness of towns and cities across the world, with a presence in all but 2 African countries. Players primarily participate in terms of their physical geographical location. From a planning perspecti...
shauntj | If you can imagine it, it can be created! | Page 2
https://shauntj.wordpress.com/page/2
If you can imagine it, it can be created! Newer posts →. Ldquo;QUOTED IDENTIFIER” causes Unexpected Query Plan for Persisted Computed Column query. August 31, 2011. Thomas Kejser, Steve Howard, Jaime Alva Bravo, Kun Cheng, Jimmy May. Validation for this post was performed in the SQL CAT Customer Lab on an HP Proliant DL580 G7. 128TB MCL using driver version 2.3.1. We recently engaged a Tier 1 Global ISV in our labs, where the objective was to achieve the highest Business Transactions for their application.
Successfully execute an INSERT, UPDATE and DELETE against a Database Snapshot | shauntj
https://shauntj.wordpress.com/2011/10/17/successfully-execute-an-insert-update-and-delete-against-a-database-snapshot
If you can imagine it, it can be created! Ldquo;QUOTED IDENTIFIER” causes Unexpected Query Plan for Persisted Computed Column query. Migrating Data-Centric Applications to Windows Azure →. Successfully execute an INSERT, UPDATE and DELETE against a Database Snapshot. October 17, 2011. Mike Ruthruff, Sanjay Mishra, Alexei Khalyako. A reactive response is No. You cannot update a Database Snapshot. Msg 3906, Level 16, State 1, Line 1 Failed to update database "Orig Snapshot" because the database is read-only.
DAL – Sharding of RDBMS | shauntj
https://shauntj.wordpress.com/2013/09/05/dal-sharding-of-rdbms
If you can imagine it, it can be created! Brokerage Cuts Manual Data Workloads by 50 Percent and Strengthens Customer Trust. SQL Database Sharding Patterns →. DAL – Sharding of RDBMS. September 5, 2013. 8211; http:/ bit.ly/1vnv3bB. The Cloud Service Fundamentals. Sharding is when you logically separate your RDBMS data into multiple databases, typically with the same schema. For example, an employee table could be split across three distinct databases where each database stores a different department’...
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Fighting Bad Data Modeling
Grade of the Steel. A Line in the Sand. It has been a long time since I posted here on my blog. As you can probably guess – I have been busy. Both with private life commitments as well as work. Many people have asked me what I am doing with my time these days. I am afraid I cannot yet reveal this – but I do promise that you will find out on this blog once I can. That being said, I wanted to draw a line in the sand and wrap up the history of this blog nicely. When I resurface, this blog will shift its foc...
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Thomas Kejser's Database Blog | Fighting bad Data Modeling
Thomas Kejser's Database Blog. Fighting bad Data Modeling. DW and Big Data. Grade of the Steel. OT: Things Fashion Stores and Designers just don’t Get. February 15, 2014. I have just returned from a trip to Milan, my lovely wife traveling with me. And after a full weekend there, I feel like ranting again. For my trusted readers, if you expect something technical from this, please stop reading now. Curious Partition Function Behaviour. January 15, 2014. To different values, all -1). January 15, 2014.
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