SQL Friday #11: Torsten Strauss on “Performance Tuning with Optimistic Concurrency (Level 300)”

Date:2020-08-14
Time:12:00 CEST
How to attend:Register on Meetup https://www.meetup.com/SQL-Friday/events/271616536/
If you can’t attend this one but want to attend future sessions, join the Meetup group and be the first to know when registration comes online: https://www.meetup.com/SQL-Friday

Torsten Strauss on “Performance Tuning with Optimistic Concurrency (Level 300)”

The default transaction isolation level of SQL Server is set to read committed, which eliminates certain read phenomena, but can also affect concurrency and overall read performance.

SQL Server also offers two optimistic transaction isolation levels where a transaction does not acquire a lock when reading data, which reduces the probability of blocks and therefore leads to significantly better reading performance in a busy database.

In this session (level 300), you will learn how to increase the reading performance in a database simply by changing the transaction isolation level to snapshot isolation. You will also understand how SQL Server implements this function internally and what disadvantages it has.

About Torsten

Torsten Strauß (MCT, MCSE Data Platform, MCSE Data Management and Analytics) has been working with Microsoft SQL Server since the turn of the millennium.

He currently works as Database Engineer and Microsoft SQL Server Evangelist for BP Europe SE and as CEO of inside-sqlserver.

Torsten has delivered more than 100 presentations about Microsoft SQL Server at national and international conferences and user groups and has been recognized as a Microsoft Data Platform MVP since July 2018.

SQL Friday #10: Tomaž Kaštrun on “Applied data analytics with Azure Databricks”

Date:2020-08-07
Time:12:00 CEST
How to attend:Register on Meetup https://www.meetup.com/SQL-Friday/events/271615971/
If you can’t attend this one but want to attend future sessions, join the Meetup group and be the first to know when registration comes online: https://www.meetup.com/SQL-Friday

Applied data analytics with Azure Databricks

Azure Databricks is an Apache Spark–based analytics service for big data and data analytics on top. In this session we will create Databricks scenarios for useful business scenarios. Data engineers and business analysts (data scientists) can now work on RDD structured files using workbooks for collaborative projects, using ANSI SQL, R, Python or Scala, easily covering both analytical and machine learning solutions on one hand, and also giving the capabilities to use it as a data warehouse.

About Tomaž

Tomaž Kaštrun is a SQL Server developer and data scientist with more than 15 years of experience in the fields of business warehousing, development, ETL, database administration, and query tuning.

He holds over 15 years of experience in data analysis, data mining, statistical research, and machine learning.

He is a Microsoft SQL Server MVP for data platform and has been working with Microsoft SQL Server since version 2000.

He is a blogger, author of many articles, a frequent speaker at the community and Microsoft events.

He is an avid coffee drinker who is passionate about fixed gear bikes.

In 2018 he co-authored book “SQL Server 2017 Machine Learning Services with R”.

SQL Friday #9: Menaka Baskerpillai on “Modern Data Platform Azure Cosmo Db with .Net core”

Date:2020-07-31
Time:12:00 CEST
How to attend:Register on Meetup https://www.meetup.com/SQL-Friday/events/271615366/
If you can’t attend this one but want to attend future sessions, join the Meetup group and be the first to know when registration comes online: https://www.meetup.com/SQL-Friday

Modern Data Platform Azure Cosmo Db with .Net core

This session will be about Azure Cosmo Db, which will include API’s like Graph, Table, Sql core.

Topics to be covered during the session:

  1. Let’s explore Cosmo db.
  2. API’s available in Cosmo Db’s and how to use them based on Requirements.
  3. How to create a simple .net core application using Cosmo db api.

About Menaka

I am Menaka Priyadharshini Baskar, working as an Associate software Engineer at Accenture. Former Microsoft Student Partner and Mozilla Firefox Student Ambassador.

Now currently working as a .Net Developer with Azure data platforms.

Microsoft Certified Professional in Programming C# and Azure.

I wrote about 40 articles of various technologies and also a active technical speaker .

You can find my article in the below website
https://www.csharpcorner.com/members/menaka-priyadharshini

My twitter profile
https://twitter.com/MenakaBasker

My Linkedin profile
https://www.linkedin.com/mwlite/in/menakapriyadharshini-basker-291600188

I am from India, located at Tamilnadu.

SQL Friday #8: Josef Richberg on “Building a complete API in Azure”

Date:2020-07-24
Time:12:00 CEST
How to attend:Register on Meetup https://www.meetup.com/SQL-Friday/events/271615103/
If you can’t attend this one but want to attend future sessions, join the Meetup group and be the first to know when registration comes online: https://www.meetup.com/SQL-Friday

Building a complete API in Azure

This session will take an in-depth look at using SQL Server to back a fully functional enterprise level API built in Azure. I will go over best practice designs for tables, views, stored procedures, Azure Functions (c#), Azure App Services, and finally Azure API Management.

About Josef

I have over 29 years in the world of RDBMS. I have in-depth knowledge of Microsoft SQL Server and the Azure platform (Data Factories, Logic Apps, Functions,Event Grids…) . I am fiercely passionate about my work.

I am currently developing a new Azure ecosystem for Penguin Random House. This includes moving load processes to Azure Logic Apps and Data Factory pipelines, leveraging Azure Functions, and pushing the new SQL Services to the limit.

I am the creator of the Enhanced Threading Framework (ETF) for SSIS. I presented at PASS 2013 on advanced SSIS techniques: http://www.sqlpass.org/summit/2013/Sessions/SessionDetails.aspx?sid=4845 and was awarded ‘2009 Exceptional DBA of the Year’, by RedGate and my peers.

SQL Friday #7: Ben Weissman on “Data Analysis using GitHub, Azure Data Studio and Big Data Clusters”

Date:2020-07-17
Time:12:00 CEST
How to attend:Register on Meetup https://www.meetup.com/SQL-Friday/events/271614886/
If you can’t attend this one but want to attend future sessions, join the Meetup group and be the first to know when registration comes online: https://www.meetup.com/SQL-Friday

Data Analysis using GitHub, Azure Data Studio and Big Data Clusters

In this Session, Ben Weissman is first going to give an overview about what Big Data Clusters are followed by a practical demonstration on how you can use it to integrate and analyze external data coming from GitHub..

About Ben

Ben has been working with SQL Server since SQL Server 6.5, mainly in the BI/Datawarehousing field.

He is a co-author of “SQL Server Big Data Clusters” and “The Biml Book”, regular blogger and speaker on national and international events.

Ben has been involved in about 150 BI Projects and is always looking for ways to become more productive and make SQL Server even more fun!

Together with his team at Solisyon, Ben provides training, implementation and consultancy for SQL/BI developers and data analysts in (upper-) mid-market companies around the globe.

SQL Friday #6: Mike Byrd on “A Self-Tuning Fill Factor Technique for SQL Server”

Featured

Date:2020-07-10
Time:12:00 CEST
How to attend:Register on Meetup https://www.meetup.com/SQL-Friday/events/271347237/
If you can’t attend this one but want to attend future sessions, join the Meetup group and be the first to know when registration comes online: https://www.meetup.com/SQL-Friday

A Self-Tuning Fill Factor Technique for SQL Server

Have you ever created an index and wondered what to specify for your fill factor? Usually most of us never ever give it a worry and just leave it at the default value = 0 (actually this is a synonym for 100).

Recently I’ve discovered a technique that establishes a “near” optimum fill factor value for every index in a database. I say “near” because it may not always derive the perfect fill factor, but will get you close.

We will look closely at the T-SQL for this technique to see how the proof of concept was developed for a very active OLTP database. The code “tunes” on both index fragmentation and bad page splits. A decrease in overall database wait times of 30% was achieved within 60 days after the tuning was initiated. The tuning is continuous and allows for changes in data skew as well as evolving application interactions with the database.

This is a real breakthrough for making your indexes and queries perform even better. All code will be available for download.

Level: Advanced

Prerequisites: Some knowledge of index fragmentation, page splits, and T-SQL.

About Mike

Former rocket scientist and USAF Fighter Pilot — now a SQL Server geek. Past opportunities include free-lance technical writer for PC Magazine, Senior Software Manager for government sponsored munitions effectiveness committee, and IT Director for Texas Windstorm Insurance Association (9 years), Currently senior database consultant for several companies. Presenter at many SQL Saturdays in US, Europe, and Australia.

Specialties

SQL Server performance tuning; database (OLTP & OLAP) architecture; trouble-shooting; teaching TSQL (Basic through Advanced).