SQL Friday #13: Guy Glantser on “The Most Important Performance Factor in SQL Server”

Date:2020-08-28
Time:12:00 CEST
How to attend:Already finished
Accompanying material:https://www.madeiradata.com/post/the-most-important-performance-factor-in-sql-server-1
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

Guy Glantser on “The Most Important Performance Factor in SQL Server”

The most important factor in SQL Server that affects query performance is statistics. When you execute a query, the optimizer needs to come up with the best possible execution plan for it, and it needs good and accurate statistics for that. Without them, the optimizer is blind, and your query performance will suffer.

In this session, we will get to know statistics, as well as the cardinality estimator – the SQL Server component that is responsible for estimating row counts based on statistics. We will cover all types of statistics, such as column vs. index statistics, single-column vs. multi-column, filtered statistics, incremental statistics, and more. We will look at scan vs. seek operations, and we will examine how execution plans are made.

If you care about SQL Server performance, then make sure you take care of your statistics. Join this session to learn why it is so important, and how to do it right.

About Guy

Guy Glantser, Data Platform MVP, is the leader of the Israeli PASS local group and also the CEO and founder of Madeira Data Solutions. His career has been focused on the Microsoft Data Platform for more than 20 years, performing various database roles as either an on-site DBA, an external consultant or a speaker. Guy is involved in many activities in the Microsoft Data Platform community. He occasionally speaks at community events, such as PASS Summit, SQLBits, SQL Saturdays and user groups around the world. He also co-hosts the SQL Server Radio podcast.

Guy on Twitter
Guy on LinkedIn

SQL Friday #12: Alex Yates on “Zero Downtime Database Deployments”

Date:2020-08-21
Time:12:00 CEST
How to attend:Already finished
Accompanying material:https://github.com/Alex-Yates/ZeroDowntime
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

Alex Yates on “Zero Downtime Database Deployments”

You understand that big bang deployments are painful, but each deploy may disrupt users, so you are restricted to tight deployment windows for your database. The consequences of missing your windows aren’t worth thinking about – but it gets more difficult each time.

In order to move to smaller, more frequent and more reliable deployments you need to demonstrate that you can safely deploy during business hours – without disrupting users.

In this session we’ll discuss the most popular strategies: Blue/Green and Canary deploys, Cluster Immune Systems and Feature Toggles. Then we’ll discuss the fundamental changes that we need to make to the way we think about database “deployments” and “releases” in order to support these strategies.

We will finish with an SSDT, Azure DevOps and Azure SQL Database demo that simulates the Facebook Chat case study from The DevOps Handbook. The principles will be applicable to any relational database deployment, regardless of tooling.

About Alex

Alex Yates has been helping organisations to apply DevOps principles to their data since 2010. He’s most proud of helping Skyscanner develop the ability to deploy 95 times a day. Originally for Redgate, later for DLM Consultants, Alex has worked with clients on every continent except Antarctica – so he’s keen to meet anyone who researches penguins.

A keen community member, he co-organises Data Relay, is the founder of www.SpeakingMentors.com and has been recognised as a Microsoft Data Platform MVP since 2017.

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

Date:2020-08-14
Time:12:00 CEST
How to attend:Already finished
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:Already finished
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:Already finished
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:Already finished
Accompanying material:Download the presentation here
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:Already finished
Accompanying material:At Ben’s GitHub
More on Big Data Clusters:Pluralsight course Building Your First Microsoft SQL Server Big Data Cluster
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”

Date:2020-07-10
Time:12:00 CEST
How to attend:Already finished
Accompanying material:Download from GitHub
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).

SQL Friday #5: Markus Ehrenmüller-Jensen on “Introduction to Numeric Calculations in DAX”

Date:2020-07-03
Time:12:00 CEST
How to attend:Already finished
Accompanying material:Download from here
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

Introduction to Numeric Calculations in DAX

DAX (Dynamic Analysis Expressions) is a formula language to enrich imported data with calculated columns, calculated tables and measures in Power BI, Excel and Analysis Services. While the syntax of the language is derived from Excel’s formula language and easy to learn, some of the functions are hiding a complex semantic.

This talk starts on a zero DAX knowledge level but will introduce advanced concepts. We will concentrate solely on numeric calculations. You will learn the difference between calculated columns and measures and between row context and filter context. We will discuss how CALCULATE operates.

Markus will gently walk you through different examples of increasing complexity which will pick your brain – don’t forget to bring your favorite hot beverage to stay focused during this 60min!

About Markus

Markus Ehrenmüller-Jensen is the founder of Savory Data and works as a project leader, trainer & consultant for data engineering, business intelligence, and data science since 1994.

He is an educated software-engineer, graduated business educator and professor for databases and project engineering at HTL Leonding (technical college) and certified as MCSE Data Platform, MCSE Business Intelligence, and MCT.

Markus speaks regularly on international conferences (eg. PASS Summit, SQLBits, SQL Saturdays, SQL Days, Power BI World Tour, …) and writes articles for well-known journals.

In 2013 he co-founded SQL PASS Austria and in 2015 Austria PUG and organizes SQL Saturdays in Austria since 2014. For his technical leadership in the community he was awarded as a Microsoft Data Platform MVP since 2017.

SQL Friday #4: Gethyn Ellis on “Top 5 Skills a DBA will need in 2020”

Date:2020-06-19
Time:12:00 CEST
How to attend:Already finished
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

TOP 5 Skills a DBA will need in 2020

It’s the year 2020 about ten years ago many people were writing about the demise of the DBA and how they won’t be around in ten years time. As we move into a new decade, and those ten years have passed the DBA role is still alive and kicking. Albeit, it has evolved in the last ten years and it has changed considerably since I started my career in the early 2000s.

In this session we will look at what skills you would expect a DBA to have in 2010 and compare it to what they will need in 2020. No doubt we will be covering:

  • New versions of SQL Server
  • Automation and PowerShell
  • Containers
  • Cloud technology
  • Data Analytics
  • Maybe some non-technical skills too

About Gethyn

Gethyn is the lead consultant for gethynellis.com, which is a small IT Consulting and Training company.

We believe in putting the human back into technology. Your people will be at the heart of the solutions we provide to you.

We Specialise in the Microsoft data platform, both on-premises SQL Server and the Azure cloud.

Our team of talented consultants, associates and trainees, offer a range of services including platform upgrades and modernisation, performance tuning, and security hardening to help you and your people manage and learn about Microsoft Data Platform.