Jeff Taylor
Principal Data Consultant
Jacksonville, Florida, United States
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Jeff Taylor is a Principal Data Consultant, Redgate Community Ambassador, and Octopus Insider with over 27 years of experience specializing in performance tuning and critical data issues. He currently organizes the Jacksonville SQL Server Users Group and SQL Saturday Jacksonville and is the Jacksonville Development Users Group co-organizer.
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Bring Your Execution Plan & Speaker Idol
Bring your execution plan (change your table names of course) so we can identify bottlenecks and performance improvements. Email the xml prior to our meeting for us to review.
JSSUG supports new speakers and gives them opportunities to show their talents. April 16th, 2025, JSSUG will be running our annual Speaker Idol. Speaker Idol is for anyone who’s interested in exposing themselves as a community speaker but would like a safe place to get their feet wet. Sessions are 10-15 minutes long (timed) on various technical topics. Join us and support our local growing speaker community.
Speaker #1: Rejesh
Title - Database deployment automation using Azure DevOps
Bio: 19 Years of Exp in Microsoft technologies. C#, SQL, Cloud migration, Cloud native components, Databricks and DevOps administration.
Temp Tables - The Good, Bad and The Ugly
This session provides an in-depth look at the use of temporary tables in SQL Server, exploring their benefits and drawbacks. Attendees will learn about the different types of temporary tables, common use cases, and the potential performance and maintenance challenges associated with them. The session also covers best practices for using temporary tables effectively, including when to consider alternatives like table variables. Practical examples and SQL code snippets will be provided to illustrate key concepts. By the end of the session, participants will have a clear understanding of how to leverage temporary tables while minimizing their downsides.
Microsoft Fabric - SQL Database
In this session will discuss the new Microsoft Fabric SQL Database, which is now in public preview.
Deploy Your App & Database From The Beach
In this session we will show you how easy and fast it is to set up your application and database deployments, human error-free, using Octopus Deploy and Redgate.
What's New In SQL Server For The Developer
This session examines the evolution of SQL Server from 2012 to 2025, with a focus on features that enable developers to write more efficient, secure, and maintainable code. Through practical demonstrations and real-world examples, attendees will learn how to leverage modern capabilities, including JSON support, temporal tables, dynamic data masking, row-level security, in-memory OLTP, and advanced string and date functions. The session also covers performance tuning tools, encryption strategies, and expanded cross-platform support, providing a comprehensive guide for developers seeking to optimize SQL Server’s performance in modern applications.
Prerequisites
Basic understanding of T-SQL
Familiarity with SQL Server Management Studio (SSMS)
Experience working with SQL Server 2012 or later
Session Goals
Explore time-saving developer functions introduced in SQL Server versions 2012–2025.
Understand new security, paging, and in-memory features that enhance application performance and protection.
Learn about expanded operating system and platform support, including Linux and containerization.
Top 10 Things DBA’s Should Know About Their Infrastructure
This session covers the top 10 things DBA’s should know and configure for their database servers infrastructure.
How To Tune A Multi-Terabyte Database For Optimum Performance
Are you responsible for one or more very large databases that are having performance issues or seem to be running slowly? Perhaps you’re having trouble completing index maintenance, or the backups and restores are taking an unusually long time? In this session, we will explore the practical strategies for tuning multi-terabyte SQL Server databases. We will review how to solve performance challenges, including slow queries, lengthy backup times, and inefficient storage configurations. Through real-world examples, performance metrics, and SQL scripts, the session demonstrates how to improve throughput, optimize file and index management, and implement compression and partitioning techniques.
Session Goals
Diagnose and resolve performance bottlenecks in large-scale SQL Server environments using tools like diskspd and Crystal Disk Mark.
Design and implement optimized storage architectures, including filegroups, partitioning, and compression strategies.
Measure and improve I/O throughput and latency through configuration tuning and infrastructure collaboration.
Prerequisites
Participants should have:
Basic SQL Server administration experience, including familiarity with database files, indexes, and query execution.
Understanding of storage and infrastructure concepts, such as filegroups, SANs, and I/O performance.
Comfort with performance monitoring tools and interpreting metrics like latency, throughput, and IOPS.
Database Backups 101
In this session, we will be covering the basics of SQL Server backups. This includes an overview of the different types of backups, how they work, and their differences. We will also discuss backup strategies, performance optimization, and ways to improve backup processes. Additionally, we will delve into topics such as compression, TDE (Transparent Data Encryption), and setting up alerts. Furthermore, we will explore free and paid backup solutions that are available for ease of use.
Azure Data Factory (ADF) - Your New SSIS
As data volumes grow, so does the complexity of managing them. With every increase in data, there's more to extract, transform, and load. This often requires connectors for both extraction and import, yet legacy tools like SSIS may fall short, lacking the modern connectivity and scalability that today’s data demands.
Azure Data Factory (ADF) offers a powerful, cloud-native alternative. With over 120 built-in connectors, ADF enables seamless data integration from virtually any source, while scaling effortlessly to handle large datasets.
In this session, we’ll explore how ADF modernizes ETL/ELT workflows, replacing SSIS with a flexible and scalable platform. We’ll dive into its core components—pipelines, activities, datasets, linked services, data flows, and integration runtimes—and discuss best practices for deployment, monitoring, scheduling, and cost optimization.
To bring it all together, we’ll walk through a live demo of a real-world pipeline originally built for SQL Saturday Jacksonville, showcasing how ADF can tackle practical data integration challenges with minimal coding.
A live demo and walkthrough of a real-world pipeline—originally designed for SQL Saturday Jacksonville—will illustrate how ADF can be used to solve practical data integration challenges with minimal code.
Prerequisites
Participants should have:
A basic understanding of ETL/ELT concepts.
Familiarity with SQL Server Integration Services (SSIS) or other data integration tools.
General knowledge of Azure services and cloud-based data workflows.
Some experience with SQL and data pipelines is helpful, but not required.
Session Goals
By the end of this session, attendees will:
Understand the core components of Azure Data Factory (ADF), including pipelines, activities, datasets, linked services, and data flows.
Learn how ADF compares to and improves upon SSIS in a cloud-native environment.
Gain insight into best practices for deployment, monitoring, scheduling, and cost management in ADF.
See a real-world ADF pipeline in action through a live demo, originally built for SQL Saturday Jacksonville.
Leave with practical knowledge to start building or migrating data integration solutions using ADF.
Networking Tips & Tricks
This session guides on effective networking for career growth, knowledge sharing, and support. Tips include setting goals, targeting audiences, using in-person and online methods like LinkedIn, crafting an elevator pitch, active listening, and following up. It also covers etiquette, online resources, overcoming shyness, and time management. Success stories highlight networking’s impact, ending with preparation tips, confidence, and a call to action to meet new people.
Precon - Tuning Multi-Terabyte Databases: Full-Day Performance Workshop
Managing and optimizing multi-terabyte databases presents unique challenges that demand a deep understanding of infrastructure, data architecture, and SQL Server internals. In this full-day session, we’ll walk through a real-world case study of a massive SQL Server database stored in a single file and filegroup, and the journey to transform it into a high-performance, scalable system.
Attendees will learn how to:
-Identify and resolve performance bottlenecks in large-scale databases.
-Design and implement effective filegroup and partitioning strategies.
-Optimize data types and storage to reduce size and improve throughput.
-Measure and benchmark disk and query performance using tools like diskspd and Crystal Disk Mark.
-Apply compression techniques and index strategies to maximize efficiency.
-Reconfigure infrastructure for better I/O, including SAN, RAID, and VM considerations.
This session is packed with practical scripts, performance metrics, and before-and-after results. Whether you're a DBA, developer, or architect, you’ll leave with actionable strategies to dramatically improve the performance and manageability of your largest databases.
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Jeff Taylor
Principal Data Consultant
Jacksonville, Florida, United States
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