talk-data.com

Greetings, data enthusiasts!

Our October meeting is scheduled for Monday, October 14th, at 5:30 pm! We will meet in person at: Rensselaer Chamber of Commerce, 90 4th Street, Troy, NY.

Please RSVP at https://www.meetup.com/capital-area-sql-server-user-group/events/299931181/ if you are attending, so we can purchase an appropriate amount of food for everyone. Food is TBA (will be announced closer to the event). For this meeting, we are welcoming Michelle Gutzait and Christian Cote, who are joining us all the way from Montreal! Thank you, Michelle and Christian, for taking the time and energy to join us and share your knowledge!

Our meeting schedule is as follows:

• 5:30 PM: Food, soft drinks, and networking
• 6:15 PM: Chapter news and announcements
• 6:30 PM: Presentation

We usually wrap up between 7:30 PM and 8:00 PM.

Michelle Gutzait and Christian Cote are presenting on a relatively new Microsoft/Azure offering that is a game-changer in the world of analytic data: Fabric from the Ground Up In this presentation, Christian and Michelle will talk about why do we want to use Microsoft Fabric and will explain the Fabric capacity, security and pricing models.

They will also discuss the differences between a Lakehouse and a Warehouse, along with example use cases.

Lastly, they will demonstrate the options, advantages and limitations of the Power BI Direct Lake access capability.

Please join us on 20th March 2024 to listen to the topic: Copilot for Fabric Data Engineering

What \~ Toronto Data Professionals Community (Virtual) When \~ Wednesday 20th March 2024

Agenda:

• 6:00 PM Networking and Introduction
• 6:15 PM Topic: Copilot for Fabric Data Engineering with Christian Cote
• 7:30 PM End

Where: Online via Microsoft team

Session Details: How can we use AI when it comes to load and transform data with Fabric? This session will answer this question. Usage of Copilot in both Data Factory and Data Engineering Notebooks will be discussed and demonstrated. You will learn how AI can make you more productive data engineer!

Speaker Bio: Christian Coté is an IT professional with more than 16 years of experience working in data warehouse and business intelligence projects. Before SSIS was released, Christian developed ETL processes using a range of tools on multiple platforms. Christian has been a presenter at a number of conferences and code camps. He currently co-leads the SQL Server PASS chapter in Montreal as well as Global French SQL PASS Chapter. He is also Microsoft Data Platform MVP.

Leverage the power of SQL Server 2017 Integration Services to build data integration solutions with ease Key Features Work with temporal tables to access information stored in a table at any time Get familiar with the latest features in SQL Server 2017 Integration Services Program and extend your packages to enhance their functionality Book Description Microsoft SQL Server 2017 uses the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. By learning how to use the features of SQL Server 2017 effectively, you can build scalable apps and easily perform data integration and transformation. You'll start by brushing up on the features of SQL Server 2017. This Learning Path will then demonstrate how you can use Query Store, columnstore indexes, and In-Memory OLTP in your apps. You'll also learn to integrate Python code in SQL Server and graph database implementations for development and testing. Next, you'll get up to speed with designing and building SQL Server Integration Services (SSIS) data warehouse packages using SQL server data tools. Toward the concluding chapters, you'll discover how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks. By the end of this Learning Path, you'll be equipped with the skills you need to design efficient, high-performance database applications with confidence. This Learning Path includes content from the following Packt books: SQL Server 2017 Developer's Guide by Milos Radivojevic, Dejan Sarka, et. al SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. al What you will learn Use columnstore indexes to make storage and performance improvements Extend database design solutions using temporal tables Exchange JSON data between applications and SQL Server Migrate historical data to Microsoft Azure by using Stretch Database Design the architecture of a modern Extract, Transform, and Load (ETL) solution Implement ETL solutions using Integration Services for both on-premise and Azure data Who this book is for This Learning Path is for database developers and solution architects looking to develop ETL solutions with SSIS, and explore the new features in SSIS 2017. Advanced analysis practitioners, business intelligence developers, and database consultants dealing with performance tuning will also find this book useful. Basic understanding of database concepts and T-SQL is required to get the best out of this Learning Path.