<p>
    <a href="https://datadrivencommunity.com/FutureDataDriven2024.html" target="_blank">Future Data Driven Summit 2024</a>&nbsp;is one of the largest FREE IT Conferences in the Data Community focusing on Data Platform, AI, Business Intelligence, Business Applications, Power Platform, and Analytics. IT Decision Makers, Developers, Business Analysts, IT Professionals, BI Managers, BI Professionals, Database Administrators, Architects, Digital &amp; Big Data business leaders.
</p>
<p>
    <b>Why Future Data Driven:</b>&nbsp;It is a great opportunity to learn from SQL Server Experts, Microsoft MVPs, SQL Server Authors, and Professionals who have been through and can relate to the obstacles you have day to day. This one day training event is unlike any other providing free training and networking.
</p>
<p>
    Don’t miss out on the benefits of early registration. Secure your spot on our special list and stay updated with all the latest news via email.&nbsp;<a href="https://datadrivencommunity.com/fdd2024registration.html">https://datadrivencommunity.com/fdd2024registration.html</a>
</p>
<p>
    <b>When:</b>&nbsp;September 25 2024,
</p>
<p>
    <b>Cost:&nbsp;</b>FREE
</p>
<p>
    <b>Where:&nbsp;</b>Live Stream Event
</p>
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    <iframe style="margin-top: 0px;" src="https://www.youtube.com/embed/9TfljONRDyU"></iframe><iframe style="margin-top: 0px;" src="https://www.youtube.com/embed/55lO6uz6CGo"></iframe><iframe style="margin-top: 0px;" src="https://www.youtube.com/embed/atARkGZjI14"></iframe>
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Future Data Driven Summit 2024

Room v1

Microsoft Fabric offers a centralized data hub, where all your data is stored in OneLake. Parquet as the open format of OneLake allows you to connect many different workloads within Fabric, including Power BI, to your data. Beside Import mode and DirectQuery mode, OneLake allows you to facility DirectLake mode in your semantic model, which combines a performance close to Import mode with the convenience of directly accessing the data from OneLake (without the need for a regular refresh). In order to bring your data into shape, Fabric comes with several ways of transforming your data (e. g. Dataflow or PySpark notebooks). Join this session to learn from best practices in making the content of OneLake available in your semantic model.

FABRICate your Data Model

X (Twitter)

LinkedIn

Join us for an exciting session on building AI-driven applications using Azure Cosmos DB for MongoDB. Discover Cosmos's new document database, designed to support the development of modern AI applications. vCore-based Azure Cosmos DB for MongoDB provides a fully managed, MongoDB-compatible database service, allowing developers to leverage native Azure integrations and benefit from a low total cost of ownership (TCO). Whether you're migrating existing applications or creating new ones, enjoy the familiarity of the vCore architecture and build powerful AI solutions with a single database solution.

Build AI-powered apps with Azure Cosmos DB for MongoDB

Are you wondering how you as SQL expert fit in the modern world of AI? In this session we will show you how to build generative AI applications with SQL including RAG patterns, hybrid search, and "chatting" with your data. You will also learn and see demonstrations of Microsoft Copilot experiences to help you become more efficient with your SQL estate. 

Getting started with SQL and AI

The fast, ever changing world of development is always bringing enhancements and improvements to the tooling that can be used for development. This session will take a tour through the new capabilities for Azure SQL Database development and show you how they can improve your development and reduce your time to deployment.

The new sqlcmd has so many more features available to enable quick efficient development of databases.

The data api builder exposes a  modern REST and GraphQL endpoints to your Azure SQL Databases.

azd ( the Azure Development CLI) can take you from development environment to Azure in a few short commands.

After this session, you will have more knowledge about this capabilities and enough content to be able to start to explore them yourself.

The new era of SQL Development -sqlcmd, data api builder,azd and more

Income Statement Co-Pilot is a Generative AI based solution using Microsoft Co-Pilot Studio. The session would be a demo of the solution . the solution architecture. best practices and lessons learned. 

Income statement Co-Pilot

In this session, we'll explore the recently announced JSON features and other T-SQL enhancements in Azure SQL Database. JSON native type was one of the top requested features & we will explore you can leverage the native JSON data type for faster query processing, modifications, and searching.

The newly added ANSI SQL JSON aggregates - JSON_OBJECTAGG & JSON_ARRAYAGG allow you to aggregate existing relational data into any complex JSON document easily. Discover the advantages of leveraging JSON features in T-SQL to modernize your cloud native applications and interact with other services seamlessly.

We will also look at the most requested T-SQL REGEX functions available for preview in Azure SQL DB. The newly added REGEX functions enable you to write concise queries that perform complex data pattern matching, extraction, validation and manipulation. We will explore how to enable hybrid search capabilities using LIKE predicate, Full-Text, RegEx & Vector functions.

Modern T-SQL using JSON & RegEx for cloud native developer

Are you ready for a game-changer in database monitoring? Look no further! The Database Watcher is here, and it’s creating waves in the tech world. 

What’s the Buzz About? The Database Watcher is more than just a monitoring tool; it’s a revolution. Imagine having real-time visibility into your PaaS databases, with metrics, alerts, and performance insights at your fingertips. Whether you’re a developer, DBA, or data enthusiast, this tool will elevate your database management experience.

In this session, we are going to show you how easy it is to use Database Watcher, a cloud-native and cross-platform solution that supports multiple database types, versions, and platforms, to set up proactive database monitoring and collect very deep, unprecedented, rich data. You will see how Database Watcher provides easy to understand and read visualizations, with near real time monitoring, that can help you optimize your database performance, availability, and health. We will also focus on some of the exciting features coming soon, such as:
A unified dashboard that provides a comprehensive and customizable view of your database environment.
A smart alerting system that provides actionable recommendations based on best practices and industry standards.
A powerful query analyzer that tracks, captures, and analyzes queries executed on your databases, and provides insights into query performance, optimization, and tuning.
Join us in this session and discover how Database Watcher can help you take your DBA career to the next level by enabling you to proactively monitor, troubleshoot, and improve your database operations.

Be a Better DBA with Database Watcher: A Proactive Approach to Database Monitoring

Facebook

Many companies are looking to reduce licensing costs by moving databases currently written for SQL Server to PostgreSQL.  What are the technical pitfalls you might encounter when moving not only the database schema but re-factoring the code?

In this presentation, we will show how recreating the existing database schema in PostgreSQL is quite easy and migrating the data from MS SQL Server to PostgreSQL is not hard.  However, the old saying of “garbage in equals garbage out” applies to both views and stored code.

These two types of pre-compiled code will challenge the developer to use their skills to decipher code written years ago and convert it to modern day code that is performant, uses intermediate steps for debugging and uses logging for run time metrics.

In short, this presentation is a must for database developers that are tasked with moving and modernizing older SQL Server databases to PostgreSQL!


Moving on up, to the Azure cloud, with a PostgreSQL database in the sky.

Give your data the voice through:
•	T ell the story
•	H igher understranding
•	Engaging audiance

•	V isualization (explore / explain)
•	O rganize (so end-user can understand)
•	I mprove (and extract business value)
•	C lean (so you can trust)
•	E xtract-Transform-Load (unlock analytical potential)

It's not just visualization front and extracting business value from the data but also what is behind the scene to make this happened through several practical PowerBI examples.


Give your data the voice + what is behind the scene - with practical PowerBI examples

One of the challenges facing enterprise architecture is maintaining consistency across the enterprise. This is challenging because data comes from disparate sources and systems representing different purposes, focuses, and objectives. On top of that, there needs to be more clarity regarding the terms Data Lake, Data Warehouse, Operational Data Store, etc. To overcome these challenges at an enterprise level, a framework is necessary to apply data uniformly, consistently, and meaningfully. The framework will transform data from multiple, disparate data sources into an operational data store, a consistent, homogeneous environment, as the single dependable source of truth for all reporting and analytics.

This session will present that framework and discuss the following:
	• The challenges facing data analytics and reporting due to multiple disparate data sources
	• An introduction to the various terms used today for data storage
	• The purpose of an Operational Data Store and how it improves data usability
	• The data zones for Raw, Refined, and Published data
	• How data standards simplify and enhance data usability
	• A method to provide primary and foreign keys across disparate data