<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>
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<p>
    <b>When:</b>&nbsp;September 25 2024,
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<p>
    <b>Cost:&nbsp;</b>FREE
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    <b>Where:&nbsp;</b>Live Stream Event
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Future Data Driven Summit 2024

Room v5

Join us in this session to explore how Real-Time Intelligence streamlines data ingestion, enables real-time querying, and enhances overall analytics capabilities. Learn practical techniques to leverage this powerful platform in your data-driven workflows. Real-Time Intelligence in Microsoft Fabric empowers organizations to scale up their analytics solutions while democratizing data access. It’s essential in various enterprise scenarios, including cybersecurity, asset tracking, predictive maintenance, supply chain optimization, and more. In this session, we’ll delve into the critical aspects of data ingestion within Real-Time Intelligence. We will cover what's new in Kusto, Copilot in Eventhouse and the new Real-Time Dashboard in Kusto.

Data Ingestion in Microsoft Fabric Real Time Intelligence

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Security is a top priority for Microsoft Fabric. As a Fabric customer, you need to safeguard your assets from threats and follow your organization's security policies. The Microsoft Fabric security session serves as an end-to-end security overview for Fabric. It covers details on how Microsoft secures your data by default as a software as a service (SaaS) service, and how you can secure, manage, and govern your data when using Fabric. This will be an engaging session and you will get an opportunity to provide direct feedbacks to the product team. If you are a data analytics professional implementing Fabric or if you are an IT/InfoSec admin who wants to make sure that proper controls are in place for your organizational tools, then don't miss this session.

Fabric Security - Everything you need to know

Over the last three decades SQL Server added a lot of high availability and disaster recovery options. This session will shine a light on which are still relevant in 2024 and which ones work well with each other and which ones not so much.
Choosing the wrong HA/DR solution might make things worse than having no solution in place. Learn how to avoid being in this situation.

SQL Server Availability options in the year 2024

In the rapidly evolving world of data management, migrating from traditional SQL databases to modern data platforms like Microsoft Fabric is crucial for leveraging advanced analytics and real-time capabilities. This tech session focuses on effective strategies for migrating data from SQL to Fabric, providing practical insights and how to obtain the best performance,

This interactive, demo-based session will equip attendees with the knowledge to:

Migrating SQL Data to Fabric:
Understand the process and best practices for migrating data from SQL databases to Microsoft Fabric, ensuring data integrity and minimal downtime.
Configuring Fabric for Optimal Performance:
Learn how to set up and configure Fabric to handle migrated data efficiently, optimizing for performance and scalability.

Querying Data in Fabric:
Explore the powerful querying capabilities of Fabric, including advanced techniques to retrieve and manipulate data effectively.
By the end of this session, attendees will have a comprehensive understanding of the migration process from SQL to Fabric, empowering them to manage and analyze their data more effectively. Whether you’re a data architect, a database administrator, or a data enthusiast, this session will provide the essential skills and knowledge to successfully transition to and leverage the capabilities of Microsoft Fabric in your data management strategies.

Seamless Data Migration to Microsoft Fabric: Strategies and Best Practices

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In the realm of data analytics, the representation and analysis of interconnected data play a pivotal role in uncovering hidden patterns, relationships, and insights. This talk delves into the intriguing domain of graph semantics within Fabric Real Time Analytics, a powerful and scalable analytics service offered by Microsoft.

The session aims to provide a comprehensive understanding of how graph data structures can be leveraged within Fabric Real Time Analytics to navigate complex relationships inherent in diverse datasets. Attendees will gain insights into the theoretical foundations of graph semantics and its practical applications in real-world scenarios, with a particular focus on optimizing data exploration and analysis.

The discussion will cover key topics such as graph database fundamentals, query languages for graph data, and the integration of graph semantics into the Fabric Real Time Analytics ecosystem. Practical examples and use cases will be presented to illustrate how graph-based approaches can enhance data exploration, uncover hidden dependencies, and facilitate advanced analytics.

Furthermore, the talk will address the seamless integration of graph semantics with other Azure services, showcasing the potential for cross-functional insights and the ability to derive holistic perspectives from interconnected data sources. Attendees can expect to leave with a deeper understanding of how graph semantics can be harnessed to unlock the full potential of their data within the Fabric Real Time Analytics environment.

Whether you are a data scientist, analyst, or a technology enthusiast, this talk offers a valuable opportunity to explore the intersection of graph semantics and Fabric Real Time Analytics, paving the way for more informed decision-making and transformative data discoveries.

Exploring Graph Semantics in Fabric Real Time Analytics: Unveiling Insights through Connected Data

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they’re also surrounded by a lot of hyperbole and confusion. In this presentation, I will give you a guided tour of each architecture to help you understand its pros and cons. I will also examine common data architecture concepts, including data warehouses and data lakes. You’ll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you’ll be able to determine the most appropriate data architecture for your needs.

In addition, I will delve into how Microsoft Fabric can be leveraged within each of these architectures. From integrating data fabrics for enhanced data management and governance, to implementing data lakehouses for streamlined analytics, and establishing data meshes for decentralized data ownership, Microsoft Fabric offers robust solutions and tools. By the end of this presentation, you’ll have a clear understanding of how to use Microsoft Fabric to build and optimize these diverse data architectures, tailored to meet your specific requirements.

Data Architectures and Microsoft Fabric

Organizations globally seek to mature their analytical strategy in order to be more competitive. Recent innovations in technology have opened a wider door to advanced capabilities like predictive or prescriptive analytics. Without data scientists or some form of AI engineer available, this leaves many data engineers being tasked with creating their organization's advanced analytics…without any prior experience.

If this is you, or if you are looking to make a career shift into advanced analytics and don't know where to start, this kick-starter session is for you. We'll clearly define what we mean by advanced analytics, highlighting the differences between that and the analytical solutions you see more regularly in the market. With the end goal defined, we will highlight necessary skillsets that the average data engineer might need, and learning resources to help engineers get started.


Intro to Machine Learning as a Data Engineer

Microsoft Fabric is Microsoft's flagship Software-as-a-Service Analytics service combining Power BI, Data Engineering, Data Warehousing, Realtime Analytics, and Machine Learning.

In this session we'll be diving into the Fabric Link for Dataverse functionality which lowers the technical barriers when allowing data in Dataverse (including Dynamics) to be analysed within Microsoft Fabric.

We'll be looking at the benefits but also what you need to look out for.

The Reality of Fabric Link for Dataverse: What You Need To Know

Explore the cutting-edge capabilities of Microsoft Fabric as we delve into the world of predictive modeling for healthcare. This session, "From Data to Diagnosis," offers a comprehensive guide to using Microsoft Fabric for developing machine learning models that predict diabetes progression. The presentation will cover essential techniques and best practices in data handling, model training, and deployment within the Microsoft Fabric ecosystem.