<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
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<p>
    <b>Where:&nbsp;</b>Live Stream Event
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Future Data Driven Summit 2024

Room v2

Terraform lowers the bar to entry for adopting Infrastructure as Code. However, to really get the most out of it we need to look at more advanced patterns and practices to really operationalise it and realise the value when managing infrastructure at scale.

In this session we will look at how to leverage some of the more advanced features of terraform by building our own reusable  modules. As well as built in functions and techniques to ensure a maintainable codebase. Finally, looking at how to automate deployments as part of a wider platform deployment including databases and application code in Microsoft Azure.

Defining and Deploying a Data Platform with Terraform.

LinkedIn

This session highlights the key capabilities of Google Cloud’s Generative AI's (GenAI) includes Vertex AI portfolio, including Vertex AI Model Garden, Vertex AI Platform, Vertex AI Search, and Vertex AI Conversation, previously use to be GenAI App Builder. It also introduces the recently launched Vertex AI Gen AI APIs and Vertex AI model garden. The session provides an overview of the different tools and services offered by the Vertex AI portfolio, how they can be used to build and deploy generative AI models, and how they can help businesses solve a variety of use cases. Also we would Unlock the potential of Vertex AI's Gen AI models through an interactive demo that showcases all the latest GenAI offerings.

Unlocking the Power of Generative AI with Google Cloud GenAI

X (Twitter)

Facebook

In today's rapidly evolving digital landscape, security teams and application owners are the unsung heroes safeguarding organizations' most valuable assets.

This session is designed to arm attendees with the advanced tools and methodologies needed to strengthen organization's data defenses. In keeping with the dynamic nature of data security, the session content includes the latest features and advancements in the field to the day of the event.

Led David Trigano, Director of Product Management at Deep Instinct, we delve into the intricacies of modern data security challenges and unpack state-of-the-art solutions. We will cover advanced best-practices, real-time threat detection, secure data architecture, and compliance strategies that align with global data protection standards. Through practical demonstrations, interactive discussions, and sharing cutting-edge research, this session aims to elevate attendees’ expertise in securing multi-cloud datastores against sophisticated cyber threats and ensuring data integrity and confidentiality.

How to effectively secure and protect sensitive data

This session will share an overview of the SQL Tools offered by Microsoft. It focusses on SQL development using SQL Server Data Tools in Visual Studio, talks about the convenience of using SQL projects. It digs into how SQL Projects can offer different deployment options and integrate into the CI/CD pipeline. It talks about how to use GitHub Copilot for SQL and shares intelligent insights on how AI can aid regular database development. 

Developer tools for SQL in Visual Studio- from AI to DevOps

Twitter

In the fast-evolving landscape of big data, frequent system migrations pose significant challenges, particularly in code conversion and adoption of new data processing engines. This presentation addresses the inefficiencies of manual code migration processes faced by big data teams, emphasizing the need for scalability and faster adoption rates. We propose an innovative approach that utilizes Gen AI and cloud services such as AWS Bedrock, Redshift, Glue, Athena, and S3, coupled with robust automated testing mechanisms. Our methodology has proven effective, demonstrating a 75% reduction in the time and effort required for code conversion and testing during migrations. We will also explore further applications of this strategy across the big data domain, highlighting its potential to significantly enhance operational efficiency for big data teams.

The Future of Big Data with Gen AI: Accelerating System Migration and Boosting Efficiency

As we stand at the cusp of an AI renaissance, it's clear that AI-enabled applications are becoming the new norm - from personal devices to the scale of cloud. Yet, it's not the technology alone that sets you apart — it's how you leverage it with your unique datasets. Your data is the key to delivering personalized experiences that your competitors simply cannot replicate. In this era, AI is the great equalizer, but your data is the ultimate differentiator.

The fusion of Generative AI with Azure SQL Database is not just about building applications; it's about creating experiences that are as unique as your data. It's time to step into the future and redefine what's possible with AI, and your business data.

AI, the Equalizer; Data, the Differentiator

After loading all of your data into OneLake, you might be wondering how to ensure its quality. In this session, we’ll explore and demonstrate how Soda can help you monitor data quality with automated data testing and alerting, write and monitor data contracts, and browse data quality metrics in a user-friendly dashboard.

From Flat to Sparkling: Monitoring Data Quality with Soda in Microsoft Fabric

Power BI is an interactive data analytics platform that allows users to create reports, dashboards, and visualizations from a variety of data sources. It is widely used for data visualization and exploration, as well as business decision-making. Semantic links are a key component of Power BI. They enable business analysts and data scientists to collaborate seamlessly and reduce data inconsistencies. Semantic links provide connectivity to semantic models via the Pandas ecosystem (Python) and the Spark native connector that supports PySpark, Spark SQL, R, and Scala. 
This session will demonstrate how semantic links facilitate collaboration between business analysts and data scientists, while ensuring data consistency across semantic models


Bridge the gap between Power BI and Data Engineering with Semantic links

In today's rapidly evolving business landscape, organizations are increasingly turning to data analytics to drive process improvement and optimization. By leveraging the power of data analytics, organizations can identify inefficiencies, streamline operations, and drive continuous improvement across various industries and business functions.

Once inefficiencies are identified, data analytics can be used to streamline operations and improve process efficiency. This can involve optimizing resource allocation, reengineering workflows, or automating repetitive tasks. Furthermore, data analytics enables organizations to drive continuous improvement by providing real-time insights into process performance. This continuous feedback loop allows organizations to iteratively improve processes over time, leading to significant gains in efficiency and effectiveness.

However, implementing data analytics for process improvement and optimization is not without its challenges. Organizations must ensure that the data used for analytics is accurate, complete, and up to date, as poor data quality or lack of data availability can lead to unreliable insights and suboptimal decision-making. Additionally, integrating data analytics into existing systems and processes can be challenging, requiring strong alignment between business goals, analytics initiatives, and operational processes.

Despite these challenges, the benefits of leveraging data analytics for process improvement and optimization are substantial. By bridging the gap between data analytics and process improvement, organizations can stay ahead of the competition, drive operational excellence, and deliver superior value to customers.

Leveraging Data Analytics for Process Improvement & Optimization

Embark on an adventure through the vital ingredients and methods required to construct visually striking and highly effective reports, guaranteeing a flawless experience for your audience.

The standard report experience tends to overwhelm users with excessive buttons, icons, pop-ups, and interactions. Many of these default features can be perplexing, dysfunctional, or even result in data misrepresentation. To streamline the user experience, thoughtful attention must be devoted to aspects such as visual header icons, filters and slicers, visual interaction types, and page or drillthrough navigation.

Moreover, selecting the perfect visual to narrate a story, determining which report elements (titles, labels, chart elements) best elucidate the data, and designing report page layouts that follow a logical progression, all involve a blend of science, art, and a touch of enchantment.

Upon completing this presentation, you'll possess a winning formula for converting your Power BI reports into tailored masterpieces that appeal to your audience's unique tastes and inclinations. Ignite your inner data connoisseur and elevate your reporting prowess to unparalleled levels with this mouthwatering session on Power BI report design and user experience.