Cloud Data Driven

Presentation Title: Delta Table Optimization - Improving Queries using Delta Partitioning and Liquid Clustering

Description:

Data volumes are skyrocketing, and with every new project, the pressure is on for data engineers to deliver snappy queries over ever-growing datasets. In this session, we’ll dive deep into how Delta Lake’s partitioning and Liquid Clustering capabilities can transform query performance in Microsoft Fabric. We’ll put these optimizations to the test against a massive dataset—millions (or even billions!) of rows—to demonstrate real-world impacts on speed and efficiency.

You’ll explore the nuts and bolts of Delta partitioning to ensure your data is stored in the most optimal way, reducing query overhead and slashing runtimes. Then we’ll crank it up a notch with Liquid Clustering, an advanced feature that automatically reorganizes your data for blazing-fast analytics.

Finally, we’ll show how to integrate these Delta optimizations into your Microsoft Fabric Lakehouse, so you can power dashboards, reports, or machine learning pipelines with near real-time insights—without those dreaded performance bottlenecks.

By the end of this session, you will:
🔹 Understand how and why Delta partitioning supercharges query performance
🔹 Harness Liquid Clustering in Delta Lake to keep your data lean, mean, and query-ready
🔹 Integrate partitioned and clustered Delta tables seamlessly with Microsoft Fabric for next-level analytics

Brace yourself: this session may contain dangerously optimized partition strategies and an overdose of high-speed query demos! If you’re a data engineer looking for hands-on techniques to crush query latencies and boost productivity in Microsoft Fabric, this is your must-attend deep dive. Get ready to leave your old, slow queries in the dust.

Presentation Title: AI Governance: Navigating the Complexities of AI Governance Across Industries

Description:
As artificial intelligence becomes a cornerstone of innovation across industries, the need for robust governance and compliance frameworks has never been more urgent.

But how do we balance the promise of AI with the risks it poses to privacy, fairness, and ethical integrity? This session explores the evolving landscape of AI governance, offering practical strategies to help organizations and leaders navigate emerging regulations and implement responsible AI practices.

Attendees will leave with a clear understanding of how thoughtful AI regulation can enable innovation while protecting people and organizations from harm.

Presentation Title: A Database Designer's Favorite Security and Privacy Features in SQL Server/Azure DB

Description:
SQL Server and Azure DB include multiple features that focus on data security, privacy, and developer productivity. In this session, we will review the best features from a database designer's and developer's point of view.
- Always Encrypted
- Dynamic Data Masking
- Row Level Security
- Data Classification
- Assessments
- Defender for SQL Server
- Ledger Tables
...and more

We'll look at new and older features, why you should consider them, where they work, where they don't, who needs to be involved in using them, and what changes, if any, need to be made to applications or tools that you use with SQL Server.

You will learn:
- The pros and cons of implementing each feature
- How implementing these new features may impact existing applications
- 10 tips for enhancing SQL Server security and privacy protections