AI is reshaping NetOps from scripted automation to intelligent, data driven workflows. We will show uses: incident triage, knowledge retrieval, traffic analysis, prediction, and contrast legacy monitoring with ML, NLP, and LLMs. See how RAG, text to SQL, and agent workflows enable real time insights across hybrid data. We will outline data pipelines and MLOps, address accuracy, reliability, cost, compliance, and weigh build vs buy. We will cover API integration and human in the loop guardrails.

In this course, you will learn basic skills that will allow you to use the Databricks Data Intelligence Platform to perform a simple data engineering workflow and support data warehousing endeavors. You will be given a tour of the workspace and be shown how to work with objects in Databricks such as catalogs, schemas, volumes, tables, compute clusters and notebooks. You will then follow a basic data engineering workflow to perform tasks such as creating and working with tables, ingesting data into Delta Lake, transforming data through the medallion architecture, and using Databricks Workflows to orchestrate data engineering tasks. You’ll also learn how Databricks supports data warehousing needs through the use of Databricks SQL, DLT, and Unity Catalog.

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL queries.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

JoinMicrosoft’s product team for a hands-on lab where you'll design and deploy anAI-powered application using SQL Database in Microsoft Fabric. This sessiondives into HTAP capabilities, enabling seamless transactional and analyticalprocessing. You'll provision a SaaS-native SQL Database, use Copilot togenerate schema and queries, and implement advanced patterns like RAG withvector search. Walk away with practical skills and a working solution you canapply immediately.

With Eon on Azure, backups don’t just sit idle—they become a first-class data source. Eon transforms cloud backups into Iceberg tables in Blob Storage, instantly queryable through Microsoft Fabric and OneLake. Learn how backup data flows into Fabric engines like SQL, Spark, and KQL, and how it fuels AI innovation with Azure OpenAI. See how organizations can collaborate more effectively by unifying protection, analytics, and AI on Eon’s data lake.

Unify your data warehouse and operational store for real-time insights. Use new innovations in Bigtable SQL and BigQuery.

Unlock the next level of performance and scalability with Azure Databases—engineered for speed, reliability, and seamless integration across your stack. At Ignite, Shireesh Thota, CVP of Azure Databases, will unveil breakthrough features and releases for Azure Databases, SQL Server 2025, and Fabric Databases for SQL and Cosmos DB. Get an inside look at how these advancements empower you to build and deploy cutting-edge applications and AI agents—faster, smarter, and at enterprise scale.

Power BI Desktop bietet Datenaktualisierung bis in den Bereich von Sekunden an. Dazu dient in der Datenquellenkonfiguration die DirectQuery.

Die Session beginnt mit dem Anbinden von Azure SQL-DBs und zeigt anschließend die Unterschiede und Feinheiten zu Databricks als Datenquelle.

Dies beginnt beim Erstellen von Databricks DBs, geht weiter zur Notebook Konfiguration und beinhaltet auch die Authentication zu Databricks-Clustern.

Team up with an AI agent to compete at this popular board game! Discover how Vertex AI, Memorystore, and Cloud SQL with different models, prompts, and tools can ultimately lead to victory.

AI applications demand real-time, high-fidelity data at massive scale. Traditional databases can’t keep up. Join us to learn how TiDB Cloud on Azure, a distributed SQL database built for both transactions and analytics, integrates seamlessly with Fabric to unlock new possibilities for AI and agentic workloads. Whether you’re a developer, data architect, or IT leader, you’ll leave with a clear view of how to build intelligent, data-driven applications on Azure that scale with your ambitions.