
Explore SQL Notebooks in Azure Data Studio for DBAs: simplify workflows, run diagnostic queries, and leverage powerful features for daily database management tasks.

Explore Microsoft's Azure Data Platform: Leverage SQL and Azure skills, new tools, and platforms to transform data into business insights and predictions in a comprehensive virtual environment.

Explore SQL Server 2022's advanced hybrid capabilities, including cloud-connected disaster recovery, real-time analytics, and enhanced security features for seamless integration with Azure services.

Explore SQL Server 2022's new features: cloud connectivity, disaster recovery, analytics, security enhancements, and T-SQL extensions. Learn about Intelligent Query Processing and SQL Server Ledger with live demos and expert Q&A.

Explore techniques for analyzing large Ftrace datasets using Big Data tools, enabling fast and easy scripting for sophisticated problem-solving in low-level tracing.

Explore the intersection of Linux, IoT, and personal technology in this comprehensive conference session, delving into cutting-edge developments and practical applications.

Analyzing Linux kernel's email-based development process, focusing on patch evolution, mailing list data, and insights to improve efficiency and quality in open-source collaboration.

Explore cutting-edge developments in Internet of Things technology and its integration with Linux systems in this comprehensive conference session.

Explore efficient analysis of historical DejaGNU test results using the Bunsen toolkit, enhancing software testing processes and improving data interpretation.

Discover how machine learning impacts Swift development, exploring techniques, tools, and resources. Learn to leverage iOS for data gathering and model implementation using native code.

Learn to integrate C, C++, and Objective-C frameworks into Swift projects, expanding your app development possibilities. Discover setup techniques, memory management, and leveraging existing libraries for unique Swift applications.

Comprehensive introduction to Apple's Combine framework, covering reactive programming concepts, key components, and practical applications in iOS development.

Practical introduction to Swift Expression Macros, exploring their implementation, benefits, and potential applications. Learn how to use macros effectively to extend Swift's capabilities without compromising code readability.

Practical insights on developing a Deep Learning Android app, from data collection to production deployment using TensorFlow, with tips on choosing the right approach and best practices.

Explore integrating TensorFlow models into Java enterprise environments, covering deployment, version control, and integration with popular server frameworks like Spring and Apache CXF.

Explore the transformative potential of IoT data and AI in industry, focusing on Reinforcement Learning for industrial control tasks, from energy management to product quality optimization.

Explore strategies for building data pipelines from scratch, leveraging open data, web-sourced information, and collected data to create innovative data products that address customer needs in data-scarce environments.

Discover how deep learning and modern ML tools were used to create a multilingual job recommender system, revolutionizing job matching for a public employment service.

Explore China's Social Credit Systems: gamification, big data, and AI for behavior rating. Examine societal impacts and global implications of tech-driven social control.

Strategies for businesses to quickly adopt AI, focusing on data collection, management involvement, and model capabilities. Proposes an embedded approach for efficient implementation and scaling.

Practical guidelines for organizing, tracking, and collaborating on data science projects, covering code management, metrics tracking, and effective communication between teams.