
Explore ETL monitoring from Azure to Snowflake using ADF, Splunk, and Power BI. Learn data lineage and observability techniques for efficient pipeline management.

Explore MLOps at scale through a case study on predicting bus departure times using 18,000 ML models. Learn practical insights for implementing large-scale machine learning projects.

Explore key ML, DL, RL, and Graph Analytics use cases in Retail, with a demo of Microsoft Azure AI platform's MLOps capabilities in a Retail environment.

Explore Microsoft's Cognitive Services for easy AI integration. Learn pre-built AI applications, their use cases, and how to leverage them in your development projects.

Discover recent updates and new features in Azure Synapse Analytics for end-to-end analytics, with practical demonstrations and scenario-based applications.

Explore transitioning from bulk loading to streaming data integration, leveraging Azure services for real-time analytics and long-term storage in data warehousing.

Explore tools for combining data from multiple sources, including Azure Synapse, Spark, and Power BI Data Flows. Learn to select the optimal tool for your data environment.

Explore ES|QL, Elasticsearch's new query language combining SQL and Bash, for improved performance and seamless integration across Java and Kibana.

Explore how evolving cloud workloads and AI/ML applications are reshaping storage technologies, driving innovation in HDDs, Flash, and archival media to meet future cloud storage demands and scale requirements.

Dive into Azure's next-generation block storage architecture, exploring Direct Drive's innovative design, Ultra Disk capabilities, and solutions for cloud-scale storage challenges.

Dive into Azure Block Storage's unique capabilities, exploring XStore architecture, instant disk recovery with CoR technology, and multi-protocol support for SCSI and REST access.

Discover all the free Azure services available, from 12-month trials to permanent free tiers, student offerings, and Visual Studio subscriptions, plus essential cost optimization tips.

Discover how to build a centralized data platform using Azure services, integrating social media data through Data Lake, Databricks, and Power BI for comprehensive analytics and reporting.

Discover how vector databases are being integrated into university curricula and online learning platforms, with insights on implementing RAG patterns and scaling database education.

Comprehensive Azure cloud training covering virtual machines, storage, networking, databases, and app services. Hands-on labs and practical projects for in-depth learning.

Explore enterprise-level security practices for Azure Databricks, covering RBAC, network isolation, and Azure-specific features to deploy and manage secure analytics and AI environments.

Explore IoT and AI with NVIDIA Jetson, featuring Microsoft's Paul DeCarlo. Learn about cloud-powered app development, video analytics, and integrating Jetson with Azure for intelligent edge computing solutions.

Explore Azure's diverse data services, from SQL Database to Databricks, understanding their purposes and use cases to make informed choices for your data management needs.

Explore Python and PySpark in Azure Databricks: from basic concepts to advanced techniques, including DataFrame API, ML scaling, and data visualization.

Explore digital twin visualization using Unreal Engine, covering IoT sensors, particle systems, and the ADTLink plugin for real-time data analysis and optimization of 3D models.

Explore cloud computing with Azure for faster, reproducible data science research. Hands-on labs cover deep learning, NLP, ML deployment, and more across various scientific disciplines.