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Making Successful Decisions through the Strategy, Law & Ethics Model
The Science of Well-Being
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Explore transitioning from bulk loading to streaming data integration, leveraging Azure services for real-time analytics and long-term storage in data warehousing.
Discover key pitfalls to avoid when deploying data platforms with Terraform, drawing from real-world corporate experiences and lessons learned.
Optimize SQL Server on Azure VM: Learn VM types, storage configuration, and unique Azure features for enhanced performance within budget.
Explore Polybase for true data virtualization in SQL Server. Learn its uses, benefits, and implementation through expert insights and practical demonstrations.
Explore types of depression, identification methods, and treatment options, including personal experiences and effective strategies for managing mental health.
Enhance Power BI governance using Microsoft Purview. Learn about data catalog, mapping, lineage, DLP, lifecycle management, and information protection through live demos and best practices.
Implement advanced Power BI refresh scheduling patterns using ADF/Synapse, overcoming limitations and leveraging external orchestration tools for improved data management.
Discover techniques to prevent malicious users from exploiting power user permissions through permission hijacking, ensuring robust database security.
Discover how to build and scale multi-tenant SaaS apps using Azure Cosmos DB for PostgreSQL's unique features for optimized infrastructure cost, isolation, and performance.
Explore the evolution of hearing technology and learn techniques for delivering more accessible presentations.
Explore Power BI slicers and filters, their differences, use cases, pros and cons, and best practices for effective report design.
Explore how modern security features can be implemented in older SQL versions, challenging the notion that security is tied to specific updates.
Explore Azure Data Explorer setup and usage through practical examples in this introductory session on modern analytics and big data engineering.
Explore a comprehensive checklist for migrating data solutions to the cloud, covering planning, evaluation, discovery, assessment, architecture, costs, migration, and post-migration steps.
Automate workflows across applications without coding. Learn to create efficient, time-saving processes using Microsoft's cloud-based tool.
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