Give Power BI to the People - Securely Share Your Insights
Discover secure Power BI data sharing strategies, governance planning, and collaboration techniques to empower your organization while avoiding potential data breaches and privacy risks.
Securing Your Data in Azure - Tips and Tricks
Comprehensive guide to Azure security features, covering SQL Database, Key Vault, blob storage, CosmosDB, and Power BI. Learn to protect data, manage access, and implement best practices for secure data handling in Azure.
So, You Want to Be an Azure Data Engineer When You Grow Up?
Explore Azure Data Engineer role: certifications, skills, and duties. Learn about storage, security, DevOps, and automation. Gain insights for certification exams and career advancement in cloud data engineering.
Data Governance for Beginners
Learn data governance basics for Microsoft Data Platform, including master data management and data stewardship. Discover practical steps for implementation and documentation to enhance organizational data value.
Microsoft Power BI for the Data Engineer
Explore Power BI's capabilities for enterprise-grade insights, performance, governance, and security over massive datasets. Learn simplified data modeling and visualization techniques for actionable insights.
Navigating Row Level Security
Explore fine-tuned data access with Row Level Security in SQL Server, covering implementation patterns, scaling solutions, and practical tips for sensitive information management.
Moving Data to the Cloud with Azure Data Factory
Explore Azure Data Factory for efficient cloud data migration, covering variables, looping, Integration Runtime, file uploads, triggers, and secure credential management with Azure Vault.
Unmapped Private Memory for Confidential Guests
Explore advanced techniques for enhancing privacy and security in virtualized environments through unmapped private memory implementation for confidential guests.
Securely Booting Confidential VMs with Encrypting Disk
Explore secure boot options for confidential VMs with encrypted disks, discussing challenges and solutions for various TEEs. Gather feedback to define a standardized, secure, and maintainable mechanism.
Taming Data - State Challenges for ML Applications and Kubeflow
Explore challenges and solutions for managing data and state in ML applications using Kubeflow, covering storage APIs, data security, and scalability for large-scale AI/ML environments.
Running Machine Learning Workloads on a Service Mesh
Explore integrating JupyterHub with Istio ServiceMesh on Kubernetes to enhance security, resilience, and observability for machine learning workloads, addressing data security challenges.
Data Security - Theoretical and Real World Approaches to Compartmentalization
Explore theoretical and practical approaches to data security in cloud environments, covering formal methods, secure languages, and container-based storage solutions for enhanced protection and reliability.
High Performance Privacy By Design Using Matryoshka & Spark
Learn high-performance privacy-by-design techniques using Matryoshka and Spark for scalable data protection in Scala applications.
Pictures of You, Pictures of Me, Crypto Steganography
Explore crypto steganography's history, applications, and math through a personal anecdote involving hidden messages in pop culture images, culminating in an unexpected Olympic victory.
Node JS Authentication and Data Security
Explore secure authentication and data protection in Node.js, covering OAuth 2, OpenID Connect, middleware services, hashing algorithms, and common pitfalls to build robust user and data security infrastructure.
Preparing the Long Journey for Data Security
Explore global data security trends, legislation, and industry-specific strategies. Gain insights into the evolving landscape of data protection and its impact across sectors.
Your Security is Arriving - Uber and Data
Learn how Uber manages data security across teams, partners, and regulators. Gain insights into shared responsibility for protecting user information in the ride-sharing industry.
.NET Data Security - Hope is Not a Strategy
Learn essential .NET data security techniques including encryption, hashing, and digital signatures to protect sensitive information and ensure data integrity in your applications.
Keep You Data Safe in a Containerized Application
Explore challenges and solutions for persisting data in containerized applications, focusing on Docker runtime and proven techniques for modern, scalable systems.
Security and Microservices
Explore microservices security: defense in depth, distributed architecture protection, and strategies to enhance data safety while minimizing attack surfaces.
.NET Data Security - Hope is Not a Strategy
Learn essential .NET data security techniques including encryption, hashing, and digital signatures to protect sensitive information and ensure data integrity in your applications.