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Implementing Row-Level, Column-Level, and Dynamic Data Masking
Managing granular permissions with T-SQL
Using the Fabric Capacity Metrics App
Monitoring activity with DMVs and Query Insights
Microsoft Certified Trainer with extensive expertise in SQL Server and Azure Data Platform, including integration services, data models, and cloud migration. Skilled in Azure SQL administration, Transact-SQL querying, Fabric Analytics, Lakehouse implementation, and data warehouse development. Experienced in designing and leading Azure Data Fundamentals training.
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The Oracle Cloud Infrastructure (OCI) Architect Associate course introduces core cloud concepts, OCI global architecture, and identity management using compartments, policies, and IAM. It covers networking with Virtual Cloud Networks (VCNs), subnets, gateways, routing, and hybrid connectivity options like FastConnect and VPN. Compute services include virtual machines, bare metal, and custom images, supported by storage options such as block, object, file, and NVMe. Database offerings include Autonomous Database, DB Systems, and Exadata for high performance and automation. The course also explains load balancing, DNS, WAF, monitoring, logging, events, and notifications for secure and resilient architectures. Resource Manager (Terraform), data transfer, streaming, and analytics services are introduced alongside cost management tools like budgets and usage reports. Emphasis is placed on designing highly available, secure, and cost-optimized solutions while following best practices, preparing learners to architect and implement solutions effectively on OCI.
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We will be focussing on implementing robust security and observability practices in Microsoft Fabric Data Warehouses. We will learn how to protect sensitive information through Row-Level Security (RLS), Column-Level Security (CLS), and Dynamic Data Masking, ensuring fine-grained access control and compliance. The session will also cover monitoring strategies using the Fabric Capacity Metrics App, Dynamic Management Views (DMVs), and Query Insights to proactively track performance and usage trends
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