Azure Snowflake Architect

Developing Virtual Warehouse Deployment Strategy Materialized Views
Creating Materialized View Use Cases and Query Acceleration Service
Handling Outbound Notifications and Snowflake Alerts
Ensuring Observability Within Snowsight
Managing Budgets and applying Data Security Framework
Classifying Data and Identifying Data Sensitivity
Designing Logical Data Architecture (Layers) and Physical Architecture Options
Considering Database options and providing reference options
Summarizing and making Recommendations
Using Snowflakeu2019s recommended best practices for performance tuning
Deploying data and account replication for data sharing and failover scenarios
Creating and deploying administrative jobs using Snowflake stored procedures and functions
Managing multiple accounts across the company using Snowflake Organization
Employing data recovery methods using Time Travel and zerocopy cloning
Examining the tradeoffs associated with the available environment and Snowflake Account deployment options
Using the Snowflake Data Security Framework to balance data protection and access
Applying Snowflake best practices for data ingestion transformation and end user queries
Analyzing Snowflake metadata to identify performance and cost issues
Configuring and implementing Snowflake
Integrating Snowflake with technologies such as Azure SQL Database Tableau
Importing external datasets using Snowflake marketplace
Creating Enterprise level Datamart
Enabling R/Python modeling with Snowpark.