AI & Data
Snowflake SnowPro Core: Secure Data Sharing
Snowflake Secure Data Sharing allows providers to expose selected database objects to other Snowflake accounts without copying the underlying data…
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AI & Data
Snowflake SnowPro Core: Query Performance Tuning
Snowflake removes much of the traditional database administration around indexes and static partitions, but it does not remove the need…
AI & Data
Snowflake SnowPro Core: Micro-Partitions & Query Pruning
Snowflake automatically stores table data in micro-partitions rather than requiring users to define traditional static partitions. Each micro-partition is a…
AI & Data
Snowflake Advanced Architect: Snowflake Multi-Account Architecture
A Snowflake organization can contain multiple accounts across regions and cloud platforms. Multi-account design is useful when an enterprise needs…
AI & Data
Snowflake Advanced Architect: Snowflake Data Governance
Data governance in Snowflake is the combination of ownership, classification, access control, policy enforcement, lineage, auditing, and lifecycle practices that…
AI & Data
Databricks ML Associate: Production Model Monitoring
A machine learning model can remain technically available while becoming less useful. Input populations change, source pipelines drift, labels arrive…
AI & Data
Databricks ML Associate: MLOps Workflows
MLOps is the set of engineering practices that makes machine learning development repeatable from experiment through production. In Databricks, that…
AI & Data
Databricks ML Associate: Feature Engineering
Feature engineering turns raw operational data into variables that machine learning models can learn from. The technical transformations may be…
AI & Data
Databricks ML Associate: MLflow Experiment Tracking & Model Registry
Machine learning development is iterative. Engineers change training data, features, parameters, algorithms, code, and environments, and each choice can affect…