The Employee Factory

4.9 - Lab: Extracting (Unload) Data from Snowflake to S3 📤🧪
4.9 - Lab: Extracting (Unload) Data from Snowflake to S3 📤🧪
4.8 - Snowpipe: Billing Estimation & Key Considerations for Data Ingestion 💰📊
4.8 - Snowpipe: Billing Estimation & Key Considerations for Data Ingestion 💰📊
4.7 - Lab: Create and Implement Snowpipe in Snowflake 🧪📤
4.7 - Lab: Create and Implement Snowpipe in Snowflake 🧪📤
4.6 - Introduction to Continuous Data Ingestion in Snowflake 🔄🚀
4.6 - Introduction to Continuous Data Ingestion in Snowflake 🔄🚀
4.5 - Lab: Ingest JSON from S3 to Snowflake 🧪📥
4.5 - Lab: Ingest JSON from S3 to Snowflake 🧪📥
004 - Lab: Ingest CSV from S3 to Snowflake 🧪🗂️
004 - Lab: Ingest CSV from S3 to Snowflake 🧪🗂️
003 - Lab: Create an Integration Object to Connect Snowflake with AWS S3
003 - Lab: Create an Integration Object to Connect Snowflake with AWS S3
001 - Section Overview: Snowflake - Data Loading, Ingestion, and Extraction
001 - Section Overview: Snowflake - Data Loading, Ingestion, and Extraction
5.2 - Data Ingestion Section Overview: Snowflake - Data Loading, Ingestion, and Extraction
5.2 - Data Ingestion Section Overview: Snowflake - Data Loading, Ingestion, and Extraction
4.9 - Snowflake Search Optimization Feature: Improve Query Performance
4.9 - Snowflake Search Optimization Feature: Improve Query Performance
4.6 - Lab: Selecting Your Clustering Keys in Snowflake
4.6 - Lab: Selecting Your Clustering Keys in Snowflake
4.8 - Lab: Query Processing and Caching in Snowflake
4.8 - Lab: Query Processing and Caching in Snowflake
5.1 - Data Ingestion Section Overview: Snowflake - Data Loading, Ingestion, and Extraction
5.1 - Data Ingestion Section Overview: Snowflake - Data Loading, Ingestion, and Extraction
4.4 - Lab: Micro-partitions and Clustering Keys in Snowflake
4.4 - Lab: Micro-partitions and Clustering Keys in Snowflake
4.7 - Lab: Check Query Profile and History in Snowflake
4.7 - Lab: Check Query Profile and History in Snowflake
4.5 - Understanding Clustering Depth and Cluster Overlap in Snowflake
4.5 - Understanding Clustering Depth and Cluster Overlap in Snowflake
4.3 - Benefits of Micro-partitions and Clustering in Snowflake 🌐
4.3 - Benefits of Micro-partitions and Clustering in Snowflake 🌐
3.2 - Lab: Create Tables in Snowflake
3.2 - Lab: Create Tables in Snowflake
3.3 - Snowflake: Views, Materialized Views, and Secure Views
3.3 - Snowflake: Views, Materialized Views, and Secure Views
3.5 - Lab: Create Secure Views in Snowflake
3.5 - Lab: Create Secure Views in Snowflake
3.4 - Lab: Create Views in Snowflake
3.4 - Lab: Create Views in Snowflake
3.1 - Introduction: Different Types of Tables in Snowflake
3.1 - Introduction: Different Types of Tables in Snowflake
3.6 - More About Views in Snowflake
3.6 - More About Views in Snowflake
4.2 - Introduction to Partitions and Clustering Keys in Snowflake
4.2 - Introduction to Partitions and Clustering Keys in Snowflake
4.1 - Section Overview: Data Warehousing and Engineering with Snowflake
4.1 - Section Overview: Data Warehousing and Engineering with Snowflake
2.9 - Snowflake: Resource Monitors
2.9 - Snowflake: Resource Monitors
2.8 - Snowflake: Track Your Consumption
2.8 - Snowflake: Track Your Consumption
2.7 - Snowflake: Understanding Different Billing Components
2.7 - Snowflake: Understanding Different Billing Components
2.6 - Snowflake Virtual Warehouses: Powering Scalable Compute
2.6 - Snowflake Virtual Warehouses: Powering Scalable Compute
2.5 - Snowflake Object Hierarchy: Understanding the Structure
2.5 - Snowflake Object Hierarchy: Understanding the Structure