The Employee Factory

4.9 - Lab: Extracting (Unload) Data from Snowflake to S3 📤🧪

4.8 - Snowpipe: Billing Estimation & Key Considerations for Data Ingestion 💰📊

4.7 - Lab: Create and Implement Snowpipe in Snowflake 🧪📤

4.6 - Introduction to Continuous Data Ingestion in Snowflake 🔄🚀

4.5 - Lab: Ingest JSON from S3 to Snowflake 🧪📥

004 - Lab: Ingest CSV from S3 to Snowflake 🧪🗂️

003 - Lab: Create an Integration Object to Connect Snowflake with AWS S3

001 - 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

4.6 - Lab: Selecting Your Clustering Keys in Snowflake

4.8 - Lab: Query Processing and Caching in Snowflake

5.1 - Data Ingestion Section Overview: Snowflake - Data Loading, Ingestion, and Extraction

4.4 - Lab: Micro-partitions and Clustering Keys in Snowflake

4.7 - Lab: Check Query Profile and History in Snowflake

4.5 - Understanding Clustering Depth and Cluster Overlap in Snowflake

4.3 - Benefits of Micro-partitions and Clustering in Snowflake 🌐

3.2 - Lab: Create Tables in Snowflake

3.3 - Snowflake: Views, Materialized Views, and Secure Views

3.5 - Lab: Create Secure Views in Snowflake

3.4 - Lab: Create Views in Snowflake

3.1 - Introduction: Different Types of Tables in Snowflake

3.6 - More About Views in Snowflake

4.2 - Introduction to Partitions and Clustering Keys in Snowflake

4.1 - Section Overview: Data Warehousing and Engineering with Snowflake

2.9 - Snowflake: Resource Monitors

2.8 - Snowflake: Track Your Consumption

2.7 - Snowflake: Understanding Different Billing Components

2.6 - Snowflake Virtual Warehouses: Powering Scalable Compute

2.5 - Snowflake Object Hierarchy: Understanding the Structure