Articles & Resources
Explore our articles and resources on data and analytics.
Snowflake’s Best Practices for Data Warehouse Development
By implementing Snowflake’s best practices, it becomes possible to better understand and articulate your data warehouse’s overall structure and layout.
Top 5 performance best practices with Snowflake
The Snowflake Data Platform is designed for scale, efficiency, and ease of use. It supports an unlimited number of Virtual Data Warehouse clusters that offer shared access for optimal performance.
Top 5 Benefits to Centralized Data
With the enormous revenue potential tied to digitization, data management is becoming even more critical, reaching an all-time high in demand for enterprise data management initiatives.
Success with Snowflake will lead to building a data foundation that future initiatives can build on to further advance and grow the organization’s data and analytics capabilities.
Five ways Financial Services Can Benefit from a Cloud Data Platform like Snowflake
Cloud computing and its capabilities have become an essential part of supporting financial services organizations, as many are launching digital transformation initiatives.
Snowflake ELT vs. ETL
There are two main data movement processes for the Snowflake data warehouse technology platform. Extract, Transform, and Load (ETL) vs. Extract, Load, and Transform (ELT).
How Snowflake Delivers A Single Data Experience Across Multiple Clouds And Regions
Snowflake’s core architecture is built on a multi-tier cloud data platform that scales independently. Snowflake’s multi-cluster shared data architecture consolidates data warehouses, data marts, and data lakes into a single source of truth that enables any data workload on any cloud with a simple, powerful, and flexible platform.
How can the Snowflake Cloud Data Platform transform your organization? Part 2
One platform to build your data apps.