The article discusses challenges data engineers face with late or out-of-order data affecting dimensional models. It introduces Snowflake’s Dynamic Tables, which streamline the management of such data issues without requiring complex resets. The author shares a practical demo using JSON records from a CRM to illustrate the effectiveness of Dynamic Tables in processing evolving customer data.
Tag Archives: sql
Streamline Snowflake Queries: Filter Columns with ILIKE Patterns
The post discusses the challenges of querying large data tables, particularly with similarly named columns. It introduces the ILIKE keyword in Snowflake for case-insensitive searches to simplify SQL queries. The author provides a practical SQL example using weather data, highlighting the efficiency of ILIKE in reducing query costs by targeting specific column patterns.
Streamlit in Snowflake: Building a Dynamic Pivot Query App with Selectable Criteria
This article describes how to create a Streamlit app within Snowflake that builds on a previous dynamic pivot query tutorial. It covers creating a view from a Common Table Expression, setting up select boxes for user input, and executing a dynamic SQL query to display results in a data frame for easy visualization.