Iceberg
Apache Iceberg, an open-source table format for data lakes. This guide covers core concepts, features like ACID transactions and time travel, and implementation on platforms like Spark and Snowflake.
Iceberg and Snowflake Integration
Learn how to integrate Apache Iceberg with Snowflake, covering key concepts like external tables, time travel, and file management, along with practical implementation examples and best practices.
PowerBI and Snowflake Integration
This blog will explore how to effectively integrate Power BI with Snowflake, focusing on best practices and technical details from the provided documents. It aims to help users understand the process and optimize their data analytics workflows.
DBT
This article explores the types of tests in dbt (data build tool), including generic tests, dbt_utils package tests, and custom tests. It provides an overview of each type of test, their purpose, and how to use them effectively to ensure data quality and integrity.
dbt and Snowflake Integration
This article explores the integration of dbt with Snowflake, a comprehensive guide to using dbt with Snowflake. It covers the main concepts of dbt, including models, materializations, sources, tests, documentation, macros, and packages. It also discusses Snowflake-specific features like zero-copy cloning, time travel, and tasks. Additionally, it covers advanced concepts like incremental models, snapshots, seeds, and custom materializations. Finally, it provides best practices for using dbt with Snowflake.
DBT and Snowflake Native app
DBT and Snowflake Native app, how dbt works as a full functional Snowflake native app.
