Boost dbt using dbt-codegen
dbt-codegen is a set of macros that generates dbt code and logs it to the command line, simplifying the task of writing repetitive dbt code.
Category Data Warehousing
dbt (Data Build Tool)
Overview: What is dbt and what can it do for your data pipeline? One tool that we recommend and often use is dbt (data build tool), which focuses on simplifying and accelerating the process of data transformation. In this blog,…
What is Data Modeling?
Short answer ✅ Organizing data so that it becomes understandable to work with. Long Answer ⏩ All software applications that rely on data have a data model. Depending on the goal the application serves, it needs a specific type. When people…
Why Start with a Dashboard?
Introduction In today’s data-driven world, businesses are constantly seeking ways to leverage the power of data for insights and decision-making. One popular approach is building a dashboard, a visual representation of key metrics and data points that provides a quick…
Revolutionize Your Data Workflow with dbt: The All-in-One Tool for Data Transformation, Analysis, and Visualization
Data Build Tool (dbt) is a command line tool that helps data analysts and engineers transform, analyze, and visualize data in their warehouse. It is designed to work with popular warehouses such as Snowflake, Redshift, and BigQuery, and integrates with…
What Is the Difference Between a Database and a Warehouse in Snowflake?
In today’s data-driven world, having a robust and efficient data management system is crucial for any organization looking to gain valuable insights from their data. One such system that has been gaining traction in recent years is Snowflake, a cloud-based…
Dashboards with Apache Superset
Most businesses today are data-driven, and to make sound decisions, they need access to accurate and timely data. However, setting up and maintaining a data warehouse can be costly and time-consuming. Apache Superset is an open-source tool that makes it…
How Much Does It Cost to Build a Data Warehouse?
Building a data warehouse can be a costly endeavor, with several factors impacting the final price tag. Factors such as the size and complexity of the data, the tools and technologies used, the number of users, and the level of…
Unlocking the Power of Data with OLTP, OLAP, and HTAP
In today’s data-driven world, companies are constantly on the lookout for new and innovative ways to extract value from the vast amounts of data they generate and collect. To meet this demand, there are three key approaches that have emerged…
Star Schema vs Snowflake Schema: 5 Key differences
When it comes to designing a data warehouse, there are two main schema models that are commonly used: the star schema and the snowflake schema. Both of these models have their own unique characteristics and benefits, but they also have…