![]() The tool acts as an orchestration layer on top of your data warehouse to improve and accelerate your data transformation and integration process. With dbt, anyone who knows how to write SQL SELECT statements has the power to build models, write tests, and schedule jobs to produce reliable, actionable datasets for analytics. How is dbt (Data Build Tool) Different Than Other Tools? In short, dbt (data build tool) turns your data analysts into engineers and allows them to own the entire analytics engineering workflow. Anyone who knows SQL can now build production-grade data pipelines, reducing the barrier to entry that previously limited staffing capabilities for legacy technologies. This is more important today than ever due to the shortage of data engineering professionals in the marketplace. You can write custom business logic using SQL, automate data quality testing, deploy the code, and deliver trusted data with data documentation side-by-side with the code. How is dbt Different Than Other Tools?↵Īccording to dbt, the tool is a development framework that combines modular SQL with software engineering best practices to make data transformation reliable, fast, and fun.ĭbt (data build tool) makes data engineering activities accessible to people with data analyst skills to transform the data in the warehouse using simple select statements, effectively creating your entire transformation process with code.There are many tools on the market to help you do this, but one in particular- dbt (data build tool)-simplifies and speeds up the process of transforming data and building data pipelines. Transforming your data allows you to integrate, clean, de-duplicate, restructure, filter, aggregate, and join your data-enabling your organization to develop valuable, trustworthy insights through analytics and reporting. However, because there is a shortage of data engineers in the marketplace, for most organizations there isn’t enough time or resources available to curate data and make data analytics ready.ĭisjointed sources, data quality issues, and inconsistent definitions for metrics and business attributes lead to confusion, redundant efforts, and poor information being distributed for decision making. As the volume of data increases, so does the need to make it accessible to everyone within your organization to use. In this blog we will discuss what dbt is, how it can transform the way your organization curates its data for decision making, and how you can get started with using dbt (data build tool).ĭata plays an instrumental role in decision making for organizations. ![]() One that we recommend and use often-dbt (data build tool) -focuses solely on making the process of transforming data simpler and faster. There are many tools on the market to help your organization transform data and make it accessible for business users. ![]()
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