DBT —A tool for Modern Data Architecture
The rising acknowledgment of data as a strategic asset for organizations, as well as the problems involved with maintaining and accessing this important resource, has already been recognised.
Organizations recognize that data plays a crucial role in various business initiatives, including revenue growth, customer experience improvement, operational efficiency, and product/service enhancement.
Data Build Tool (dbt) should be used in environments where teams need to manage, transform, and analyze large datasets effectively. It should be used in environments where there is a need for efficient, scalable, and maintainable data transformations within a modern data architecture.
It is particularly beneficial for teams working in cloud-based environments that require collaboration, version control, and robust testing.
dbt (Data Build solution) is a strong solution for contemporary data architecture that converts raw data into actionable insights in cloud data warehouses. It is intended to operate in situations where data-driven decision-making is critical, allowing data teams to automate, test, and document their transformation processes.
Here’s how database technology fits into current data architecture:
