upgraded to dbt-core==1.5.6
added support for Python 3.11
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it’s ready for analysis.
InterSystems IRIS is a data platform that provides advanced technologies for building and deploying data-intensive applications. It is a high-performance, multidimensional database that is optimized for complex data and real-time analytics. It is designed to support a wide range of data management, analysis, and integration tasks, and provides features such as a high-performance database engine, a powerful analytics engine, and support for building and deploying microservices. InterSystems IRIS is used by organizations in a variety of industries, including healthcare, finance, and government, to support their data-intensive applications and business processes.
docker-compose.yml
version: '3'
services:
iris:
image: intersystemsdc/iris-community
command:
- -a
# by default it starts with a requirement to change passwords for system users
- iris session iris -U %SYS '##class(Security.Users).UnExpireUserPasswords("*")'
ports:
- 1972:1972
- 52773:52773
Ports:
docker-compose up -d
Default login and password _SYSTEM
and SYS
.dbt/profiles.yml
...
iris:
type: iris
host: localhost
port: 1972
user: _SYSTEM
pass: SYS
namespace: USER
schema: dbt
Required parameters: