DBT cloud , python & Snowflake.
Scandiplan Systems can help your data teams to get strong performance with using Snowflake, DBT Cloud, and Meta plane.
Snowflake can improve performance, made data more accessible, and improved engineering efficiency.
Snowpipe made ETL’ing and operationalizing data fast and simple.
DBT core or cloud is a fantastic tool be able to seamlessly integrate with product analytics platform like tableau of powerBi and use data sharing to repurpose data without needing to build new pipelines.
With DBT Cloud, we can help your data team to increase engineering contribution by 500- 750% percent and building data models went from taking days or weeks to hours.
Python and SQL are powerful on their own, but their value is highest when they work together.
Join us at Scandiplan Systems core team to learn how data teams can leverage DBT cloud to generate analytics and ML-ready pipelines with SQL and Python.
Modern businesses need modern data strategies, built on platforms that support agility, growth and operational efficiency.
Snowflake is the Data Cloud, a future-proof solution that simplifies data pipelines, so you can focus on data and analytics instead of infrastructure management.
DBT is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines. It transforms data in the warehouse, leveraging cloud data platforms like Snowflake.
Learn Analytical Engineering with dbt together with scandiplans instructors
Learn the Fundamentals of dbt including modeling, sources, testing, documentation, and deployment.
Jinja, Macros, Packages
Extend the functionality of dbt with Jinja/macros and leverage models and macros from packages