Tag: mds

All the articles with the tag "mds".

• Introduction to Dagster

  Dagster is a data orchestrator that simplifies and optimizes data processing workflows for machine learning and analytics. It introduces concepts such as software-designed assets, Ops, Graphs, Jobs, Repositories, Workspaces, Materialization, Schedules, Sensors, and Backfills. These components work together to provide a flexible and intuitive framework for defining, executing, and monitoring complex data pipelines, enabling data engineers and analysts to efficiently manage and orchestrate their workflows.

• The Modern Data Stack: Empowering Data-Driven Organizations with Dagster, dbt, Great Expectations, Superset, and DataHub

  The modern data stack, combining tools like Dagster, dbt, Great Expectations, Superset, and DataHub, empowers organizations to efficiently manage, transform, and derive insights from their data. By adopting these best-in-class tools, data teams can streamline workflows, improve data quality, and drive data-driven decision-making.