data astronomer apache airflow datakinhalltechcrunch

Data lineage provides the full context of the data by capturing in greater detail the relationships between data sources, where the data originated, and how it gets transformed and converged through the data lifecycle. However, data teams naturally need more than open source Airflow on its own - they need test pipelines to ensure data quality, SDKs to make data practitioners productive, and observability plus lineage for the underlying data - even as they strive to minimize operational overhead. Data practitioners love Airflow because of its community, its flexibility, and its ability to provide a central view of a data ecosystem. With more than 2,200 contributors and over 12M monthly downloads, Apache Airflow has emerged as the open source standard for programmatically authoring, scheduling, and monitoring data pipelines. This data orchestration -weaving business logic through the data stack for everything from dashboards to personalization algorithms - requires hundreds, if not thousands, of data pipelines.ĭata orchestration is needed across all industries, in organizations of all sizes. For data to be useful in a modern enterprise, it must be collected and centralized from various sources, processed across a growing ecosystem of tools, and fed to systems across an organization in a way that’s consumable across teams.

Data astronomer apache airflow datakinhalltechcrunch