Metadata is organised information that describes, locates or otherwise makes it easier to retrieve information. Metadata is all around us, it started as catalogue cards in libraries and is now used mainly in a digital manner. Metadata is everywhere, every webpage, every file, picture, piece of software has metadata that describes what it is, when was it created, what size it is, generally everything you or a computer needs to know to efficiently find information. There are two main types of metadata, descriptive and structural. Descriptive metadata is information that is used for identification or discovery of a resource.
Note: Kubeflow Pipelines has moved from using kubeflow/metadata to using google/ml-metadata for Metadata dependency. Runtime information includes the status of a task, availability of artifacts, custom properties associated with Execution or Artifact, etc. Learn more at ML Metadata Get Started. You can view the connection between Artifacts and Executions across Pipeline Runs, if one Artifact is being used by multiple Executions in different Runs. This connection visualization is called a Lineage Graph. Please tell us how we can improve.
In the past, Metadata Management is used to know how to use data catalog to find simple data or a book or a periodical in a library. However, today it is one of the most critical data practices for a successful organization dealing with data. With the rise of distributed architectures, including cloud & big data, metadata management is now critical for organization to manage. So what is metadata management? Metadata management is the proactive use of metadata to govern data in an organisation, allowing for well-informed business decisions and data handling efficiency.
Roland Bullivant is accustomed to the stunned silence that often greets a demonstration of Safyr, Silwood Technology's Metadata Discovery software. Moments after realizing that Safyr creates a complete Metadata Glossary for large ERP and CRM packages in a matter of hours, a process that can take an entire team working full time six months – or more – many potential customers are a bit emotional. One customer said simply, "I'm grieving for the lost years."
Learn how Apache Atlas is being enhanced to provide a universal open metadata and governance platform for all data processing across the enterprise. With open metadata, multiple metadata repositories, potentially from different vendors, can operate collaboratively to create an enterprise catalog of data that can be located, understood, used and governed. In this talk we will provide a detailed description of the extensions to the type system, new APIs, the connector framework, metadata discovery framework, governance action framework and the inter-operability that we are adding to Apache Atlas. We will show examples of these features in operation. For example, (1) how metadata is discovered and gathered into Apache Atlas, (2) how applications and tools access metadata, (3) how enforcement engines such as Apache Ranger keep synchronized with the latest governance requirements and (4) how to build an adapter to allow other vendor's metadata repositories can exchange metadata with Apache Atlas repositories.