The term metadata arises often when discussing データアーキテクチャ. Summarizing, it refers to data about data. However, interpretation can be rather ambiguous, since we use it in different contexts.
We know the most common context as structural metadata, which describes the design and specifications of data structures such as tables, columns, constraints, and indexes. This also applies to semi-structured data such as JSON, XML, or Parquet files.
Another interpretation is descriptive メタデータ (also known as meta-content), which describes the data asset. For example, who created it and why, when we created it, and where we created it. An example of this is the cataloging information captured with photographs using modern digital cameras; for instance, date, time, exposure settings, and GPS coordinates. This adds context to the data object.
Understanding metadata helps with the reduction of ambiguity and error. There may also be classifications, policies, and rules around the data, such as flags to designate personally identifiable information (PII) or sensitivity levels.
We often store metadata in a repository, which is often a database structure itself. A variety of データモデリング, data integration, business intelligence, and service-oriented architecture tools use metadata repositories, sometimes called registries.
データガバナンス projects refer to a data catalog, which may hold a technical data dictionary cataloging data assets and their structural metadata, alongside a business glossary cataloging business terms focused on meaning, policies, and rules around data.
These two catalogs are linked together to help users find information and understand the meaning and rules around data assets.
As a modeling and collaboration platform, ER/Studio provides a robust environment to define, manage, and organize metadata. This enables business and data consumers to understand how data is utilized across the organization effectively.
ER/Studio is a powerful, repository-based data architecture and modeling suite. It supports both top-down and bottom-up metadata creation, cataloging, and sharing for most industry-leading database platforms. Top-down methods allow データモデル to be designed, elaborated, and converted into physical database specifications, facilitating collaboration throughout.
Metadata includes tables, columns, relationships, permissions, definitions, notes, security information, and data lineage. ER/Studio Data Architect supports logical and physical layers, ensuring comprehensive metadata management.
Create bottom-up metadata using ER/Studio’s robust reverse engineering capabilities, compatible with most database platforms. Transform metadata to and from data integrations, business intelligence, big data, and other third-party platforms seamlessly.
ER/Studio serves as the custodian of essential corporate metadata, sharing it with other platforms. Its built-in attachment functionality allows metadata to be extended almost indefinitely. Additional automation capabilities, macros, naming standards, and universal mappings enhance its flexibility across models.
Many users create enterprise data models containing standardized definitions of critical company data like ‘Client.’ This promotes system interoperability, better “what-if” analysis, and a strong foundation for data management.
ER/Studio Team Server adds powerful collaboration capabilities to メタデータ管理. All stakeholders, ranging from technical staff and business analysts through business subject experts and data stewards, can work as a team, with views of the metadata that are appropriate to specific roles.
ER/Studio Team Server provides users with catalogs of data models, including the enterprise models, along with a Data Catalog, which allows users to browse business glossaries of terms to find data assets or a technical data dictionary of assets. Team Server supports simple data governance or integrates tightly with industry-leading data governance tools like Collibra. It includes powerful tools to help initiate a data governance program by harvesting business terms from data models.
This social collaboration paradigm allows users to have meaningful discussions regarding specific areas of interest, with a full audit trail. It not only records the decisions but also the process that led to those decisions. This capability enables all participants to reach a much higher level of knowledge and understanding, crucial for both data creation and data consumption.
The capabilities of Team Server are continuously enhanced to provide even greater functionalities in the future.
To experience for yourself how ER/Studio can help you with your metadata, schedule a product demonstration with one of the industry experts of IDERA now.
