DATA LAKE – METADATA
Metadata is information that describes other data, providing context, meaning and structure to facilitate its organization, retrieval and understanding.
Additionally, they include details such as data origin, format, type, size, properties, and relationships.
These details provide a layer of information on the underlying data, enabling better understanding and use of it.
True: Metadata is detailed, comprehensive information about data, including its origin, structure, format, meaning, relationships, and associated business rules
True:Metadata is fundamental in a Data Lake, as it provides context and understanding about the data stored. They help with data discovery, governance, quality, and analysis
True:While some metadata can be generated automatically, much requires human effort to create, document, and properly maintain. Specialized knowledge is required to capture relevant and accurate metadata
Truth:Metadata has value for both technical and business users. They help understand data structure, track data provenance, provide context for analysis, and facilitate cross-team collaboration
True:Metadata is relevant throughout the Data Lake lifecycle. They help with data discovery, understanding data history, regulatory compliance, ongoing governance, and improving data quality
True:Metadata must be updated regularly to reflect changes to data, schemas, and business rules. Lack of updating can lead to incorrect interpretations and inaccurate analysis
True: Although metadata management can present challenges, there are tools and practices that make it easier to manage. Automation and adoption of good documentation practices can simplify the process
True:Metadata is valuable to the company as a whole. They help you gain meaningful insights from data, improve data governance, increase operational efficiency, and drive informed decision-making
True: Metadata plays a crucial role in protecting data privacy and security. They help identify sensitive data, apply access policies and track changes, contributing to compliance with regulations such as GDPR and LGPD
True:Metadata can have value beyond the organization. They can be shared with business partners, suppliers or even the public, helping to promote transparency and trust in the information made available
Importance: Metadata plays an essential role in a Data Lake. Additionally, they provide detailed information about stored data, allowing companies to understand the structure, meaning and provenance of the data. This makes data easier to discover and understand, increasing its usefulness and value for analysis and decision-making. Metadata is not only relevant during the Data Lake construction phase, but also throughout its lifecycle. Additionally, they need to be regularly updated to reflect changes to data, schemas, and business rules, ensuring their continued accuracy and relevance.
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