Monday, 12 February 2024

Key stakeholders of Data Catalog

 

The key stakeholders of a data catalog can be vary depending on the organization, but usually include:

 

1. Data Analysts: These folks study past data to answer specific questions and help make quick decisions. Data Analysts rely on the data catalog to discover and access relevant datasets for their analyses.

 

2. Data Scientists: Develop predictive models and solve complex problems using advanced data techniques like machine learning and artificial intelligence. They design and build algorithms, interpret results, and recommend data-driven solutions for future scenarios. Data Scientists rely on the data catalog to discover and access relevant datasets for their analyses.

 

3. Data Engineers: These are the builders and fixers of the systems that store and manage data. Data Engineers design and build data ingestion and processing systems to collect, clean, and transform raw data into formats usable for analysis. Data Engineers develop and maintain data platforms and tools like data lakes, data warehouse, and data pipeline services. Data Engineers use the data catalog to understand data lineage, schema information, and dependencies when developing and managing data workflows.

 

4. Data Stewards and Governance Teams: They make rules about how data should be used and keep an eye on things to make sure everyone follows the rules. For example, they might decide who can see certain types of sensitive information.

 

5. Business Users and Decision Makers: These are the people who make big decisions based on data. They might use data to figure out which new products to make or where to open new stores.

 

6. IT and Database Administrators: They are the tech experts who manage the computer systems where data is stored. They make sure everything runs smoothly and safely.

 

They use the data catalog to monitor data usage, optimize data storage, and ensure data security and privacy.

 

Data catalogs can maintain access logs and audit trails that track who accessed which datasets, when, and for what purpose. This information helps administrators monitor data usage patterns and identify any unauthorized or suspicious activities.

 

Data catalogs may integrate with underlying data infrastructure, such as databases and data warehouses, to gather metrics on resource utilization. Administrators can monitor factors like CPU usage, memory usage, and storage capacity to ensure that resources are allocated efficiently and scale as needed to support data usage.

 

7. Data Owners and Custodians: They're like the bosses of specific sets of data. They decide who can use it and make sure it's kept safe and organized.

 

8. Compliance and Risk Management Teams: They make sure the organization follows all the rules about data. For example, they might check if the company is following privacy laws. They use the data catalog to track data lineage, monitor data usage, and demonstrate compliance with regulatory requirements.

 

9. Data Quality Analysts: They check whether the data is good quality and fix any problems they find. For example, they might notice if there are mistakes in customer addresses. They use the data catalog to identify data quality issues, track data lineage, and collaborate with data owners to address data quality issues.

 

10. Data Consumers: These are the people who use data in their everyday work. For example, a marketing team might use data to plan advertising campaigns. Data Consumers use the data catalog to discover and access relevant data for their specific needs.

 

Remember, different organizations might have different people involved in managing data, and it's important to include all the right people when setting up a data catalog.

 

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