How does DAMA-DMBOK approach the topic of big data?

The DAMA-DMBOK recognizes the significance of big data in the modern data landscape. Its approach emphasizes the need for scalability and governance when managing vast datasets. This is crucial because big data often involves a variety of data types and sources that can lead to challenges in data quality, consistency, and compliance with regulations.

Scalability refers to the ability of data management processes and technologies to handle increasing volumes of data efficiently. This includes being able to store, process, and analyze massive amounts of data in a way that remains cost-effective and responsive to business needs.

Governance is equally important as it ensures that data is managed appropriately throughout its lifecycle. This includes establishing policies and standards for data access, security, and quality, which are vital in maintaining trust and usability of data in any organization.

Overall, the DAMA-DMBOK's approach to big data aligns with the necessities of managing large datasets while addressing the complexities associated with them, which supports organizations in leveraging data for strategic decision-making.