A financial institution is interested in leveraging analytics to address a recent surge in credit card fraud. The company has decided to invest in streaming analytics to obtain instant access to real-time data to stop fraudulent behavior before it occurs. Which practice will help the financial institution integrate the data as it is collected?
Data architecture is the practice of designing and implementing the structures, models, standards, and processes that enable data integration, storage, and consumption. Data architecture is essential for streaming analytics, as it defines how data is collected, processed, and delivered in real time from multiple sources. Data architecture helps the financial institution integrate the data as it is collected by ensuring data compatibility, consistency, and quality across the streaming pipeline. Data architecture also supports data security, scalability, and performance for streaming analytics.Reference:
Certification in Business Data Analytics (IIBA - CBDA), IIBA, accessed on January 20, 2024.
Guide to Business Data Analytics, IIBA, 2020, p. 17-18.
What is Streaming Analytics? | Google Cloud, Google Cloud, accessed on January 20, 2024.
What is Data Integration? | IBM, IBM, accessed on January 20, 2024.
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