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Digital transformation in finance
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Module 2
Foundations of Big Data for Finance
1
Understanding Big Data in Finance: The 5 V's
Define Big Data and explain the 5 V's framework (Volume, Velocity, Variety, Veracity, Value) in a financial context.
2
Understanding Data Types: Structured, Semi-structured, and Unstructured
Differentiate between structured, semi-structured, and unstructured data with financial examples.
3
Data Lakes vs. Data Warehouses
Explain the concept of a data lake versus a traditional data warehouse.
4
Sources of Big Data in Finance
Identify primary sources of big data in financial services (e.g., market data, transactions, social media).
5
Big Data System Architecture Fundamentals
Describe the basic architecture of a big data system (storage, processing, analysis).
6
Cloud Computing's Role in Big Data Analytics
Explain the role of cloud computing in enabling big data analytics.
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Digital Transformation in Finance
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Big Data Applications in Finance