The Department of Finance in Malaysia has appointed you as the lead to propose a conceptual big data analytics framework to revolutionize their financial analysis processes. Your task is to design a framework that harnesses big data analytics to extract hidden patterns and valuable insights from financial data. Finance data analysis includes market trends, stock prices, currency exchange rates, commodities, interest rates, and various economic indicators. The conventional methods of financial analysis can be time-consuming and error-prone due to the vast amounts of unstructured data stored in disparate formats across different systems. Recently, there was a notable incident where Google's Ringgit to USD converter temporarily stopped updating its conversion rate, causing fear and uncertainty in the market. This incident highlights how critical timely and accurate financial data is for decision-making. The Department of Finance is seeking a more efficient, real-time solution to analyse financial data and provide accurate forecasts