SummaryFinancial data systems require the highest guarantee for data completeness, integrity and consistency. Based on distributed computing, how can Big Data technologies be used for such systems?
ContentOverview and historyData base transactions and distributed computing - Transactions and ACID properties - Distributed database: eventually vs. strongly consistent - Is HBase ACID? Use cases - Use case 1: consistency for position keeping - Use case 2: consistency of a Trades and Schedules - Use case 3: consistent extracts of trades/reports - Use case 4: a node failure during a transactionConclusion
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About Scaled RiskScaled Risk develops, markets and supports a wide range of software to financial institutions. These next-generation solutions based on Big Data technologies cover all cases of application of Risk Management and Front Offices, position calculation, Trade Analytics and real-time fraud detection.