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Spark Use Cases in Finance Industry

Spark's generalized abstraction and growing helper libraries mean that companies can use Spark for a vast number of usages. Recommendations and other personalizations using big data are a vast use case, covering companies such as Yahoo, Comcast, Ooyala, Conviva, and Netflix. Another case is data crunching for real-time threat analytics, such as different types of fraud detection. Log aggregation and analysis being done at eBay.

Spark's generalized abstraction and growing helper libraries mean that companies can use Spark for a vast number of usages. Recommendations and other personalizations using big data are a vast use case, covering companies such as Yahoo, Comcast, Ooyala, Conviva, and Netflix. Another case is data crunching for real-time threat analytics, such as different types of fraud detection. Log aggregation and analysis being done at eBay. Spark is used in many areas of science exploration such as Freeman lab at Janelia, where they are using Spark for analyzing and visualizing patterns of brain activity in real-time. Big data has already helped towards difficult medical diagnoses.

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Spark Use Cases in Finance Industry Banks are using Spark to gain insights which can help them make right business decisions. Financial Institutions want a 360-degree view of the customer regardless of whether it is a company or an individual. Apache Spark helps the bank automate analytics with the use of machine learning

Many healthcare providers are using Apache Spark to analyse patient records along with past clinical data to identify which patients are likely to face health issues after being discharged from the clinic. Apache Spark is used in genomic sequencing to reduce the time needed to process genome data. This use case of spark might not be so real-time like other but renders considerable benefits to researchers over earlier implementation for genomic sequencing.

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