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Market data processing

About:

Our client is a big player on stock exchange market. They approached us to help them build an ecosystem for market data processing.

Problem:

Their main business was to build a reliable and scalable solution for real-time stock data processing.

The data had to be extracted, aggregated, notification rules applied and emails sent to the stakeholders. Another requirement was that the storage ecosystem/data processors had to be located in Azure Cloud. As our customer expected fast data growth, data storage/processing engines had to be chosen appropriately.

Solution:

Taking into account our customer’s requirement to avoid whenever possible custom code development, we have built streaming application based on Talend for Big Data in the scope of our work. 

Per customer request, we’ve placed  run-engines and orchestrators on VMs in Azure cloud. For fast market data distribution we utilized Azure Service Bus. And we have also used Apache Hadoop and Impala for data storage and analysis.

Why choose Divectors

A team of professionals with over 11 years of experience that will serve the growing need of your business

We apply standard Project Management processes and procedures that are customized according to client needs and business requirements.

We use the best Design Thinking practices to get to the bottom of the problem

An agile team of software developers, experience designers, project managers and business analysts that apply the best Agile / Scrum practices

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