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Goldman Sachs’ deployment of Kensho’s big data analytics and its investment in the company reflect growing commercial availability of big data analytics solutions and their use in financial services firms to automate analysts’ tasks and support better and faster decision making based on structured and unstructured big data.

DataStax, provider of an enterprise version of the Apache Cassandra distributed database, has partnered with Azul Systems, provider of the Zing Java virtual machine (JVM). The partnership allows DataStax to provide its customers with a combined technology platform on which to build low-latency data management solutions for applications that require increasing amounts of in-memory data such as fraud detection.

McObject, a provider of low latency, high performance database management technologies, will release eXtremeDB Financial Edition version 6.0 today. The new version is a major upgrade including support for big data management for capital markets analytics and access to the database’s vector-based statistical functions using SQL and Python.

TMX Atrium has signed an agreement with the UK’s National Physical Laboratory (NPL) to distribute NPL Time, a certified and precise time signal that is directly traceable to Coordinated Universal Time and can be used by TMX Atrium customers for regulatory compliance and audit purposes.

As the technology infrastructure of financial services firms begins to buckle under the strain of huge and increasing volumes of data, many firms are investing in big data projects to improve data management for the purposes of regulatory compliance, risk reduction, cost efficiency and business benefit. The extent and intent of investment varies, however, with some firms taking an evolutionary approach that imposes big data technologies on existing processes and others taking a revolutionary approach that rethinks processes using big data technologies.

Azul Systems has signed up Feedzai, a company that uses real-time, machine-based learning to analyse big data in commerce, as an independent software vendor that will use its Zing Java virtual machine (JVM) to power ultra-fast processing of big data within the Feedzai Fraud Prevention That Learns software.

Agile trading systems are key to market differentiation, but rather than following the well-trodden path of building proprietary systems, firms are beginning to favour a buy-and-build approach that not only meets immediate needs, but also accommodates rapid development to meet evolving trading and customer requirements.

The Laboratory for Financial Innovation at China’s Shenzhen Stock Exchange (SZSE) is implementing Kx Systems’ kdb+ high-performance database and programming language as the basis of a data analysis platform for market risk assessment, market performance analysis and trading simulations.

Nasdaq OMX has teamed up with Corvil to enhance its TradeGuard risk management suite with RiskWrapper, a solution designed to provide additional protection against risk by monitoring trades at the network level and comparing them to those in the risk system to identify any abnormal activity and alert users to anomalies.