Cast Study: FINOS Perspective
Perspective: A financial services open source success story delivering data analysis software for complex, real-time data sets.
Suggested Content
Cast Study: FINOS Perspective
Perspective: A financial services open source success story delivering data analysis software for complex, real-time data sets.
Perspective in 3D
Click to view Perspective in 3D
Perspective Github Homepage
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Perspective Homepage
Perspective is an interactive analytics and data visualization component, which is especially well-suited for large and/or streaming datasets. Use it to create user-configurable reports, dashboards, notebooks and applications, then deploy stand-alone in the browser, or in concert with Python and/or Jupyterlab.
Real-time Trade Data Processing & Machine Learning at Giga-scale with Hazelcast & FINOS Perspective
Trade volumes continue to grow, demanding more scalable solutions for real-time processing. The old approach was to throw hardware at the problem. However, that is no longer needed. Newer more efficient technologies enable smaller, more manageable clusters while handling extreme workloads. Hazelcast, the Open Source real-time data platform, can process billions of events per second with modest compute resources. Meanwhile, FINOS Perspective provides an ideal framework for real-time data visualization. In this session, you will learn how to architect and build the fastest data processing applications that scale linearly, and combine streaming trade data with reference and contextual data and supporting machine learning. Unifying data-in-motion and data-at-rest with real-time ML opens new use-cases across front and back office. We will take you through the end-to-end framework and an example Trade application, built on Hazelcast. We will also show how you can leverage SQL to further explore the operational data in the solution including querying Kafka topics and key-value data on the in-memory data store. Attendees will also get access to the Github sample application shown.
OS in Fintech Meetup – Order Book Simulation w Perspective – March 2021
OS in Fintech Meetup - Order Book Simulation w Perspective - March 2021
Whitepaper: Business Value of Open Source for Financial Services Firms
Whitepaper: Business Value of Open Source for Financial Services Firms
Report: Technology Trends in Capital Markets Report
Report: Technology Trends in Capital Markets Report
Case Study: FINOS Legend
In November 2019, at the FINOS flagship Open Source Strategy Forum, FINOS Platinum member Goldman Sachs announced its intention to open source its internally developed Legend data management platform.Legend provides an excellent opportunity to bring subject matter expertise to data models, as its single, visual platform enables engineers and non-engineers - regardless of their technical background - to develop data-centric applications and data-driven insights.Between April and September 2020, Goldman Sachs led several data modeling efforts as part of the FINOS Legend Studio Pilot to develop extensions to the International Swaps and Derivatives Association's Common Domain Model (ISDA CDM).Legend was open sourced and contributed into FINOS in late 2020 and is available on GitHub for anyone to use and contribute to.
The State of Open Source in Financial Services 2021
The State of Open Source in Financial Services 2021
Suggested Content
Perspective: A financial services open source success story delivering data analysis software for complex, real-time data sets.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Perspective is an interactive analytics and data visualization component, which is especially well-suited for large and/or streaming datasets. Use it to create user-configurable reports, dashboards, notebooks and applications, then deploy stand-alone in the browser, or in concert with Python and/or Jupyterlab.
Trade volumes continue to grow, demanding more scalable solutions for real-time processing. The old approach was to throw hardware at the problem. However, that is no longer needed. Newer more efficient technologies enable smaller, more manageable clusters while handling extreme workloads. Hazelcast, the Open Source real-time data platform, can process billions of events per second with modest compute resources. Meanwhile, FINOS Perspective provides an ideal framework for real-time data visualization. In this session, you will learn how to architect and build the fastest data processing applications that scale linearly, and combine streaming trade data with reference and contextual data and supporting machine learning. Unifying data-in-motion and data-at-rest with real-time ML opens new use-cases across front and back office. We will take you through the end-to-end framework and an example Trade application, built on Hazelcast. We will also show how you can leverage SQL to further explore the operational data in the solution including querying Kafka topics and key-value data on the in-memory data store. Attendees will also get access to the Github sample application shown.
OS in Fintech Meetup - Order Book Simulation w Perspective - March 2021
Whitepaper: Business Value of Open Source for Financial Services Firms
Report: Technology Trends in Capital Markets Report
In November 2019, at the FINOS flagship Open Source Strategy Forum, FINOS Platinum member Goldman Sachs announced its intention to open source its internally developed Legend data management platform.Legend provides an excellent opportunity to bring subject matter expertise to data models, as its single, visual platform enables engineers and non-engineers - regardless of their technical background - to develop data-centric applications and data-driven insights.Between April and September 2020, Goldman Sachs led several data modeling efforts as part of the FINOS Legend Studio Pilot to develop extensions to the International Swaps and Derivatives Association's Common Domain Model (ISDA CDM).Legend was open sourced and contributed into FINOS in late 2020 and is available on GitHub for anyone to use and contribute to.
The State of Open Source in Financial Services 2021