Skip to content
Pesquise para saber mais sobre produtos e soluções da InterSystems, oportunidades de carreira e muito mais. Os resultados incluem conteúdos da nossa comunidade de desenvolvedores, documentação de produtos e sites de educação, além de InterSystems.com.

InterSystems IRIS Complements Existing Data Lake

person looking at banking information on phone

CUSTOMER: Major international investment bank

CHALLENGE: Address limitations of existing Hadoop data lake, which, unable to support real-time data streams, adequately scale, or meet analytical needs, slowed the response time of the bank’s customer management application.

OUTCOME: Seamless integration of InterSystems IRIS data platform with existing data lake enables advanced querying, ability to scale and handle large data volumes, and high-speed real-time data processing. Bank’s analytic needs are met across business lines for portfolio analysis, risk, and compliance.

Enables Real-Time Capabilities, Advanced Analytics, and Scalability

When one of the world’s largest investment banks was impacted by limitations with its Hadoop data lake, it implemented InterSystems IRIS® data platform as a dynamic data layer between the data lake and its production applications. The result not only addressed the bank’s growing list of requirements, but also saved money by leveraging existing hardware.

With a high performance transactional-analytic database engine, a complete integration platform and a rich set of embedded analytics capabilities, InterSystems IRIS integrates seamlessly with the data lake to combine and process historical data with current transactions at the rate of 50 megabytes per second and with a response time under 100 milliseconds. And while enabling more than 100 concurrent connections, it meets the bank’s analytic needs across business lines for such use cases as portfolio analysis, risk, and compliance.

Problem: Limited Analytics, Slow Response

Problems with the petabyte-sized Hadoop data lake impacted the bank’s customer management application, which it used to query customer assets and demonstrate that trades met regulatory requirements. The application was slow, responding to queries in seconds when it should have responded in milliseconds.

The petabyte-sized Hadoop data lake, while acceptable for historical analysis, had a mass of limitations, including its inability to support real-time data streams, scale out efficiently, or support the organization’s analytical needs. It could handle only simple queries, so the bank was hampered in its analysis reporting. What’s more, the data lake could not store previous, frequently used query results, resulting in inefficiencies and duplication of effort.

Ideally, the bank needed an application that could complement the existing data lake while also accommodating real-time data, facilitating more sophisticated queries, and handling large volumes of data at a low cost.

Vice President, Global Investment Bank

Solution: Seamless Integration of InterSystems IRIS

InterSystems IRIS, which easily integrates with existing systems and applications, could meet the bank’s performance requirements at scale. The solution was to add it to the existing configuration to support the complex queries the former architecture could not.

The new architecture includes a data access layer, which, feeding on the data lake, links to the InterSystems IRIS data platform via a message bus. Storing a few days of query history, InterSystems IRIS, in turn, feeds the application programming interface for data analysis. What’s more, it combines shared-nothing and shared-everything architectures for enhanced performance.

The data platform’s cloud-friendly architecture and its ability to run and scale on commodity hardware meant the bank could leverage its existing hardware infrastructure.

“InterSystems IRIS data platform is a wonderful product that gives the scale and performance of an in-memory database at a much lower cost for very large multi-terabyte datasets,” says a vice president at the bank.

RELATED TOPICS

Outras Histórias de Sucesso Que Você Pode Desfrutar

Att få system att samverka är svårt i normala fall. I extrema situationer ökar kraven än mer. I Region Örebro har man lyckats hantera all information som måste distribueras under pandemin med hjälp av en plattform för interoperabilitet. De vanliga kanalerna för att distribuera information räcker.
Nunca ninguém chamou a migração de um sistema de registo médico eletrônico (EMR) para um sistema diferente de uma tarefa fácil. Para o Departamento dos Assuntos dos Veteranos (VA) dos EUA, a tarefa era fazer a transição de um sistema EMR de 40 anos, desenvolvido internamente, para um novo sistema comercial pronto a usar. Os desafios nesta transição incluíram:
New York City's health agency enlisted Healthix, a longtime InterSystems HealthShare® partner, to collaborate on several other projects designed to keep school children healthy.
Healthcare organizations are moving quickly to satisfy new interoperability rules from CMS and ONC. For some, the regulatory requirements serve as a springboard to exceed expectations, creating data-driven experiences for members.
Banco Global de Investimentos
Um dos maiores bancos de investimento do mundo migrou sua principal aplicação de gestão de comércio de ações para a tecnologia da plataforma de dados InterSystems.
Para os grandes sistemas de prestação de cuidados de saúde, a escalabilidade do software é fundamental. À medida que as organizações crescem, precisam de dados que circulem sem problemas pelos seus sistemas de TI de saúde para fornecerem um registro unificado de cuidados, e para análises que abranjam cuidados contínuos. No entanto, muitas iniciativas de compartilhamento de dados de primeira geração não conseguem resolver os desafios técnicos fundamentais, incluindo o acesso, a escalabilidade e o desempenho.
Broadbridge Financial Solutions
O Desafio Broadridge Financial Solutions, um líder mundial da fintech que lida com US$7TN de rendimento fixo e transações de títulos de ações por dia, precisava de uma melhor forma de gerir e distribuir volumes crescentes de dados.
Organizations recognize the importance of an optimized supply chain to business success, but data and application silos, complex partner ecosystems, and periodic market disruptions make it challenging to achieve in practice.
Para grandes sistemas de prestação de serviços de saúde, a escalabilidade do software é fundamental. Conforme as empresas crescem, elas precisam de dados fluindo perfeitamente através da TI em saúde para fornecer um registro unificado de cuidados e para análises que cubram o espectro de atendimento. Entretanto, muitas iniciativas de compartilhamento de dados de primeira geração não conseguem lidar com desafios técnicos fundamentais, incluindo acesso, escalabilidade e desempenho.
Matching inpatient and outpatient records with HealthShare Patient Index enabled a single view of patient data, joint ventures with other healthcare organizations, and better information flow.