El documento describe los desafíos y la solución propuesta para un sistema policial distribuido en Chile que pueda seguir operando de manera confiable incluso ante desastres naturales. La solución involucra el uso de pequeños servidores locales en cada comisaría que almacenen datos de forma encriptada y se comuniquen de manera segura con un centro de datos principal a través de una arquitectura de consistencia eventual.
PROYECTO FINAL. Tutorial para publicar en SlideShare.pptx
Presentación Amir Samary, Senior Sales Engineer, InterSystems en Simposio Tendencias Digitales
1. Amir Samary – Senior Sales Engineer
Julio de 2018
Servicios a los Ciudadanos
Gestión de big data y seguridad de la información como diferencial
competitivo
28. Amir Samary – Senior Sales Engineer
Julio de 2018
Servicios a los Ciudadanos
Gestión de big data y seguridad de la información
como diferencial competitivo
Notes de l'éditeur
Key Themes (for InterSystems IRIS Data Platform)
Simplicity
Make it easy for fewer developers to develop sophisticated data rich applications
We’ve Combined all of our functionality (multi-model, multi-workload DBMS, interoperability, open analytics platform) into one complete data platform
(Mention for existing customers only :Added support for Document Data Models - schema-less, high performance storage and retrieval - rich set of RESTful APIs to access the document database. Documents can be indexed on key values to optimize data retrieval.)
Real-Time & Performance
We continue to further improve performance and shorten latency
We are running InterSystems IRIS in a testbed at HQ where we are able to process and commit transactions, index them
And make them available for queries in tens of nanoseconds (less than a microsecond) on commercially available hardware
Faster Java performance – communicate with the JVM over shared memory
Faster JDBC performance
Interoperability & Open Analytics
We continue to innovate to make it even easier to integrate your existing application and data infrastructure
We’re starting to provide capabilities for API Management.
Provide MFT support (Box, DropBox, Kiteworks).
Java Business Hosts allows customers to incorporate existing compiled Java libraries into their integration processes
Integration with KMIP for message encryption
Our approach to analytics is to continue to enhance our business intelligence (FKA DeepSee) and natural language processing capabilities (FKA iKnow)
InterSystems IRIS makes it easy to allow you to also incorporate best of breed technologies into your applications, and embed sophisticated analytics into real time business processes
Examples: Apache Spark, machine learning libraries, predictive analytics (SAS, SPSS, Netezza, R) via PMML
Provide support for UIMA to integrate multiple best of breed NLP tools into a seamless pipeline
Scalability
Continue to innovate around Vertical scaling (take advantage of larger machines with more memory and more cores) and horizontal, scale out scaling on commodity hardware for processing workloads
And distributing data and tables horizontally (shared nothing)
Horizontal data distribution leverages our unique technology – ECP – for ultra high performance and efficiency
Tremendous scalability for both transactional processing and high volume queries.
Pushes the queries down to the data shards– able keep a larger working set in memory.
Analyze more data, analyze it faster, lower cost – less memory
Still fully transparent to the application code
Cloud
InterSystems Cloud Manager provides simple one click deployment to cloud environments, including AWS, Azure, and Google Cloud Platform
Support for Containers and Docker
Supports public cloud, the ability (e.g. for partners) to create their own cloud offering, as well as onsite deployments.
Supports hybrid deployment – on premise with the ability to spill over to the cloud as needed when workloads require
Brings our technology into alignment with organizations that are embracing the “DevOps” approach and a “cloud first” philosophy.