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Article
· Oct 21, 2015 1m read

The European Space Agency: Charting the Galaxy with the Gaia Satellite and InterSystems Caché

Abstract

The European Space Agency (ESA) has chosen InterSystems Caché as the database technology for the AGIS astrometric solution that will be used to analyze the celestial data captured by the Gaia satellite.

The Gaia mission is to create an accurate phase-map of about a billion celestial objects. During the mission, the AGIS solution will iteratively refine the accuracy of Gaia's spatial observations, ultimately achieving accuracies that are on the order of 20 microarcseconds.

In preparation of the extreme data requirements for this project, InterSystems recently engaged in a proof-of-concept project which required 5 billion discrete Java objects of about 600 bytes each to be inserted in the Caché database within a span of 24 hours. Running on one 8-core Intel 64-bit processor with Red Hat Enterprise Linux 5.5, Caché successfully ingested all the data in 12 hours and 18 minutes, at an average insertion rate of 112,000 objects/second.

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Article
· Oct 21, 2015 2m read

Nine Questions to Ask Before Replacing an Interface Engine

Introduction

In healthcare, the outcome of a life-or-death decision can depend on the available information. To help deliver the right information at the right time and place, healthcare organizations traditionally have used HL7 interface engines to share data among clinical applications.

But the world of healthcare information technology is changing so rapidly thatHL7 interface engines are no longer sufficient. The technology landscape now includes new protocols and architectures, and the business environment has changed as well. Health information is being shared across broader populations of users and organizational boundaries. Clinical and administrative staffs need more information, faster, to improve patient care and control costs. And real-time analysis of information flowing through a hospital's applications is essential for improving care and the organization's financial health.

To meet these needs, a new class of advanced integration platform is replacing legacy HL7 interface engines and enabling the creation of connected healthcare environments. The best products in this class provide a range of capabilities for connected healthcare in a single, coherent package. They enable interoperability of systems from the emergency department to the billing department, from the chief medical officer to the office of the chief executive, and out through the healthcare community.

This white paper provides a guideline for selecting a modern integration platform to replace a legacy interface engine. Through a series of 9 key questions it will help you to clearly determine your selection criteria and the important architectural components to consider. This clarity is especially important when it comes to integration software. Far from being isolated applications whose strengths or weaknesses will have little effect on others, integration platforms will seamlessly connect applications, people, processes, and information across your organization. Asking these questions up front will help your organization identify the appropriate integration solution for its needs, save time and money, and reduce risk.

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Article
· Oct 21, 2015 1m read

Using InterSystems Caché for Securely Storing Credit Card Data

Introduction

In today's world, an ever-increasing number of purchases and payments are being made by credit card. Although merchants and service providers who accept credit cards have an obligation to protect customers' sensitive information, the software solutions they use may not support "best practices" for securing credit card information. To help combat this issue, a security standard for credit card information has been developed and is being widely adopted.The Payment Card Industry (PCI) Data Security Standard (DSS) is a set of guidelines for securely handling credit card information. Among its provisions are recommendations for storing customer information in a database. This paper will outline how software vendors can take advantage of the InterSystems Caché database - now and in the future - to comply with data storage guidelines within the PCI DSS.

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Article
· Oct 21, 2015 1m read

Turning a Caché-based Solution into a Mobile “APP” at HAPO Community Credit Union

Introduction

With the growing popularity of smart phones and tablet computers, consumers are coming to expect that software solutions will be presented as "apps" on their mobile devices. The challenge for most application developers is to find ways to make their existing solutions run on modern mobile platforms without incurring the delay and cost of a complete rewrite.

This paper will describe the approach taken by HAPO Community Credit Union when they adapted their online banking application, developed on InterSystems' high performance object database system called Caché, for use with mobile devices. It serves to illustrate the principle that designing solutions "from the data outward" will allow developers to tailor their user interface to meet customer demands without major revision of the underlying business logic or data structures.

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Article
· Oct 21, 2015 2m read

Caché and Data Management in the Financial Services Industry

Executive Overview

One way financial services firms can improve their operational efficiency is to revamp their data management infrastructure. Creating a central repository for data that is used by multiple applications can ensure data consistency and quality across the enterprise, ease integration bottlenecks, and lower the number of failed trades.However, different applications have different database usage patterns. To satisfy them all, any central data repository must:

  • Support a large number of transactions with high performance
  • Provide fast response to queries, using up-to-date information
  • Provide reliable, scalable persistence for data
  • Be easily accessible by several disparate applications

This paper discusses various database technologies and how well they meet the criteria for a central data repository. Traditional relational databases generally do not have the performance needed to support running queries against "live" transactional data. Also, it can be difficult to connect them with applications written in object-oriented technologies. "In-memory" databases are fast, but not very scalable. Nor do they provide reliable data persistence.Caché, a high-performance, massively scalable, multidimensional database, is an ideal choice for financial services firms looking to streamline the way they manage critical data. Its transactional bit-map indexing technology supports simultaneous querying and transaction processing. Plus, Caché's wide-open connectivity lets it communicate with many disparate applications, including existing data stores, thus allowing organizations to make incremental changes to their data management infrastructure.

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