Article Developer Commu... · Apr 13, 2023 8m read What you always wanted to know about InterSystems IRIS but were afraid to ask :) What is InterSystems IRIS? InterSystems IRIS is a high-performance data platform designed for developing and deploying mission-critical applications. It is a unified data platform that combines transaction processing, analytics, and machine learning in a single product. #InterSystems IRIS FAQ 1 0 1 200
Article Developer Commu... · Jul 6, 2016 2m read Alert: Potential Integrity Issue with Mirroring July 6th, 2016InterSystems has corrected a defect with Mirroring that can impact data integrityThe defect is present in all released versions Caché, Ensemble, and HealthShare beginning with 2015.2.0. It is present for all platforms and affects both failover and asynchronous mirroring configurations. #Caché #Ensemble #HealthShare #Alerts 1 0 0 478
Article Developer Commu... · Oct 21, 2015 1m read Caché for MultiValue Developers InterSystems has implemented a broad set of MultiValue extensions for its Caché multidimensional database. These extensions enable the migration of MultiValue applications to Caché and bring the full range of Caché object and SQL development technologies to MultiValue developers. The result: your existing MultiValue investments are preserved, you gain a broad spectrum of highly scalable deployment options, and your developers can combine the best of MultiValue, object, relational, and technologies to extend existing applications and build new ones. #Caché #Languages #MultiValue Basic 0 0 0 208
Article Developer Commu... · Oct 21, 2015 2m read The Two Key Technologies for SOA Success Introduction #Ensemble 0 0 0 160
Article Developer Commu... · Oct 21, 2015 How InterSystems’ Technology Enables Business Intelligence #InterSystems IRIS BI (DeepSee) 0 0 0 61
Article Developer Commu... · Oct 21, 2015 1m read Integration Technology Primer What is Integration #Ensemble 0 0 0 100
Article Developer Commu... · Oct 21, 2015 2m read Ensemble and Real-Time Compliance Solutions Introduction #Ensemble 0 0 0 152
Article Developer Commu... · Oct 21, 2015 1m read Case Studies in Performance Executive SummaryThe best way to compare the performance of database products is in a head-to-head test using a real application, preferably one of your own. This is especially true when evaluating Caché's post-relational technology, because "standard" transaction processing benchmarking methodologies assume the restrictive "row and columns" format of a relational database. They cannot accurately predict the performance of real applications, which often use complex data models. #Caché 0 0 0 212
Article Developer Commu... · Oct 21, 2015 1m read REAL-WORLD BENCHMARK: Caché vs. Oracle in a Data Warehousing Application AbstractA benchmark of a real-world application, which loads data into a data warehouse for subsequent analysis, was performed. To conduct the benchmark, one module of the Oracle-based application was replicated in Caché ObjectScript. Only about 40 person-hours of work was required to duplicate the functionality of the original module in Caché. #Caché 0 0 0 240
Article Developer Commu... · Oct 21, 2015 1m read Oscillating Between Objects and Relational:The Impedance Mismatch IntroductionImpedance mismatch is a term commonly used to describe the problem of an object-oriented (OO) application housing its data in legacy relational databases (RDBMS). C++ programmers have dealt with it for years, and it is now a familiar problem to Java and other OO programmers. #Caché #SQL 2 0 0 271
Article Developer Commu... · Oct 21, 2015 1m read Fighting Impedance Mismatch at the Database Level IntroductionWith the maturation and wide acceptance of Java, object-oriented programming has moved to the foreground of the application development landscape. Because of their rich data models and support for productivity-enhancing concepts such as encapsulation, inheritance, and polymorphism, object technologies like Java, C++, and COM, are favored by today's application developers. #Caché #SQL 0 0 0 194
Article Developer Commu... · Oct 21, 2015 1m read 20X Faster SQL. How Does Caché Do That? Customers who switch to Caché from relational databases report that their average performance is up to 20 time faster, running on the same hardware, with no changes to the application. What is it about Caché that lets applications run so fast? #Caché #SQL 0 0 0 234
Article Developer Commu... · Oct 21, 2015 1m read Caché and XML-based Data Exchange Standards IntroductionBecause of increasing business and governmental pressures to integrate their operations, the financial services industry is developing a number of standards for data exchange and other common functions. Standards such as XBRL, FpML, MDDL, RIXML, and FIXML are all specialized dialects of XML (Extensible Markup Language). Any financial services application with good support for XML will be able to communicate effectively using one or more of the emerging industry standards. #Caché #Interoperability #XML 0 0 0 216
Article Developer Commu... · Oct 21, 2015 1m read Strategies For Rapid Development of New Applications InterSystems encourages the adoption of a flexible, practical approach to application development, rather than strict adherence to one of the prevalent development theories. This paper offers advice based upon our experience. However needs, attitudes, and styles vary; we recommend that each programmer choose the development approach that works best for them. Caché supports a wide range of development methodologies, not just those recommended here. #Caché 1 0 0 77
Article Developer Commu... · Oct 21, 2015 2m read Why You Should Consider the Cloud IntroductionBy now, anybody working in the technology sector will have heard of Cloud computing. But the concept is increasingly being paid attention to outside of IT departments, with growing recognition among boardlevel executives of the potential of this range of innovations. Frequently, senior personnel are hearing stories about how the Cloud helps organizations reduce costs, boost efficiency and expand their operations, so they’ll be excited about what the Cloud can do for them. #Caché 0 0 0 133
Article Developer Commu... · Oct 21, 2015 1m read Strategic Interoperability: The Clinical and Business Imperative for Healthcare Organizations Featuring the results of the HIMSS Analytics Interoperability StudyIntroduction #HealthShare 0 0 0 234
Article Developer Commu... · Oct 21, 2015 1m read High Availability Strategies for InterSystems Caché, Ensemble, and HealthShare Foundation IntroductionThis document is intended to provide a survey of various High Availability (HA) strategies that can be used in conjunction with InterSystems Caché, Ensemble, and HealthShare Foundation. This document also provides an overview of the various types of system outages that can occur, as well as how each strategy would handle a given outage, with the goal of helping you choose the right strategy for your specific deployment.The strategies surveyed in this document are based on three different HA technologies: #Caché #Ensemble #HealthShare #System Administration #High Availability 0 0 0 282
Article Developer Commu... · Oct 21, 2015 2m read Beyond the PCEHR: Best Practices to Derive Value in the Era of Connected Care IntroductionAustralia's recent launch of the Personally Controlled Electronic Health Record (PCEHR) - a significant step towards establishing a national e-Health infrastructure - has simultaneously provided a boost to shared Electronic Patient Record (EPR) projects and delivered a wake-up call to healthcare providers about their readiness for connected care initiatives. In countries around the world, the era of connected care is here. #HealthShare 0 0 0 151
Article Developer Commu... · Oct 21, 2015 3m read Analytics of Textual Big Data: Text Exploration of the Big Untapped Data Source Introduction - Analyzing Textual Big DataBig Data for Enriching Analytical Capabilities - Big data is revolutionizing the world of business intelligence and analytics. Gartner predicts that big data will drive $232 billion in spending through 2016, Wikibon claims that by 2017 big data revenue will have grown to $47.8 billion, and McKinsey Global Institute indicates that big data has the potential to increase the value of the US health care industry by $300 billion and to increase the industry value of Europe's public sector administration by Ä250 billion. #Caché #Unstructured Data #iKnow 0 0 0 263