Application Programming Interface (API) is a set of subroutine definitions, protocols, and tools for building application software. In general terms, it is a set of clearly defined methods of communication between various software components.
Hi All,
We have been using DeepSee which has been the integrated Analytic Dashboard built over Cache Cubes. It works fine but it's visual capabilities are limited and most probably is getting phased out.
If I am not wrong, Tableau is the suggested alternative to DeepSee . It is expensive and a big and considerable shift from existing technology
I wanted to get an opinion of the community as to these few key points
- What other BI tools others have been using with IRIS and what have been their experience
- For which tools are the best inbuilt support / api's avaialble in IRIS
InterSystems API Manager (IAM) version 2.8.1 is now Generally Available. In addition to a spade of performance improvements and bug fixes, this release adds significant new functionality, including:
PHP, from the beginning of its time, is renowned (and criticized) for supporting integration with a lot of libraries, as well as with almost all the DB existing on the market. However, for some mysterious reasons, it did not support hierarchical databases on the globals.
Globals are structures for storing hierarchical information. They are somewhat similar to key-value database with the only difference being that the key can be multi-level:
In this webinar, we’ll discuss how you can now easily integrate Apache Kafka within InterSystems IRIS data platform, including via interoperability productions and programmatically via API calls, as both a producer as well as a consumer of Apache Kafka messages:
https://www.youtube.com/embed/UjkwbGA0kaE [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
In our previous post, we discussed the motivation for developing a chatbot agent with access to FHIR resources. In this post, we will dive into the high-level design aspects of integrating a Streamlit-based chat interface with a Java SpringBoot backend, and enabling a LangChain agent with access to FHIR (Fast Healthcare Interoperability Resources) via APIs.
https://www.youtube.com/embed/HYc5wQ0uURg [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
https://www.youtube.com/embed/e3txoPRzK_Q [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
https://www.youtube.com/embed/tgq_rvb3ZLg [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
https://www.youtube.com/embed/xnymoOjjDlY [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
I'm studying AngularJS now ( looking for a substitute for my zen-mojo application ) , I would like to understand how can I connect from the client (AngularJS) with the server , passing data & invoking methods server side.
I was understanding the cluster configuration supported by the Cache. Have couple of queries around that:
1. In Cache version 2018.2, there is a shrading concept which splits the data of a Master Data server into multiple small data server which store shraded data.
https://www.youtube.com/embed/YMQ3N_95JPc [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
https://www.youtube.com/embed/Iuf-MlcrG-E [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
Getting around to wrapping up a short tour in Professional Playtime, I wanted to share my experience at the HIMSS FHIR Connectathon I participated in out in Indy in April.
I am writing this article to tell about the application "CRUD-GLOBALS-IRISNATIVEAPI-JAVA" which is developed as part of "InterSystems IRIS Native API programming contest". The intention of this application is to manage the Globals which are in IRIS instance through java program using IRIS Native API. To use this application basic knowledge of CACHE Globals structure is required.
In this application as of now we have options to Create,View Globals and Data Search in Globals. Update and Delete will be added in next releases.
https://www.youtube.com/embed/FYq8rIqmz2w [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
Recently our team have been getting requests to pickup a large amount of data from API nightly (e.g. using ODATA to loop through pages) and placing that into MS SQL databases.
My question is, what is considered the best practice to get data from API and route to external SQL database WITHOUT persisting any messages/traces etc?
https://www.youtube.com/embed/4rBP-w0tdPQ [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
https://www.youtube.com/embed/NgSJpuJi9kI [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
As you know, it is very complicated to debug a Business Service Rest API because the object is created when the applications receive a request, so we cannot have the JobId that we can use to debug.
I have a couple of questions regarding /api/monitor and configuring it to use with SAM. In our environment we only expose port 443, so even though I define the Web Application to use unauthenticated, SAM is unable to make a connection. Is there any alternatives to get this working?
Also, even if there is a way to configure using port 443, unauthenticated access will never fly in our environment. Are there any plans to enhance SAM so it you use OAuth or even mutual TLS?
Hello Cache Developers: I was curious if anyone has ever created a TWAIN interface to their Cache Application? I am new to TWAIN and hence the reason for this question. From what I understand, TWAIN is software used by various digital imaging software and TWAIN provides an API for applications to call to be able to import images into their application. I work with a healthcare application and was wondering what types of things are required for a Cache Web Application to call the TWAIN API to be able to load images into a Cache table. Any input, sample code, or suggestions is apprec
By likes
PHP, from the beginning of its time, is renowned (and criticized) for supporting integration with a lot of libraries, as well as with almost all the DB existing on the market. However, for some mysterious reasons, it did not support hierarchical databases on the globals.
Open Exchange app
.png){kind=logo}
Hi,
I was understanding the cluster configuration supported by the Cache. Have couple of queries around that:
1. In Cache version 2018.2, there is a shrading concept which splits the data of a Master Data server into multiple small data server which store shraded data.