Hi,
I'm sure I'm not the only one who's already assembling matching pairs of socks for this year's Global Summit in Boston later this month 
. In case you haven't registered yet or are still looking for the right justification to get the eventual approval to attend, here's a quick overview of all the sessions around Data Management and Analytics:
Hi,
While we're working on a new data product supporting the analytics development process, we'd like to test some of the UX (User eXperience) design elements on a real audience. If you've got some battle scars from earlier analytics work and are interested in participating, please complete this survey and we'll get in touch when we have something to show!
Feel free to share this survey with your data-savvy friends and colleagues if you think they match the profile.
Thanks in advance for your participation!
Hi all,
In order to prioritize functional requirements for evolving our SQL developer experience, we have prepared a short survey to better understand how you’re currently using and, in an ideal world, would like most to interact with our SQL platform.
https://www.surveymonkey.com/r/DSY6YT2
Don’t hesitate to forward this survey informally to your peers you know are accessing our SQL engine on a regular basis. There’s a disclaimer at the top that indicates we are highly interested in feedback to drive our roadmap, but obviously cannot commit to implementing all of it.
Running predictive models natively in an InterSystems IRIS Business Process has of course always been the goal of our PMML support, but somehow never made it into the kit because there were a few dependencies and choices that needed addressing and answering. Anyhow, thanks to some pushing and code kindly provided by @Amir Samary (Thanks again Amir!), we finally got it wrapped in a GitHub repo for your enjoyment, review and suggestions.
Hi,
As we announced at our Global Summit in October, we are developing dedicated connectors for a number of third-party data visualization tools for InterSystems IRIS. With these connectors, we want to combine an excellent user experience with optimal performance when using those tools to visualize data managed on InterSystems IRIS Data Platform.
We’re now less than a month away from our annual conference, the InterSystems Global Summit. This year, we’ll be descending on the beautiful outskirts of San Antonio, a city worth visiting for its wonderful river walkway and its 18th century Spanish Mission, even if it hadn’t been the location of this year’s InterSystems event. Leaving the tourist guidance to the tourist guides, let’s take a closer look at what the conference has in stock for you, including a dedicated post-summit symposium on AI and ML on Wednesday October 3!
With the release of InterSystems IRIS, we're also making available a nifty bit of software that allows you to get the best out of your InterSystems IRIS cluster when working with Apache Spark for data processing, machine learning and other data-heavy fun. Let's take a closer look at how we're making your life as a Data Scientist easier, as you're probably already facing tough big data challenges already, just from the influx of job offers in your inbox!
Last week, we announced the InterSystems IRIS Data Platform, our new and comprehensive platform for all your data endeavours, whether transactional, analytics or both. We've included many of the features our customers know and loved from Caché and Ensemble, but in this article we'll shed a little more light on one of the new capabilities of the platform: SQL Sharding, a powerful new feature in our scalability story.
If you've worked with iKnow domain definitions, you know they allow you to easily define multiple data locations iKnow needs to fetch its data from when building a domain. If you've worked with DeepSee cube definitions, you'll know how they tie your cube to a source table and allow you to not just build your cube, but also synchronize it, only updating the facts that actually changed since the last time you built or synced the cube. As iKnow also supports loading from non-table data sources like files, globals and RSS feeds, the same tight synchronization link doesn't come out of the box. In
This earlier article already announced the new iKnow REST APIs that are included in the 2017.1 release, but since then we've added extensive documentation for those APIs through the OpenAPI Specification (aka Swagger), which you'll find in the current 2017.1 release candidate. Without wanting to repeat much detail on how the APIs are organised, this article will show you how you can consult that elaborate documentation easily with Swagger-UI, an open source utility that reads OpenAPI specs and uses it to generate a very helpful GUI on top of your API.
This article contains the tutorial document for a Global Summit academy session on Text Categorization and provides a helpful starting point to learn about Text Categorization and how iKnow can help you to implement Text Categorization models. This document was originally prepared by Kerry Kirkham and Max Vershinin and should work based on the sample data provided in the SAMPLES namespace.
In a conference call earlier this week, a customer described how they built an iKnow domain with clinical notes and now wanted to filter the contents of that domain based on the patient's diagnosis codes. With such filters, they wanted to explore the corellations between iKnow entities and certain diagnosis codes, first through the Knowledge Portal to get a good sense of the sort of entities and then through more analytical means with the aim of eventually building smart early warning systems.
In previous articles on iKnow, we described a number of demo applications (iKnow demo apps parts 1, 2, 3, 4 & 5) that are either part of the regular kit or can be easily installed from GitHub. All of those applications assumed you already had your iKnow domain ready, with your data of interest loaded and ready for exploration. In this article, we'll shed more light on how exactly you can get to that stage: how you define and then build a domain.
After a five-part series on sample iKnow applications (parts 1, 2, 3, 4, 5), let's turn to a new feature coming up in 2017.1: the iKnow REST APIs, allowing you to develop rich web and mobile applications. Where iKnow's core COS APIs already had 1:1 projections in SQL and SOAP, we're now making them available through a RESTful service as well, in which we're trying to offer more functionality and richer results with fewer buttons and less method calls. This article will take you through the API in detail, explaining the basic principles we used when defining them and exploring the most
Earlier in this series, we've presented four different demo applications for iKnow, illustrating how its unique bottom-up approach allows users to explore the concepts and context of their unstructured data and then leverage these insights to implement real-world use cases. We started small and simple with core exploration through the Knowledge Portal, then organized our records according to content with the Set Analysis Demo, organized our domain knowledge using the Dictionary Builder Demo and finally build complex rules to extract nontrivial patterns from text with the Rules Builder Demo.
This is the fourth article in a series on iKnow demo applications, showcasing how the concepts and context provided through iKnow's unique bottom-up approach can be used to implement relevant use cases and help users be more productive in their daily tasks. Previous articles discussed the Knowledge Portal, the Set Analysis Demo and the Dictionary Builder Demo, each of which gradually implemented slightly more advanced interactions with what iKnow gleans from unstructured data.
This is the third article in a series on iKnow demo applications, showcasing how the concepts and context provided through iKnow's unique bottom-up approach can be used to implement relevant use cases and help users be more productive in their daily tasks. Previous articles discussed the Knowledge Portal, a straightforward tool to browse iKnow indexing results, and the Set Analysis Demo, in which you can use the output of iKnow indexing to organize your texts according to their content, such as in patient cohort selection.
This is the second article in a series on iKnow demo applications, showcasing how the concepts and context provided through iKnow's unique bottom-up approach can be used to implement relevant use cases and help users be more productive in their daily tasks. Last week's article discussed the Knowledge Portal, a straightforward tool to browse iKnow indexing results.
InterSystems' iKnow technology allows you to identify the concepts in natural language texts and the relations that link them together. As that's still a fairly abstract definition, we produced this video to explain what that means in more detail. But when meeting with customers, what really counts is a compelling demonstration, on data that makes sense to them, so they understand the value in identifying these concepts over classic top-down approaches. That's why it's probably worth spending a few articles on some of the demo apps and tools we've built to work with iKnow.
Presenter: Benjamin De Boe
Task: Extract specialized information from your unstructured data
Approach: Combine InterSystems iKnow technology with third-party and custom text-processing tools
This session explains how you can easily combine ISC, third-party and custom text processing tools to get the broadest insights in your unstructured data.
Content related to this session, including slides, video and additional learning content can be found here.
Presenter: Benjamin De Boe
Task: Perform advanced analytics on huge amounts of data
Approach: Use third-party analytics frameworks to leverage your entire clustered environment
In this session, we’ll explain what machine learning means and how it can help you gain insights in vast amounts of data, leveraging complex environments.
Content related to this session, including slides, video and additional learning content can be found here.
Is there a possibility to map a CSP page residing in namespace ABC to a namespace XYZ so you could access it as if executing from XYZ: http://localhost:57772/csp/xyz/MyPage.csp ? Some odd cocktail of web application and package mappings that could make this happen?
The idea is to keep the CSP page in sort of a read-only namespace that only contains code, with the data residing in another namespace. This works for zen pages, but not for CSP.
When refreshing a html or tablePane component using refreshContents() that takes a lot of server-side-processing, I'm running into timeouts every now and then. i.e., the result for the tablePane is that there's nothing displayed at all.
How can we configure (relax) that timeout so also those heavier ones get refreshed eventually? Just overriding %request.Timeout in %OnPreHTTP did not seem to do the trick.
A simple and rather automated search portal leveraging iFind capabilities for rich text search in 2016.1. It has simple faceting, result ranking, highlighting of search results etc and just works off any table you point it to that has an iFind index by appending ?t=MyPackage.TableName to the URL.
See also https://github.com/bdeboe/isc-iknow-ifindportal for more details and the latest version.