In the previous part of this series, we saw how to include data in a portlet from within DeepSee. This used the built in data controller. In this part, we are going to be pulling in data from outside of DeepSee. This will include both information from within InterSystems IRIS and from the OS.

Why use this?

This is useful if you would like to create a dashboard that only contains information about your system. It is also useful if you want to display data about your system along side data that you have stored in DeepSee.

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Keywords:  PyODBC, unixODBC, IRIS, IntegratedML, Jupyter Notebook, Python 3

 

Purpose

A few months ago I touched on a brief note on "Python JDBC connection into IRIS", and since then I referred to it more frequently than my own scratchpad hidden deep in my PC. Hence, here comes up another 5-minute note on how to make "Python ODBC connection into IRIS".

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Announcement
Patrick Jamieson · Mar 15, 2021
FHIR Analytics

Hi developers,

We have received quite a lot of interest in using SQL on FHIR data. As you know, FHIR data is encoded in the form of a complex directed graph, and thus you can not easily query it with traditional SQL queries or business intelligence tools. Some customers have noticed that the "FHIR search tables" in IRIS for Health have flattened part of the FHIR graph, and have tried to use them for analytics. This is an undocumented and unsupported part of IRIS for Health, and can change without notice.

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Article
Evgeniy Potapov · Jan 14 1m read
Real Webserver Logs Dataset

I'm happy to share with the community a web server log dataset from our longtime customer, an operating company.

Their webserver operates on Apache webserver and contains data which can be useful to analyse a load and search engines activity.

After installing the project, you will get the data for a few months that can show a typical load and activity of clients, robots and also you can see how it depends on day of week, holidays and time of a day.

The Cube is also included in package.

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Why log in to view pivot tables when you can have them delivered directly to your inbox? Are you in need of automated reporting for InterSystems IRIS Business Intelligence? Pivot Subscriptions is your solution: a tool for subscribing to scheduled email reports of pivot tables inside InterSystems IRIS Business Intelligence (previously known as DeepSee).

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Web Crawling is a technique used to extract root and related content (HTML, Videos, Images, etc.) from websites to your local disk. This is allows you apply NLP to analyze the content and get important insights. This article detail how to do web crawling and NLP.

To do web crawling you can choose a tool in Java or Python. In my case I'm using Crawler4J. (https://github.com/yasserg/crawler4j).

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Article
Evgeny Shvarov · Aug 13, 2021 4m read
Building Analytics Solution with IRIS

Hi developers!

How to build an analytics solution with InterSystems IRIS?

To begin with, let's agree on the points of what is the analytics solution - and this could be a very wide topic. Let's limit the set of solutions to those you can present in the Analytics contest.

There are three kinds of analytics solutions that we will review here: monitoringinteractive analytics, and reporting

Monitoring

The typical monitoring solution consists of an online dashboard with KPIs that are being actively updated.

The key use case is of monitoring is to visually observe the KPI of fresh data every moment to react in case of an emergency.

Interactive Analytics

This solution supposes a set of interactive dashboards with filters and drill-downs.

The key use case is to explore the data with filters and drill-downs making business decisions upon graph and table data visualization.

Reporting

Reporting solution provides a set of static (usually) reports in a form of HTML or pdf documents that deliver the data in graph and text form in a predesigned form and could be sent via email.

The typical use case of a reporting system is to obtain reports on a given period that will illustrate the status of the product, process, service, sales, etc that is crucial for the business.

How InterSystems products could be used to build such solutions? Let's discuss this below!

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Hello InterSystems Community,

We're excited to announce that we've completed our first Open Exchange submission for InterSystems platforms.

BridgeWorks VDM is an ad hoc reporting and graphical SQL query builder application that was designed for any user who needs access to their SQL projections in InterSystems Caché, InterSystems IRIS, InterSystems IRIS for Health databases as well as access to InterSystems DeepSee and InterSystems IRIS BI Cubes with minimal SQL scripting experience.  

VDM features:

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Episode 17 of Data Points features a roundtable conversation with Carmen Logue, Benjamin De Boe, and Thomas Dyar about the Analytics & AI area of the InterSystems technology stack. Learn from these product experts about the various technologies and partnerships that exist within the Analytics & AI space at InterSystems, how some customers use these tools, and what might be coming in the future.

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Hi Developers!

Here're the technology bonuses for the InterSystems Analytics contest that will give you extra points in the voting.

Adaptive Analytics (AtScale) Cubes usage - 4 points
InterSystems Adaptive Analytics provides the option to create and use AtScale cubes for analytics solutions.

You can use the AtScale server we set up for the contest (URL and credentials can be collected in the Discord Channel) to use cubes or create a new one and connect to your IRIS server via JDBC.

The visualization layer for your Analytics solution with AtScale can be crafted with Tableau, PowerBI, Excel, or Logi.

Documentation, AtScale documentation

Training

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Hi guys!

I'd like to present you my new project: iris-analytics-notebook, a notebook approach to use IRIS analytics capabilities.

Project description

In past few years, notebooks tools like Jupyter are gaining popularity due its natural way to express ideias.

An almost unipresent tool for data scientists, notebook can also help to improve the impact of analytics tools for all sort of users.

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Hi Developers!

This is an anniversary announcement to celebrate 6,000 members on InterSystems Developers!

There are some other good figures came: 

  • we have more than 5,000 posts with almost 1,000 articles. (956 to the moment).
  • Also, we are close to having 20,000 answers and comments and 2,000,000 reads for DC postings.

And we have the Spanish Community for 2 months running! Join Spanish DC!

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Hello Community,

Thank you all for your continued feedback and support of our ad hoc reporting platform, VDM.  There's been some questions around setting up a non-ODBC connection for InterSystems platforms.  We published a new YouTube video showing the steps necessary to connect to InterSystems Caché and InterSystem IRIS with BridgeWorks VDM. 

 

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Now available on Open Exchange is a library of third party charts available to use within DeepSee/InterSystems IRIS BI dashboards. To start, simply download and install, select the new portlet as the widget type, then select the chart type that you desire. If you don't find the type of chart you are looking for, you can easily extend the portlet to implement your desired chart type. These new chart types can be used within existing dashboards or you can create new dashboards using them.

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The OKR methodology (Objectives and Key Results or Objectives and Key Results) is used by the largest companies in the world (such as Google, Netflix, Spotify, BMW, Linkedin, etc.) for agile performance management. It was created in the 1970s by Andrew Grove, president of Intel, and introduced to the general public in his famous book “High Output Management”.

Around 1998 John Doerr, one of the world's top venture capitalists, after coming into contact with Intel's OKR, introduced the model to Larry Page and Sergey Brin, who started a small company called Google.

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