Previously I have already tried to play with Google Data Studio when I connected it to InterSystems FHIRaaS. It has quite a nice UI, with a few chart types available out of the box, it can be quite easily connected to some plain tables (stored as CSV or JSON, for instance), and gives the ability to build quite flexible analytics over it. So, I have decided to implement a new connector to InterSystems Analytics (DeepSee), with the ability to select a cube and do some queries on it.

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Hi Community,

New video is already on InterSystems Developers YouTube:

Poor Man's Analytics with Rich SQL

https://www.youtube.com/embed/gDI2yqvExEc
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We recently published a new White Paper on the use of reporting nodes ("asynchronous reporting mirror members" in full) in a mirrored environment. More and more customers are looking into this mechanism as a quick and easy way to set up a copy of their production data that stays current, yet can be used for analytical querying or heavy-duty reporting workloads without impacting the source system. Read the White Paper here.

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Hi, Community!

This week we have two videos.

Please find the second Developer Community Video of the week on InterSystems Developers YouTube Channel:

Turning Accountants into Explorers

https://www.youtube.com/embed/2wG17vzXTy4
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This year's Virtual Summit has more content around Analytics and AI than ever before. We've made this quick video to guide you through the program and put things into context with respect to InterSystems overall strategy for Data & Analytics.

https://www.youtube.com/embed/fTcNimWi2y0
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Hi Community,

Enjoy watching the new video on InterSystems Developers YouTube:

Querying 6 Terabytes of Protected Health Information at Northwell @ Global Summit 2022

https://www.youtube.com/embed/66rZCdX7m8U
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Hey Community,

Click play and immerse yourself in our fresh video on InterSystems Developers YouTube:

Adaptive Analytics in Action - Two Customer Use Cases @ Global Summit 2023

https://www.youtube.com/embed/tfUcHFnL6wM
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When using Related Cubes in InterSystems IRIS BI, cubes must be built in the proper order. The One side must be built before the Many side. This is because during build time for the Many side, it looks up the record on the One side and creates a link. If the referenced record is not found on the One side, a Missing Relationship build error is generated. The One side is going to be the independent side of the relationship, AKA the side of the relationship that is referenced by the Many side or the Dependent cube. For example: Patients contain a reference to their Doctor.

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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 Community,

Watch this video to see InterSystems IRIS in action as it is applied to real-world use cases, including business 360 and real-time analytics processing:

InterSystems IRIS Live Demos @ Global Summit 2022

https://www.youtube.com/embed/pntzJY4pgA8
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Article
· 19 hr ago 4m read
What about DMN?

A few months ago, I faced a significant challenge: streamlining the handling of business logic in our application. My goal was to extract the business logic from the code and hand it over to analysts. Dealing with a multitude of rules could easily result in a code littered with countless "if" statements, especially if the coder lacked an understanding of cyclomatic complexity. Such code becomes a source of pain for those working with it—difficult to write, test, and develop.

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Hi, Community!

Please find a new session recording from Global Summit 2017:

An InterSystems Guide to the Data Galaxy

https://www.youtube.com/embed/cudBxwI1xTA
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Hi Community!

Two more new videos are already on InterSystems Developers YouTube Channel:

1. Machine Learning - How it Works - Part 1

https://www.youtube.com/embed/47M8FWB5C5Y
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2. Machine Learning - How it Works - Part 2

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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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Hey Developers,

New video is already on InterSystems Developers YouTube channel:

InterSystems HealthShare Analytics Solution: Create & Deliver Real-Time Insight at Scale

https://www.youtube.com/embed/PbSKedG25eA
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With the improvement of living standards, people pay more and more attention to physical health. And the healthy development of children has become more and more a topic of concern for parents. The child's physical development can be reflected from the child's height and weight. Therefore, it is of great significance to predict the height and weight in a timely manner.

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Hi Everyone!

New session recording from Global Summit 2017 is already on InterSystems Developers YouTube:

Predicting Your Manhattan Cab Ride Fare

https://www.youtube.com/embed/E3o87dMxamE
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Hi Community,

Enjoy watching the new video on InterSystems Developers YouTube:

iKnow: Open Source NLP in InterSystems IRIS

https://www.youtube.com/embed/n-TL_Wh7Tv4
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Today we will talk about Adaptive Analytics. This is a system that allows you to receive data from various sources with a relativistic data structure and create OLAP cubes based on this data. This system also provides the ability to filter and aggregate data and has mechanisms to speed up the work of analytical queries.

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