#Big Data

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Big data is a field that treats ways to analyze, systematically extract information from. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. 

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Hi Community!

We are pleased to invite all the developers to the upcoming InterSystems Analytics Contest Kick-off Webinar! The topic of this webinar is dedicated to the Analytics contest.

On this webinar, we’ll demo the iris-analytics-template and answer the questions on how to develop, build, and deploy Analytics applications using InterSystems IRIS.

Date & Time: Monday, December 7 — 12:00 PM EDT

Speakers:
🗣 @Carmen Logue, InterSystems Product Manager - Analytics and AI
🗣 @Evgeny Shvarov, InterSystems Developer Ecosystem Manager

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Greetings community. I would like to know how to migrate a BD in production to a local environment. When I have a system in production (BD Sql Server) what we do is mount a local copy to do the analysis with the data and not occupy resources of the system in production. My question is: How do you do it with Intersystems technology?

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Hey Community,

This session provides more detail about the Smart Data Fabric announcement at #VSummit'21:

⏯ Introducing the Smart Data Fabric

https://www.youtube.com/embed/00ilwHJY6B4
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Hi Community!

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ Big Data in InterSystems IRIS

https://www.youtube.com/embed/1X-O7-QWBsk
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Hi everyone.
We are a team of company "Constructor" and we develop cutting edge cartographic systems. Recently the amount of image data skyrocketed so we want to give our users the ability to tie images to places automatically. For that, we want to use AI/ML technologies and we have a cool task for you.

https://cloud.mail.ru/public/pHbC/4r7Z58m6f/

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High-Performance Message Searching in Health Connect

The Problem

Have you ever tried to do a search in Message Viewer on a busy interface and had the query time out? This can become quite a problem as the amount of data increases. For context, the instance of Health Connect I am working with does roughly 155 million Message Headers per day with 21 day message retention. To try and help with search performance, we extended the built-in SearchTable with commonly used fields in hopes that indexing these fields would result in faster query times. Despite this, we still couldn't get some of these queries to finish at all.

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Hello,

Our software commonly returns a full result set to the client and we use the DataTables plugin to display table data. This has worked well, but at datasets grow larger, we are trying to move some of these requests server-side so the server handles the bulk of the work rather than the client. This has had me scratching my head in so many ways.

I'm hoping I can get a mix of general best practice advice but also maybe some IRIS specific ideas.

Some background

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Hello My Friends,

I have a question how to use order by %DLIST, this is my code:

SELECT

$ListToString(%DLIST(DISTINCT MRDIA_ICDCode_DR->MRCID_Code),', ' ) ICDX,

$ListToString(%DLIST(DISTINCT (MRDIA_ICDCode_DR->MRCID_Desc || ' (' || MRDIA_DiagnosisType_DR->DTYP_Code || ')')),', ' ) Diagnose

FROM SQLUser.PA_Adm

LEFT JOIN SQLUser.PA_AdmInsurance ON (PAADM_RowID = INS_ParRef AND INS_Rank = 1)

LEFT JOIN SQLUser.PA_AdmPackage ON (PAADM_RowID = PACK_ParRef)

LEFT JOIN SQLUser.MR_Adm on MRADM_ADM_DR = PAADM_RowID

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Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Big Data, AI and ChatGPT in Healthcare @ Global Summit 2024

https://www.youtube.com/embed/WjdO7fZmm5c
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