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#Databases

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InterSystems Caché database is a file where all the data, application scripts, and users, roles and security configurations are stored. Typically the name of the file is cache.dat.

Documentation.

Hi Community,

This post is a introduction of my openexchange iris-python-apps application. Build by using Embedded Python and Python Flask Web Framework.
Application also demonstrates some of the Python functionalities like Data Science, Data Plotting, Data Visualization and QR Code generation.

image

Features

  • Responsive bootstrap IRIS Dashboard

  • View dashboard details along with interoperability events log and messages.

  • Use of Python plotting from IRIS

  • Use of Jupyter Notebook

  • Introduction to Data Science, Data Plotting and Data Visualization.

  • QR Code generator from python.

Open Exchange app
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About regulations

Personal data privacy regulations have become an indispensable requirement for projects dealing with personal data. The compliance with these laws is based on 4 principles:

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In the modern world, the most valuable asset for companies is their data. Everything from business processes and applications to transactions is based on data which defines the success of the organization's operations, analysis, and decisions. In this scenario, the data structures need to be ready for frequent changes, yet in a managed and governed way. Otherwise, we will inevitably lose money, time, and quality of corporate solutions.

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Hi, Community!

Want to improve accuracy and data integrity in your relational databases? Learn a key strategy in this video:

Setting Up SQL Foreign Key Constraints

https://www.youtube.com/embed/-kDpp6kq7Ns?utm_source=youtube&utm_medium=social&utm_campaign=-kDpp6kq7Ns
[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]

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Problems with Strings

I am accessing IRIS databases with JDBC (or ODBC) using Python. I want to fetch the data into a pandas dataframe to manipulate the data and create charts from it. I ran into a problem with string handling while using JDBC. This post is to help if anyone else has the same issues. Or, if there is an easier way to solve this, let me know in the comments!

I am using OSX, so I am unsure how unique my problem is. I am using Jupyter Notebooks, although the code would generally be the same if you used any other Python program or framework.

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In this GitHub we gather information from a csv, use a DataTransformation to make it into a FHIR object and then, save that information to a FHIR server all that using only Python.

The objective is to show how easy it is to manipulate data into the output we want, here a FHIR Bundle, in the IRIS full Python framework.

Open Exchange app
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In this article I will explain the usage of %SQL_Diag.Result and %SQL_Diag.Message table along with all-new LOAD DATA functionality.

It is recommended to go through LOAD DATA documentation first.

After successful operation LOAD DATA insert one record in %SQL_Diag.Result table and details are inserted in %SQL_Diag.Message table


Below is the basic command when table is already created and source file does not contain header row. 

LOAD DATA FROM FILE 'C://TEMP/mydata.txt' 
INTO MyTable

The file name must include a .txt or .csv (comma-separated values) suffix and both source and target have the same sequence of data columns.

Loading from File Source: Header

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Hi Community,

New video is already on InterSystems Developers YouTube:

⏯ Updates on Security: OpenSSL and a New "Security" Database

https://www.youtube.com/embed/Eb5kPw8-l08
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Hi everyone,

I am talking from Brazil and we have one very important customer that requested our support to find a consultant, deeply specialized in Cache that could work with us attending this customer. It has a tons of data and its core application is based on Cache.

If you are interested send me an email with the subject title - Cache consultant opportunity - and we will make contact with you. The main request is how strong are your skills in cache and it would be considered a differentiator if you are a portuguese speaker.

Regards - Helberth Cavalcante.

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In this article I'd like to share with you a phenomena that is best you avoid - something you should be aware of when designing your data model (or building your Business Processes) in Caché or in Ensemble (or older HealthShare Health Connect Ensemble-based versions).

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Introduction

In the first article in this series, we’ll take a look at the entity–attribute–value (EAV) model in relational databases to see how it’s used and what it’s good for. Then we'll compare the EAV model concepts to globals.

Open Exchange app
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Caché Monitor is a database\sql tool primarily for InterSystems Caché but can also connect to MS SQL Server, MS Access and more databases. Within Caché Monitors Server Navigator you see all available Namespaces on your Caché Servers. No need to know the name of the Namespace, no need to configure many many JDBC Connections by hand. Just click on the namespace and see all objects like tables, views, classes and more...

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If you're migrating from Oracle to InterSystems IRIS—like many of my customers—you may run into Oracle-specific SQL patterns that need translation.

Take this example:

SELECT (TO_DATE('2023-05-12','YYYY-MM-DD') - LEVEL + 1) AS gap_date
FROM dual
CONNECT BY LEVEL <= (TO_DATE('2023-05-12','YYYY-MM-DD') - TO_DATE('2023-05-02','YYYY-MM-DD') + 1);

In Oracle:

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