Today, is important analyze the content into portals and websites to get informed, analyze the concorrents, analyze trends, the richness and scope of content of websites. To do this, you can alocate people to read thousand of pages and spend much money or use a crawler to extract website content and execute NLP on it. You will get all necessary insights to analyze and make precise decisions in a few minutes.
Can anyone help me about Global ^Errors? Only in 1 specific namespace is it growing fastly. It grows from 2 to 3 Gb per hour when all services are active. Which commands exactly do this? In another similar namespaces, there is not that Global in the class list.
In InterSystems IRIS, the default form of access to the management portal is HTTP, which means that if the client is in the office and the server is in the cloud, many clients probably desire to encrypt their traffic in some way.
Thus, we would like to show you some ways to encrypt your traffic to and from the IRIS management portal (or various REST services) running on AWS.
Caché running on Windows Server includes a built in telnet service. Unfortunately though telnet is a plain text protocol, which generates a security violation from our network security scanner. Is there a way to replace telnet with SSH to connect to a Caché system running on Windows 2012 R2?
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.
Hi community, I used website-analyzer - an app that uses InterSystems NLP and Crawler4J to extract all website content and do NLP on it. I limited to 200 pages and discovered this:
Top 10 Concepts - business and content topics in the InterSystems site:
Other frequency concepts, see the focus in the iris speed, scale and data value:
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Do you have a guide or tutorial with recommendations to configure IRIS to a production environment? The better strategies, recommended disk, memory and processing settings, etc?
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I have a case where I need to look up the NPI provider against an External MS SQL database to retrieve our Provider Identifier to send to a downstream system. In the past I would use a Business Process (BPL) to connect to the outside MS SQL via JDBC and get that information for me. But I was thinking instead of creating a BPL process to do this, would it be better just to link to the outside MS SQL database table to retrieve the information in a SQL statement within a DTL?
Languages like Java and C++ allows to develop a multi-threaded program with two or more parts that can run concurrently and each part can handle a different task at the same time making optimal use of the available resources specially when your computer has multiple CPUs. Is it possible In ObjectScript? If yes, Where I can get a good sample or application?
We are working with a vendor who only accepts JSON as payload. We are currently still on Cache/HealthShare, not IRIS. Since we have to send Continuity of Care Documents, this raises issues with Long Strings (some CCDs can be quite large and in addition to that, they have to be b64-encoded which increases their size even more).
My question is: if we were to go on IRIS and use %JSON.Adapter, storing the encoded Stream in an object's Stream property, would calling %JSONExport() on this object produce the desired JSON? Or would we have to call %JSONExportToStream()?
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I need to know what permissions or resources, apart from read for the tables, a user would need to view the catalog via ODBC? The ODBC user can run queries sucessfully but cannot get the catalog from the DB via ODBC. Whereas a a user with %All can fetch the catalog.