#Distributed Data Management

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 Distributed Data Management is a  software architecture for creating, managing and accessing data on a remote computer.

Learn more.

    Hi, 

   I  like to validate some use cases and have the following question. I am relatively new to IRIS. Perhaps someone can help:

   1. I have a global m[x,y,z,f] distributed across multiple sharded instances
   2. I know that i can set assign computed SQL expressions to class variables using Objectscript 
   3. Is there a possibility in Globals API to do the same ? Set f = x + y as a computed expression in the global  m[x,y,z,f]  ?

       a.  We would want to use the global API to change f programmatically using code

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Article
Robert Cemper · Mar 26, 2019 2m read
Synchronize Data with DSTIME

 For Data Synchronization inside Caché you have a range of ways to synchronize objects and tables.
At DB level you can use Shadowing  or Mirroring 

This works excellent and if you need just a part of your data to be synchronized you may split your
data into smaller pieces using Global mapping 
Or if you need bi-directional synchronization on Class/Table level you can use the Object Synchronization Feature 


The limit of all these excellent features:
They just work from Caché/IRIS to Caché/IRIS.

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Article
Robert Cemper · May 30, 2019 2m read
Background Jobs over ECP 
This is a coding example working on Caché 2018.1.3 and IRIS 2020.2 
It will not be kept in sync with new versions 
It is also NOT serviced by InterSystems Support !

Running a Background Job using JOB command is a well-known feature.
Using ECP to distribute databases to several servers is also well know.
But using the combination of both to run a process on a different server
seems to be a rare case.

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With the release of InterSystems IRIS, we're also making available a nifty bit of software that allows you to get the best out of your InterSystems IRIS cluster when working with Apache Spark for data processing, machine learning and other data-heavy fun. Let's take a closer look at how we're making your life as a Data Scientist easier, as you're probably already facing tough big data challenges already, just from the influx of job offers in your inbox!

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Last week, we announced the InterSystems IRIS Data Platform, our new and comprehensive platform for all your data endeavours, whether transactional, analytics or both. We've included many of the features our customers know and loved from Caché and Ensemble, but in this article we'll shed a little more light on one of the new capabilities of the platform: SQL Sharding, a powerful new feature in our scalability story.

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Learning Services Live Webinars are back! 

At this year’s Global Summit, InterSystems debuted InterSystems IRIS Data Platform™, a single, comprehensive product that provides capabilities spanning data management, interoperability, transaction processing, and analytics. InterSystems IRIS sets a new level of performance for the rapid development and deployment of data-rich and mission-critical applications. Now is your chance to learn more! 

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Article
Alexey Maslov · Nov 17, 2016 11m read
ECP and Process Management API

The technology of load balancing between several servers with relatively low capacity has been a standard feature of Caché for quite a while. It is based on the distributed cache technology called ECP (Enterprise Cache Protocol). ECP provides a host of possibilities for horizontal scaling of an application, and yet keeping the project budget fairly low. Another apparent advantage of ECP network is the possibility to conceal its architecture in the depths of Caché configuration so that applications developed for the traditional (vertical) architecture can be fairly easily migrated to a horizontal ECP environment. The ease of this process is so mesmerizing, that you start wishing it was always this way. For instance, everybody is used to having a possibility to control Caché processes: the $Job system variable and associated classes/functions work magic in skilful hands. Stop, but now processes can end up being on different Caché servers…

This article is about how to gain as much transparency in controlling processes in ECP environment as in traditional (non ECP) one.

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We are finally planning to migrate some ancient Caché applications that are run on Caché 5.0.21 to a new server with Caché 2016.2.0 or so.

I wonder if we could use Shadowing between those to keep the data on the new server up to date?

We would copy the Caché backup from the old environment to the new and do a RESTORE there and then start shadowing.

I know than 5.0.21 is no more officially supported by ISC.

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