InterSystems IRIS

The following code snippet uses GZIP to compress/decompress a file. Choose a file by specifying a file path in the "filename" variable

Hi Community!

New video is already on DC YouTube Channel:

Data Platform Scalability

The following code allows a user to view the audit settings of their instance. Run the code by running the class method "test"

Hi all. Today we are going to use k-means algorithm on the Iris Dataset.

Note: I have done the following on Ubuntu 18.04, Apache Zeppelin 0.8.0, python 3.6.5.

Introduction

K-Means is one of the simplest unsupervised learning algorithms that solves the clustering problem. It groups all the objects in such a way that objects in the same group (group is a cluster) are more similar (in some sense) to each other than to those in other groups. For example, assume you have an image with a red ball on the green grass. K-Means will split all pixels into two clusters. The first cluster will contain the pixels of the ball, the second cluster will contain the pixels of the grass

Hi, 
I have general question regarding the InterSystems Platform.
Which features does the platform have, that the other similar platforms doesn't have? 

Often InterSystems technology architect team is asked about recommended storage arrays or storage technologies.  To provide this information to a wider audience as reference, a new series is started to provide some of the results we have encountered with various storage technologies.  As a general recommendation, all-flash storage is highly recommended with all InterSystems products to provide the lowest latency and predictable IOPS capabilities.

The first in the series was the most recently tested Netapp AFF A300 storage array.  This is middle-tier type storage array with several higher models above it.  This specific A300 model is capable of supporting a minimal configuration of only a few drives to hundreds of drives per HA pair, and also capable of being clustered with multiple controller pairs for tens of PB's of disk capacity and hundreds of thousands of IOPS or higher. 

In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

• Git 101
• Git flow (development process)
• GitLab installation
• GitLab Workflow
• Continuous Delivery
• GitLab installation and configuration
• GitLab CI/CD
• Why containers?
• Containers infrastructure
• CD using containers
• CD using ICM

In this article, we'll build Continuous Delivery with InterSystems Cloud Manager. ICM is a cloud provisioning and deployment solution for applications based on InterSystems IRIS. It allows you to define the desired deployment configuration and ICM would provision it automatically. For more information take a look at First Look: ICM.

Hi all. Yesterday I tried to connect Apache Spark, Apache Zeppelin, and InterSystems IRIS. During the process, I experienced troubles connecting it all together and I did not find a useful guide. So, I decided to write my own.

Introduction

What is Apache Spark and Apache Zeppelin and find out how it works together. Apache Spark is an open-source cluster-computing framework. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. So, it is very useful when you need to work with Big Data. And Apache Zeppelin is a notebook, that provides cool UI to work with analytics and machine learning. Together, it works like this: IRIS provides data, Spark reads provided data, and in a notebook we work with the data.

Note: I have done the following on Windows 10

In this post, I am going to detail how to set up a mirror using SSL, including generating the certificates and keys via the Public Key Infrastructure built in to InterSystems IRIS Data Platform. I did a similar post in the past for Caché, so feel free to check that out here if you are not running InterSystems IRIS. Much like the original, the goal of this is to take you from new installations to a working mirror with SSL, including a primary, backup, and DR async member, along with a mirrored database. I will not go into security recommendations or restricting access to the files. This is meant to just simply get a mirror up and running. Example screenshots are taken on a 2018.1.1 version of IRIS, so yours may look slightly different.

Let's say I have a user-generated document template with placeholders and I want to replace them with actual values.

Values could be:

• scalars
• tables
• ...?

So far I wrote a simple find/replace tool that works with RTF format (because it's not a binary format), here's how it works:

set template = "D:\Cache\RTF\template.rtf"
set var("%title") = "Hello"
set var("%table") = $lb("Utils.RTF", "TestFunc")
set result = "D:\Cache\RTF\out.rtf"
set sc = ##class(Utils.RTF).replace(template, .var, result)

There should be two placeholders in RTF template: %title and %table and the are replaced with "Hello" and  results of Test query from Utils.RTF class, serialized into a table.

Template:

Output

When you hear people talk about moving their applications to the cloud, are you unsure of what exactly they mean? Do you want a solution for migrating your local, physical servers to a flexible, efficient cloud infrastructure? 

Join Luca Ravazzolo for Introducing InterSystems Cloud Manager, (May 17th, 2:00 p.m. EDT). In this webinar, Luca — Product Manager for InterSystems Cloud Manager — will explain cloud technology and how you can move your InterSystems IRIS infrastructure to the cloud in an operationally agile fashion. He will also be able to answer your questions following the webinar about this great new product from InterSystems!

This post provides useful links and an overview of best practice configuration for low latency storage IO by creating LVM Physical Extent (PE) stripes for database disks on InterSystems Data Platforms; InterSystems IRIS, Caché, and Ensemble.

Consistent low latency storage is key to getting the best database application performance. For applications running on Linux, Logical Volume Manager (LVM) is often used for database disks, for example because of the ability to grow volumes and filesystems or create snapshots for online backups. For database applications the parallelism of writes using LVM PE striped logical volumes can also help increase performance for large sequential reads and writes by improving the efficiency of the data I/O

Hi all,

Anyone who is planning to attend CEBIT 2018 in Hannover should make sure to join us on June 13 from 2pm to 5pm for a technical deep-dive into our new InterSystems IRIS Data Platform™ technology.

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!