Welcome to the IBM® Open Data Analytics for z/OS (IzODA) content solution, your homepage for technical resources.
IzODA enables data from multiple, disconnected sources to be virtually integrated into a single, logical data source and shared with any application, providing the right data, in the right format, at the right time on z/OS®.
IzODA enables you to simplify development, implement a wide range of machine learning and AI algorithms, federate analytics with unified access to data, and accelerate analytics results.
IzODA integrates industry standard, open-source analytics technologies with advanced data access and abstraction services. The solution is designed to simplify data analysis. It combines open-source run times and libraries with analysis of z/OS data at its source, to reduce data movement and federate analytics processing, and increase the value of insights gained from leveraging current data.
Build and train models anywhere, and deploy them on IBM Z and LinuxONE infrastructure.
Install and configure IzODA. Customize Spark, Anaconda, Python, and
Plan installation options on z/OS. Procure, install, and configure prerequisite products. Note that the time to do these tasks varies, depending on the system programmer’s UNIX skills.
- Install IzODA. See also, IzODA Program Directory.
- Configure IzODA.
- Create User ID.
- For Apache Spark, customize directory structure.
- For Apache Spark, configure client authentication.
- Configure Network ports, Firewalls, Memory and CPU options.
- Configure
WLM . - Set up security authorizations and APF-authorized LOAD library data sets.
- Customize Apache Spark,
MDS , and Anaconda.
These configuration tasks can be done by the z/OS system programmer or the System/Network administrator.
Plan to configure IzODA.
- Configure IzODA.
- Configure Network ports, Firewalls, Memory and CPU options.
These tasks can also be done by the z/OS system programmer.
Plan to customize the Data Service server.
- Configure Network ports, Firewalls, Memory and CPU options.
Fanning the Spark: IBM Open Data Analytics for z/OS - Tuning Your Spark Application for Optimal Performance
Turning Data into Insight with IBM Machine Learning for z/OS
Apache Spark Implementation on IBM z/OS
Apache Spark is a Superior In-Memory Analytics Engine
IBM Open Data Analytics for z/OS – Analytics for the Enterprise
Experiences with the z/OSMF Workflow Editor
Snakes running on z/OS? IBM Open Data Analytics for z/OS – Using Anaconda and Python to analyze SMF data
Advanced Analytics: IBM Z offers options to analyze data at a deeper and quicker level
IzODA Technical Publication
Jupyter Kernel Gateway on z/OS Tips and Tricks
Real-Time Insight and Heightened Data Security - How Open Data Analytics for z/OS provides real-time insight and heightens data security
A simple demo exploring sample credit card data on z/OS using the Open Data Analytics for z/OS
Benefits of IBM Open Data Analytics for z/OS
A simple demo exploring procurement data on z/OS using the Open Data Analytics for z/OS
Build and train models anywhere, and deploy them on IBM Z and LinuxONE infrastructure.
Transcript added for IzODA overview video.