Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary


Mainframe Programming vs. Woonix Programming

The differences between the Woonix (Windows and/or Unix) world and the world of classic IBM mainframe operating systems exist not because the mainframing world is clueless. Rather, it exists because the two different worlds often accomplish different missions in different ways.

Despite the differences at which some Woonix programmers bristle, mainframe programming is still computer programming, and it is deucedly interesting.

I've compiled a little chart of a few obvious contrasts between classic IBM mainframe opearting systems and Woonix. It's a subjective, impressionistic selection from a fan of both Mainframes and Woonix.



The differences between the Woonix (Windows and/or Unix) world and the world of classic IBM mainframe operating systems exist not because the mainframing world is clueless. Rather, it exists because the two different worlds often accomplish different missions in different ways.

Despite the differences at which some Woonix programmers bristle, mainframe programming is still computer programming, and it is deucedly interesting.

I've compiled a little chart of a few obvious contrasts between classic IBM mainframe opearting systems and Woonix. It's a subjective, impressionistic selection from a fan of both Mainframes and Woonix.

IBM Classic Mainframe Operating Systems
Woonix
record-based
stream-based
database-oriented
file-oriented
administration-oriented
user-oriented
infinite flat storage
limited hierarchical storage
programming-based
user utility application-based
rewards low-level programming
rewards high-level programming

In the above, the term "mainframe operating system" is used very loosely to mean:

  • i/OS
    • a.k.a. the Operating System Formerly Known As OS/400
  • z/OS
    • a.k.a. the Operating System Formerly Known As MVS and OS/390
  • z/VM
    • a.k.a. the Operating System Formerly Known As
      • VM
      • VM/370
      • VM/SP
      • VM/ESA
  • the Operating System Formerly Known As DOS/VSE and I am too lazy to figure out how IBM calls this one nowadays.

Let's examine the chart rows.

record-based
stream-based

For business reasons, Mainframes took The Road Not Travelled some time ago. Woonixists might believe that this is perverse of the mainframe, but really, if you service the IRS, it makes quite a bit of sense.

database-oriented
file-oriented

If everything is a database instead of a stream file, you discover really cool ways of dealing with records and really cool things to do with records.

administration-oriented
user-oriented

Screw interactive users. Mainframes are about running 24/7 for years without reboot. Users can visit the SaaS web application three steps downstream from the mainframe. Nonetheless, the command-line-only world of real mainframing is very cool. If you only have a command line, you learn how to make it work better than it does even in Unix.

infinite flat storage
limited hierarchical storage

"Data warehouse" is a figure of speech to most Woonix programmers. Burdensome acres of data storage devices is the norm in the mainframe world. It changes the way you look at things. When data got big in the Woonix world and we flattened out our hierarchical storage via YP and LDAP etc., the Mainframers were already there.

programming-based
user utility application-based

If it has ever been done before in your Mainframe installation, there's a program to do it. If it hasn't been done before, you write a program to do it. You don't compose command lines: you write an exec and use the command line to launch the exec. Of necessity, secretary using email was, before the PC and at the height of corporate mainframing, a programmer him- or herself.

rewards low-level programming
rewards high-level programming

"Keep It Simple, Stupid" is the heartbeat of mainframe programming. Woonix programmers are used to their multi-GHz CPU's idling waiting for the mouse to move. Guess what? On a computer that costs five million dollars ($5*10^6) execution cycles are expected to be expended solely in the performance of useful work.

There are so many layers to Mainframe software, it leaves one breathless thinking of the number of bloggings necessary to express just an overview of the richness.



Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.