May 2, 2018
- LEAD ARTICLE: Practical RDi: Exploring RDi 9.6, Part 3
- FEATURED ARTICLE: RPG Academy: Debug Done Right - A Step-by-Step Debug Session, Part 2
- FEATURED ARTICLE: A Small Intro to Big Data, Part 2: Introducing the Hadoop Framework
- NEWS HIGHLIGHT: IBM Board Approves Increase in Quarterly Cash Dividend for the 23rd Consecutive Year
- WHITE PAPER: 2017 State of IBM i Modernization White Paper
- FEATURED VIDEO: Design an Invoice in 10 Minutes
- EVENT: Top New Advances in Lone Worker Safety
- MC PRESS MAGAZINE: A Small Intro to Big Data, Part 3: HFDS and the MapReduce Algorithm
Our continuing series on RDi 9.6 focuses on some of the new and exciting changes to the editor itself.
By Joe Pluta
OK, "exciting" may be stretching it just a little, but "helpful" and "appreciated" definitely come to mind when looking at some of the new features in the editor. Many of the things I've written about in my previous articles in the series are rather flashy; these other new features provide more meat-and-potatoes functionality that may actually be more productive than some of the glitzier enhancements we've already seen. Let's take a look at some of them.
Let's continue our debug session where we left off and learn a few more debug tips and tricks!
Written by Rafael Victoria-Pereira
In order to get the most out of this TechTip, you'll need to read or re-read Part 1 of this TechTip and follow the instructions it contains, because this one will continue exactly where the last one ended.
Explore the main considerations you should be aware of before embarking on a (migration or modernization) project. Take a deeper dive into business motivations and factors that could potentially influence your decision to migrate or modernize your existing IT platform and its risks.
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Your IBM i has been an essential part of your business operations for years. However, your organization may struggle to maintain the current system and implement new projects.
The thousands of customers we've worked with and surveyed state that expectations regarding the digital footprint and vision of the companyare not aligned with the current IT environment.
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It's time to continue our Big Data discussion. This article introduces the Hadoop framework, one of the most important and most commonly used tools in the Big Data world.
By Rafael Victoria-Pereira
In the previous article, I explained that the most widely accepted definition (if we can call it that) of Big Data is more data than you can manage (store, analyze, and so on) with some (usually high) intrinsic potential value. I also mentioned that these datasets are usually composed of one or more types of data-structured (think RDMS), unstructured (typically text data stored in log files), and a mix of the previous two (like JSON, for instance).