The Holy Java

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Posts Tagged ‘BI’

Most interesting links of August ’12

Posted by Jakub Holý on August 31, 2012

Recommended Readings

  • How To Fail With Agile:Twenty Tips to Help You Avoid Success – a great overview of ways people may make agile projects and initiatives fail – use them to either avoid the failure or to make it certain, according to your attitude towards agile
  • vim-adventures.com: Learning Vim keys in an entertaining way by playing an on-line 2D game. A brilliant idea!
  • The Search for a Better BIG Data Analytics Pipeline – how to use big data and analytics on it in a company. Big data = lot of data, simple processing; deep analysis = representative, small sample of data (no need for all), advanced techniques. Big data can provide input for analysis.

Links to Keep

  • Pat Kua’s Onboarding Strategies series – tips for getting new people onto your team as a tech lead and making them productive quickly. He also wrote the InfoQ article A Leaner Start: Reducing Team Setup Times based on the series. Some posts: Catalogue of patterns applied, Airing .. about feedback meetings, Pair programming, Preparation e-mail, Domain driven design and readable code, Tech huddles (what-we-learned session every 2nd day), Transparent technical debt, Visible architecture, Big vision business problem.

Useful Tools

  • OWASP Hatkit Proxy: TCP/HTTP proxy intended for developers that can intercept and modify requests and store parsed communication into MongoDB for later exploration. You can define what (not) to store/intercept with white- (black-)lists. Syntax highlighting, Swing UI etc.
  • Using Doxygen to understand a code base – Doxygen can generate a full cross reference of source code, class diagram, caller and call graphs for many languages including Java, PHP, C.

Interesting Quotes

Our standards by default exclude comments where possible replaced by representing as much intent as possible in the code itself. We focus on what it does and why. I’ve found “What” tends to be best represented by production code, whilst “Why” is better explained in tests because you can better represent different contexts there.
- Pat Kua: Onboarding strategy: Domain driven design and readable code

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Most interesting links of April (renewed)

Posted by Jakub Holý on April 30, 2011

Only two articles this month:

Computerworld: 22 free tools for data visualization and analysis

- great review if different categories of data analysis and visualization tools. The tools I haven’t known (i.e. excluding R, Google Charts etc.) and found them especially interesting:
Data web apps: Google Refine (data cleansing in a spreadsheet-like UI: clustering, data distribution overview, …), Google Fusion Tables (data => map etc., beta), Impure (rich & interactive data visualization via a drag-and-drop UI reminiscent of Yahoo Pipes; cons: lacking documentation, steep learning curve, check the teaser video).
JS libraries: Exhibit (JavaScript library by MIT for creating interactive visualizations e.g. for articles – incl. maps, timeplots, calendars etc., supporting filtering, sorting, searching), InfoVis Toolit (JS lib for interactive data visualizations; pros: beautiful, cons: choice of visualization types is somewhat limited), Protovis (by Stanford University’s Visualization Group; one of the more popular JS libraries for turning data into visuals, great docs, robust); OpenLayers ( example; customize & display a map, e.g. Open Street Map of Google), Polymaps (interactive maps with overlays)
GIS: OpenHeatMap (webapp, “astonishingly easy to create a color-coded map from many types of location data”)
Other: Timelines with TimeFlow (interesting desktop /java/ app x alpha) or SIMILE Timeline widget (JS); Word clouds: IBM Word-Cloud Generator (free, desktop /java/); Gephi (graph/network visualization & exploration; desktop)

The Evolution of Test Driven Developers

- an entertaining and enlightening article with valuable links to resources that can help you get to the next evolutionary step, one of its benefits is that it helps to understand the true value of the different types of tests (some -> TDD -> Behaviour Driven Development (‘what’ rather than ‘how’) -> Acceptance Test Driven Development) and the shift from a technical to a business perspective along the line

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