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  • OpenGL programming vs Blender Software, which is better for custom video creation?

    - by iammilind
    I am learning OpenGL API bit by bit and also develop my own C++ framework library for effectively using them. Recently came across Blender software which is used for graphics creation and is in turn written in OpenGL itself. For my part time hobby of graphics learning, I want to just create small-small movie or video segments; e.g. related to construction engineering, epic stories and so on. There may be very minimal to nil mouse-keyboard interaction for those videos, unlike video games which are highly interactive. I was wondering if learning OpenGL from scratch is worth for it or should I invest my time in learning Blender software? There are quite a few good movie examples are created using Blender and are shown in its website. Other such opensource cross platform alternatives are also welcome, which can serve my aforementioned purpose.

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  • New MySQL 5.6 Developer Certification and Training

    - by Breanne Cooley
    For those of you who work with MySQL, we've got some great news for you! A wide range of Oracle MySQL teams, including training, engineering, sales consulting and members of MySQL Support, collected content for the new MySQL 5.6 Developer Certification exam. These team members assist developers and DBAs with MySQL questions on a daily basis. They understand what developers need to know to successfully develop applications against MySQL Server 5.6. The MySQL 5.6 Developer Certification Exam details are listed here.  Naturally, this certification process covers the same ground as Oracle's MySQL Training for Developers course, making it ideal for reviewing topics to help you pass the exam. More importantly, you will learn how to develop successful applications that use MySQL Server 5.6 as a data store.  -Diana Gray, Principal Curriculum Project Manager, Oracle University

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  • Career in Game Development

    - by cantbereached
    Hello, I currently study computer engineering and I want to lead my career towards game industry which I always want to be a part of. But I am not sure where to start. I applied some of the companies in the industry for internship and so but most of them wants experience and some work in game developing. Many asks whether I developed a simple game or something similar which I haven't done so far. I am proficient at C, C++, Java, JS, HTML etc. Any tips from people experienced in the industry on where to start ?

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  • Math major as a viable degree

    - by Zak O'Keefe
    While I realize there are many topics about CS vs software engineering vs game school programs, I haven't found anything relating to whether pure math degrees (with CS minor and electives) would also be a viable program. By this I mean: Would having a math major, CS minor put one at competitive disadvantage as compared to a pure CS program? This relates specifically to game engine programming, more on the graphics side. Background (for those who care): Currently a math major, CS minor at school and looking to land a career doing graphics engine programming. Admittedly, I love math and if at all possible would like to stay my current program as long as it doesn't put me at a competitive disadvantage trying to land a job post-graduation. That being said, I'm strong in the traditional C/C++ languages, strong concurrent programming skills, and currently produce self-made games for iOS. As an employer, how badly is the math major hurting me? Just want to get some advice from people already in the field!

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  • Are there any books dedicated to writing test code? [on hold]

    - by joshin4colours
    There are many programming books dedicated to useful programming and engineering topics, like working with legacy code or particular languages. The best of these books become "standard" or "canonical" references for professional programmers. Are there any books like this (or that could be like this) for writing test code? I don't mean books about Test-Driven Development, nor do I mean books about writing good (clean) code in general. I'm looking for books that discuss test code specifically (unit-level, integration-level, UI-level, design patterns, code structures and organization, etc.)

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  • SOA Suite demo pod at OOW 2012

    - by Simone Geib
    Visit us in the exhibition hall at Oracle Open World from Monday October 1st till Wednesday October 3rd. You'll have the opportunity to meet our engineering team and product managers and learn what SOA Suite is about and all the cool stuff you can do with it. Come to get a general demo, ask specific questions, give feedback or just have discussions with the Oracle SOA team. You can find us at Moscone South, Right - S-229. And don't forget to check out the Focus on SOA and BPM document for an overview of all SOA and BPM sessions

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  • How do you manage feature requests and software changes?

    - by 0A0D
    I am a Software Engineer and over the past few years I have become the de-facto software project manager simply because there isn't one. So to keep our sanity in the R&D/Engineering department, customers have become accustomed to coming to me with their requests. I have no experience in this realm so it is my first time acting as a project manager for software projects. I have managed other things but not software. So, how do you manage software projects and mark priorities? Requests come in at infrequent intervals so we very well could be working on something for someone else and then another person comes in with a "rush" job that needs working on. Is it easier to just say First Come, First Serve or is it the person with the most money?

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  • Visual Studio 2010: Fun with extensions

    - by BizTalk Visionary
    One of the powerful things that has come into Visual Studio over the last few years has been joy of extensions. With 2010 there seems to be even more!! Of course teaching old dogs like myself new tricks always takes time but interestingly enough some of the rules I learnt early in my working life over 30 years ago still hold true!! A derivation of one that was knocked into during my engineering apprenticeship and associated exams was RTFQ! Read the ‘flippin’ question. (I replaced the original ‘F’ with a more palatable version here!). Today I forgot that rule and didn’t RTFI (I being instructions) and spent a fruitless hour wondering why my Entity Framework POCO generator never appeared in the new project template list when I wanted to add it!! It was simple of course – I had only installed the Entity Framework POCO generator for web sites and not building a web project meant it would never appear!!! A quick look again I found the ‘other’ extension that supported my project type! So RTFI!!

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  • Why are software schedules so hard to define?

    - by 0A0D
    It seems that, in my experience, getting us engineers to accurately estimate and determine tasks to be completed is like pulling teeth. Rather than just giving a swag estimate of 2-3 weeks or 3-6 months... what is the simplest way to define software schedules so they are not so painful to define? For instance, customer A wants a feature by 02/01/2011. How do you schedule time to implement this feature knowing that other bug fixes may be needed along the way and take up additional engineering time?

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  • Unexpected advantage of Engineered Systems

    - by user12244672
    It's not surprising that Engineered Systems accelerate the debugging and resolution of customer issues. But what has surprised me is just how much faster issue resolution is with Engineered Systems such as SPARC SuperCluster. These are powerful, complex, systems used by customers wanting extreme database performance, app performance, and cost saving server consolidation. A SPARC SuperCluster consists or 2 or 4 powerful T4-4 compute nodes, 3 or 6 extreme performance Exadata Storage Cells, a ZFS Storage Appliance 7320 for general purpose storage, and ultra fast Infiniband switches.  Each with its own firmware. It runs Solaris 11, Solaris 10, 11gR2, LDoms virtualization, and Zones virtualization on the T4-4 compute nodes, a modified version of Solaris 11 in the ZFS Storage Appliance, a modified and highly tuned version of Oracle Linux running Exadata software on the Storage Cells, another Linux derivative in the Infiniband switches, etc. It has an Infiniband data network between the components, a 10Gb data network to the outside world, and a 1Gb management network. And customers can run whatever middleware and apps they want on it, clustered in whatever way they want. In one word, powerful.  In another, complex. The system is highly Engineered.  But it's designed to run general purpose applications. That is, the physical components, configuration, cabling, virtualization technologies, switches, firmware, Operating System versions, network protocols, tunables, etc. are all preset for optimum performance and robustness. That improves the customer experience as what the customer runs leverages our technical know-how and best practices and is what we've tested intensely within Oracle. It should also make debugging easier by fixing a large number of variables which would otherwise be in play if a customer or Systems Integrator had assembled such a complex system themselves from the constituent components.  For example, there's myriad network protocols which could be used with Infiniband.  Myriad ways the components could be interconnected, myriad tunable settings, etc. But what has really surprised me - and I've been working in this area for 15 years now - is just how much easier and faster Engineered Systems have made debugging and issue resolution. All those error opportunities for sub-optimal cabling, unusual network protocols, sub-optimal deployment of virtualization technologies, issues with 3rd party storage, issues with 3rd party multi-pathing products, etc., are simply taken out of the equation. All those error opportunities for making an issue unique to a particular set-up, the "why aren't we seeing this on any other system ?" type questions, the doubts, just go away when we or a customer discover an issue on an Engineered System. It enables a really honed response, getting to the root cause much, much faster than would otherwise be the case. Here's a couple of examples from the last month, one found in-house by my team, one found by a customer: Example 1: We found a node eviction issue running 11gR2 with Solaris 11 SRU 12 under extreme load on what we call our ExaLego test system (mimics an Exadata / SuperCluster 11gR2 Exadata Storage Cell set-up).  We quickly established that an enhancement in SRU12 enabled an 11gR2 process to query Infiniband's Subnet Manager, replacing a fallback mechanism it had used previously.  Under abnormally heavy load, the query could return results which were misinterpreted resulting in node eviction.  In several daily joint debugging sessions between the Solaris, Infiniband, and 11gR2 teams, the issue was fully root caused, evaluated, and a fix agreed upon.  That fix went back into all Solaris releases the following Monday.  From initial issue discovery to the fix being put back into all Solaris releases was just 10 days. Example 2: A customer reported sporadic performance degradation.  The reasons were unclear and the information sparse.  The SPARC SuperCluster Engineered Systems support teams which comprises both SPARC/Solaris and Database/Exadata experts worked to root cause the issue.  A number of contributing factors were discovered, including tunable parameters.  An intense collaborative investigation between the engineering teams identified the root cause to a CPU bound networking thread which was being starved of CPU cycles under extreme load.  Workarounds were identified.  Modifications have been put back into 11gR2 to alleviate the issue and a development project already underway within Solaris has been sped up to provide the final resolution on the Solaris side.  The fixed SPARC SuperCluster configuration greatly aided issue reproduction and dramatically sped up root cause analysis, allowing the correct workarounds and fixes to be identified, prioritized, and implemented.  The customer is now extremely happy with performance and robustness.  Since the configuration is common to other customers, the lessons learned are being proactively rolled out to other customers and incorporated into the installation procedures for future customers.  This effectively acts as a turbo-boost to performance and reliability for all SPARC SuperCluster customers.  If this had occurred in a "home grown" system of this complexity, I expect it would have taken at least 6 months to get to the bottom of the issue.  But because it was an Engineered System, known, understood, and qualified by both the Solaris and Database teams, we were able to collaborate closely to identify cause and effect and expedite a solution for the customer.  That is a key advantage of Engineered Systems which should not be underestimated.  Indeed, the initial issue mitigation on the Database side followed by final fix on the Solaris side, highlights the high degree of collaboration and excellent teamwork between the Oracle engineering teams.  It's a compelling advantage of the integrated Oracle Red Stack in general and Engineered Systems in particular.

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  • Should I be worried if I solve a lot of my problems the same way?

    - by Bryan Harrington
    I really enjoy programming games and puzzle creators/games. I find myself engineering a lot of these problems the same way and ultimately using similar technique to program them that I'm really comfortable with. To give you brief insight, I like to create graphs where nodes are represented with objects. These object hold data such as coordinates, positions and of course references to other neighboring objects. I'll place them all in a data structure and make decisions on this information in a "game loop". While this is a brief example, its not exact in all situations. It's just one way I feel really comfortable with. Is this bad?

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  • Is Haskell worth learning?

    - by Jason K
    I am looking at this question primarily from a career point of view, so I hope you answer it accordingly. I am fairly proficient with Python, can write C++ and I am a final year student of computer science engineering I am looking to learn Haskell because I have heard a lot about it. My question is: apart from learning it because of all the good I have heard about it, is it any good for my career? Is it used in the industry? I am curious to learn it but unless it helps me somehow in my career, I am not willing to make that change at this stage. Looking for some personal experiences here. Thanks!

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  • Organazing ASP.Net Single Page Application with Nancy

    - by OnesimusUnbound
    As a personal project, I'm creating a single page, asp.net web application using Nancy to provide RESTful services to the single page. Due to the complexity of the single page, particularly the JavaScripts used, I've think creating a dedicated project for the client side of web development and another for service side will organize and simplify the development. solution | +-- web / client side (single html page, js, css) | - contains asp.net project, and nancy library | to host the modules in application ptoject folder | +-- application / service (nancy modules, bootstrap for other layer) | . . . and other layers (three teir, domain driven, etc) . Is this a good way of organizing a complex single page application? Am I over-engineering the web app, incurring too much complexity?

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  • Knowing so much but application is a problem?

    - by Moaz ELdeen
    In my work, my friends always tell me, you know so much about computer science, electronics engineering,..etc. But I have difficulty in applying them and my code is crap. How to solve that problem? Will I be better or programming isn't my career? For example, yes I know OCTree that is used for space partitioning in games and it is used for optimization, did I implement it? No, but I know about it in principle.. Do I know algorithms like Sorting, Searching,..etc? Yes, and I know them pretty well, but didn't implement them.. When I get a task, I struggle in applying the things that I know...

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  • Adapters, SOA Suite and More @Openworld 2012

    - by Ramkumar Menon
    You are invited to attend my sessions at Oracle Openworld 2012 at San Francisco! CON8627 - Administration and Management Essentials for Oracle SOA Suite 11g Session Speakers: Ramkumar Menon, Francis Ip Session Schedule: Monday, Oct 1, 1:45 PM - 2:45 PM - Session Location: Marriott Marquis - Salon 7 CON8642 - Cloud and On-Premises Applications Integration using Oracle Integration Adapters Session Speakers: Vikas Anand, Ramkumar Menon, Stephen Mcritchie Session Schedule: Wednesday, Oct 3, 1:15 PM - 2:15 PM Session Location: Moscone South - 310 And do stop by at the Oracle Integration Adapters Demo booth. Watch some live demos on how you can use our suite of Adapters to integrate and extend your Enterprise Applications! This is your opportunity to meet with our Engineering team, share with us your Integration use-cases and challenges, and hear from us on our Roadmap. The Oracle Integration Adapters booth is located at the Fusion Middleware Demopod area  from Monday, October 1 through Wednesday, October 3, 2012.

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  • Basics of ERP for dummies

    - by DarenW
    A situation has arisen where (if I don't scream and run away) I will be involved in an ERP system. This project will be using OpenERP specifically. My background is entirely science/engineering/music/games/art/whatever. I've never set foot in the realm of business systems or anything describable with the word "enterprise". What is a good introduction to the whole ERP concept, OpenERP and business systems in general suitable for those with flat zero experience in that world? The ideal intro would explain, from no assumptions, what the main ideas are, terminology, they style of work and thinking of people in that world, and maybe some concrete suggestions how one can tinker around with a copy of OpenERP to gain basic familiarity.

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  • Webcast Series: Accelerate Business-Critical Database Deployments with Oracle Optimized Solutions

    - by ferhat
    Join us for this two-part Webcast series and learn how to safely consolidate business-critical databases and deliver quantifiable benefits to the business: Save up to 75% in operational and acquisition costs Save millions of dollars consolidating legacy infrastructure Leverage best practices from thousands of customer environments Increase end user productivity with 75% faster time to operations and 4x faster throughput   The Oracle Optimized Solution for Oracle Database  provides extensive guidelines for architecting and deploying complete database solutions that deliver superior performance and availability while minimizing cost and risk. Oracle’s world-class engineering teams work together to define these optimal architectures using Oracle's powerful SPARC M-Series and SPARC T-Series servers together with Oracle Solaris and Oracle's SAN, NAS, and flash-based storage to run the industry-leading Oracle Database. Quite simply, the Oracle Optimized Solution for Oracle Database makes it easier for you to deliver and manage business critical database environments that are fast, secure and cost-effective. Available On-Demand PART 1: Why Architecture Matters When Deploying Business-Critical Databases PART 2: How To Consolidate Databases Using Oracle Optimized Solutions   Presented by: Lawrence McIntosh, Principal Enterprise Architect, Oracle Optimized Solutions Ken Kutzer, Principal Product Manager, Infrastructure Solutions, Oracle  

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  • Is Data Science “Science”?

    - by BuckWoody
    I hold the term “science” in very high esteem. I grew up on the Space Coast in Florida, and eventually worked at the Kennedy Space Center, surrounded by very intelligent people who worked in various scientific fields. Recently a new term has entered the computing dialog – “Data Scientist”. Since it’s not a standard term, it has a lot of definitions, and in fact has been disputed as a correct term. After all, the reasoning goes, if there’s no such thing as “Data Science” then how can there be a Data Scientist? This argument has been made before, albeit with a different term – “Computer Science”. In Peter Denning’s excellent article “Is Computer Science Science” (April  2005/Vol. 48, No. 4 COMMUNICATIONS OF THE ACM) there are many points that separate “science” from “engineering” and even “art”.  I won’t repeat the content of that article here (I recommend you read it on your own) but will leverage the points he makes there. Definition of Science To ask the question “is data science ‘science’” then we need to start with a definition of terms. Various references put the definition into the same basic areas: Study of the physical world Systematic and/or disciplined study of a subject area ...and then they include the things studied, the bodies of knowledge and so on. The word itself comes from Latin, and means merely “to know” or “to study to know”. Greek divides knowledge further into “truth” (episteme), and practical use or effects (tekhne). Normally computing falls into the second realm. Definition of Data Science And now a more controversial definition: Data Science. This term is so new and perhaps so niche that the major dictionaries haven’t yet picked it up (my OED reference is older – can’t afford to pop for the online registration at present). Researching the term's general use I created an amalgam of the definitions this way: “Studying and applying mathematical and other techniques to derive information from complex data sets.” Using this definition, data science certainly seems to be science - it's learning about and studying some object or area using systematic methods. But implicit within the definition is the word “application”, which makes the process more akin to engineering or even technology than science. In fact, I find that using these techniques – and data itself – part of science, not science itself. I leave out the concept of studying data patterns or algorithms as part of this discipline. That is actually a domain I see within research, mathematics or computer science. That of course is a type of science, but does not seek for practical applications. As part of the argument against calling it “Data Science”, some point to the scientific method of creating a hypothesis, testing with controls, testing results against the hypothesis, and documenting for repeatability.  These are not steps that we often take in working with data. We normally start with a question, and fit patterns and algorithms to predict outcomes and find correlations. In this way Data Science is more akin to statistics (and in fact makes heavy use of them) in the process rather than starting with an assumption and following on with it. So, is Data Science “Science”? I’m uncertain – and I’m uncertain it matters. Even if we are facing rampant “title inflation” these days (does anyone introduce themselves as a secretary or supervisor anymore?) I can tolerate the term at least from the intent that we use data to study problems across a wide spectrum, rather than restricting it to a single domain. And I also understand those who have worked hard to achieve the very honorable title of “scientist” who have issues with those who borrow the term without asking. What do you think? Science, or not? Does it matter?

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  • What do I need to do, to get placed in any software company?

    - by Anto Aravinth
    I'm doing my 3rd year CSE Engineering. I guess this is the right time to ask this question! As in the next year, I'm going to do projects, "get my hands dirty". And there is only few days left out, as I know many people in Stack Overflow are working in Software field, I thought to ask these question. Does the project that I'm doing in my final year need to be excellent? If so, what kind of project to do? And how do you say that the project is excellent or not? Writing the code is very fun and serious at times. But the code should have a good algorithm? And mostly in any software companies interview, what kind of question they ask? Not but not the least, mastering in any particular language speaks in interviews?

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  • Why are software schedules so hard to define?

    - by 0A0D
    It seems that, in my experience, getting us engineers to accurately estimate and determine tasks to be completed is like pulling teeth. Rather than just giving a swag estimate of 2-3 weeks or 3-6 months... what is the simplest way to define software schedules so they are not so painful to define? For instance, customer A wants a feature by 02/01/2011. How do you schedule time to implement this feature knowing that other bug fixes may be needed along the way and take up additional engineering time?

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  • SEI Turns Software Architecture into a Game

    - by Bob Rhubart-Oracle
    "Architecture is the decisions that you wish you could get right early in a project." -- Ralph E. Johnson Unless you can see into the future, getting those decisions right comes down to a collection of hard choices. But the Software Engineering Institute (SEI) of Carnegie Mellon University has turned those hard choices into a game. Literally. According to the SEI website: The Hard Choices game is a simulation of the software development cycle meant to communicate the concepts of uncertainty, risk, options, and technical debt. In the quest to become market leader, players race to release a quality product to the marketplace. By the end of the game, everyone has experienced the implications of investing effort to gain an advantage or of paying a price to take shortcuts, as they employ design strategies in the face of uncertainty.   Check it out for yourself: Download the Hard Choices Board Game Download the companion white paper: The Hard Choices Game Explained

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  • What are approaches for analyzing the cost-benefits of a development methodology?

    - by Garrett Hall
    There are many development practices (TDD, continuous integration, cowboy-coding), principles (SOLID, layers of abstraction, KISS), and processes (RUP, Scrum, XP, Waterfall). I have learned you can't follow any of these blindly, but have to consider context and ROI (return on investment). My question is: How do you know whether you are getting a good ROI by following a particular methodology? Metrics, guesstimation, experience? Do analytical methods exist? Or is this just the million-dollar question in software engineering that has no answer?

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  • Finding Telecommuting Opportunities as a Recent College Graduate

    - by stanigator
    Reading the answers to hiring practices of remote vs. local employees and freelance programming sites, I would like to add this question to the mix. I am a recent college graduate from an electrical engineering background with 2 years worth of work terms in programming (C, C++, VBA, Matlab, etc.) while I was still in school. While I am interested in learning other software tools (such as Python, Ruby on Rails, Javascript, etc.), I want to use the tools I have now in a telecommuting role while I grow my toolset. Despite having 2 years of work experience (and I've lost track of when I have started programming), my status as a recent college graduate may be an obstacle of my credibility to compete for telecommuting (or in fact any) programming opportunities. I don't know how I can go about finding telecommute programming opportunities for someone with my situation. Overall, many of previous places I've worked at liked my work. What are your suggestions? Thanks in advance!

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  • Why do employers care so much about GPA?

    - by Recursion
    I went to a pretty good engineering school and did CS. I graduated with a 2.86 gpa and really tried my best. I even took a few graduate classes in place of undergrad courses to challenge myself. I really liked those a lot. But the second question I am always asked is "What was your gpa?", this of course always comes after "How are you today?". Once I tell them either 2.86 or a rounded 2.9 they immediately shut off. I have even had them stop the interview saying the 3.0 is the cut off. Does a tenth of a point really mean that much?

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  • Oracle Solaris 11 Developer Webinar Series

    - by nospam(at)example.com (Joerg Moellenkamp)
    Starting March 27th a number of events called "Oracle Solaris 11 Developer Webinar Series" (that said, i think they are not only interesting for developers, but for admins as well that support admins in their job) will take place by WebEx/Phone: March 27th: Modern Software Packaging for Enterprise Developers April 10th: Simplify Your Development Environment with Zones, ZFS & More April 24th: Managing Application Services ? Using SMF Manifests in Solaris 11 May 8th: Optimize Your Applications on Oracle Solaris 11: The DTrace Advantage May 22nd: Maximize Application Performance and Reliability on Oracle Solaris 11 June 5th: Writing Oracle Solaris 11 Device Drivers All events start at 9am Pacific Daylight Time (Should be 18:00 in Germany, 17:00 in UK, 01:00 in Tokyo). Of course the events are for free (before someone asks) and available for anyone who signs up. The chat is staffed with Solaris 11 Engineering Experts sitting in to answer questions. And most important: Mostly technical content and the events will be recorded.

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