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  • "A good programmer can be as 10+ times more productive as a mediocre one"

    - by m3th0dman
    I had read an interview with a great programmer (it is not in English) and in it he said that "a great programmer can be as 100 times as good as a mediocre one" giving reason for why good programmers are very well paid and why programming companies give many facilities for their employees. The idea was that there is a very large demand for good programmers, because of the above reason and that's why companies pay very much to bring them. Do you agree with this statement? Do you know any objective facts that could support it? Edit: The question has nothing to do with experience; if you talk about one great programmer with 1 year experience then s/he should be 10 times more productive than a mediocre programmer with 1 year experience. I agree that from certain experience years onwards, things start to dissipate but that's not the purpose of the question.

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  • Oracle Could Lead In Cloud Business Apps Within Year

    - by Richard Lefebvre
    Below is the reprint from an article, writen by By Pete Barlas, Investor's Business Daily, published on Investorscom: Oracle (ORCL) is all but destined to become the largest seller of cloud business-software applications, analysts say, and perhaps within a year. What that means in the long run is much debated, though, as analysts aren't sure whether pricing competition might cut into profit or what other issues might develop in the fast-emerging cloud software field. But the database leader, which is either No. 1 or 2 to SAP (SAP) in business apps overall, simply has the size and scope to overtake current cloud business-app leader, Salesforce.com (CRM), analysts say. Oracle rolled out its first full suite of cloud applications on June 6. Cloud computing lets companies store data and apps on the Internet "cloud" and access it quickly and easily. The applications run the gamut of customer relationship management software to social networking sites for employees, partners and customers. For longtime software giants like Oracle, the cloud is a big switch. They get the great bulk of revenue from companies and other enterprises buying or licensing software that the customers keep on their own computer systems. Vendors also get annual maintenance fees. Analysts estimate Oracle is taking in a mere $1 billion or so a year from cloud-based software sales and services now. But while that's just a sliver of the company's $37 billion in sales last year, it's already about a third of the total sales for Salesforce, which is expected to end this year with some $3 billion in revenue. Operates In 145 Countries Oracle operates in more than 145 countries vs. about 70 for Salesforce. And Oracle has far more apps than Salesforce. Revenue doesn't equate to profit, but it's inevitable that huge Oracle will become the largest seller of cloud applications, says Trip Chowdhry, an analyst for Global Equities Research. "What Oracle has is global presence," he said. "They have two things driving the revenue: breadth of the offering and breadth of the distribution. You put those applications in those sales reps' hands and you get deployments not in just one country but several countries." At the June 6 event, Oracle CEO Larry Ellison emphasized that his company could and would beat Salesforce.com in head-to-head battles for customers. Oracle makes software to help companies manage such tasks as customer relationships, recruiting, supply chains, projects, finances and more. That range gives it an edge over all rivals, says Michael Fauscette, an analyst for research firm IDC.

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  • Practicing SEO

    As with any other city on the planet these, SEO companies in Toronto are equally conscious of businesses and companies serve two markets, and we are not talking about demographics. We mean the walk in customers and also virtual customers. Online retail income is not a line of revenue any business owner can afford to dismiss ever again. With a lot of the world's human population connected to the internet, people eat, sleep, listen to music, watch TV, buffer sitcoms and movies, chat with their friends, Google and Wikipedia any and almost everything beneath the sun they randomly encounter.

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  • Cloud computing cost savings for large enterprise

    - by user13817
    I'm trying to understand whether cloud computing is meant for small to medium sized companies OR also for large companies. Imagine a website with a very large user base. The storage and bandwidth demands as well as the number of database transactions are incredibly high. The website might be hosting videos, music, images, etc. that keep the demands high. Does it make sense to be in the cloud when you know you need huge volumes of storage, bandwidth, and GET,PUT,etc. requests? (Each of these variables costs money in the cloud) OR does it make sense to build your own infrastructure? I can see the cost savings of cloud computing if you are a small business, but if you were aiming at the next big thing on the Internet, I can't quite see the benefits.

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  • Ubuntu Unity (64-bit) Bugs on Nvidia dual screen [closed]

    - by Kristofer
    On my work computer I have upgraded 10.04 to 10.10 and now to 11.04. Upgrades have mostly worked well and the dual screen setup is almost working. There are however a couple of annoying bugs which I tried to report but the bug reporting tool told me to ask about the bugs here. Here's what I have found: Auto-hide stops working. It doesn't seem to matter which application is maximised/covering the dock, it just stays on top. I have tested changing the autohide settings with no result. Scenario: One maximised window on each screen. If I now try to drag the window that doesn't have focus by dragging the top of the window nothing happens. I can also not give the window focus by clicking the top bar, I have to click inside the window and then I can drag the window. If I unmaximise the window with focus it does work and I can both change focus and drag the window directly by clicking the top of the maximised window. Any bug fixes coming for these issues? Any work-arounds?

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  • "A good programmer can be as 10+ times more productive than a mediocre one"

    - by m3th0dman
    I had read an interview with a great programmer (it is not in English) and in it he said that "a great programmer can be as 100 times as good as a mediocre one" giving reason for why good programmers are very well paid and why programming companies give many facilities for their employees. The idea was that there is a very large demand for good programmers, because of the above reason and that's why companies pay very much to bring them. Do you agree with this statement? Do you know any objective facts that could support it? Edit: The question has nothing to do with experience; if you talk about one great programmer with 1 year experience then s/he should be 10 times more productive than a mediocre programmer with 1 year experience. I agree that from certain experience years onwards, things start to dissipate but that's not the purpose of the question.

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  • New Exadata public references

    - by Javier Puerta
    The following customers are now public references for Exadata. Show your customers how other companies in their industries are leveraging Exadata to achieve their business objectives. MIGROS BANK - Financial Services - Switzerland Oracle EXADATA Database Machine + OBIEE 11gMigros Bank AG Makes Systems More Available and Improves Operational Insight and Analytics with a Scalable, Integrated Data Warehouse Success Story (English)Success Story(German) - Professional Services - United Arab Emirates Oracle EXADATA Database MachineTech Access Drives Compelling Proof-of-Concept Evaluations for Hardware Sales in Regions Largest Solutions CenterSuccess Story   - Saudi Arabia - Wholesale Distribution Oracle EXADATA Database Machine + OBIEE 11g Balubaid Group of Companies Reduces Help-Desk Complaints by 75%, Improves Business Continuity and System Response Success Story   - Nigeria - Communications Oracle EXADATA Database Machine Etisalat Accelerates Data Retrieval and Analysis by 99 Percent with Oracle Communications Data Model Running on Oracle Exadata Database Machine Oracle Press Release   ETISALAT BALUBAID GROUP TECH ACCESS

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  • how to get accepted at a big company like google [on hold]

    - by prof
    I'm 18 Years old; I started teaching myself programming when I was twelve. I've developed many projects in PHP, Javascript, Ruby, Ruby on Rails. I know a very little about C, C++, Objective C and extending PHP with extensions created in C Programming Language. Now I'm working as a freelance Web Developer with a very low salary :(, My Dream is to get a good career with very high salary so I thought of Big Companies like Google Or Microsoft. My Question is How to get Accepted on those big Companies ? What Pre-requests they want And do you need to finish collage education ?

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  • Where would you start if you were trying to solve this PDF classification problem?

    - by burtonic
    We are crawling and downloading lots of companies' PDFs and trying to pick out the ones that are Annual Reports. Such reports can be downloaded from most companies' investor-relations pages. The PDFs are scanned and the database is populated with, among other things, the: Title Contents (full text) Page count Word count Orientation First line Using this data we are checking for the obvious phrases such as: Annual report Financial statement Quarterly report Interim report Then recording the frequency of these phrases and others. So far we have around 350,000 PDFs to scan and a training set of 4,000 documents that have been manually classified as either a report or not. We are experimenting with a number of different approaches including Bayesian classifiers and weighting the different factors available. We are building the classifier in Ruby. My question is: if you were thinking about this problem, where would you start?

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  • Is programming or computer science in general, all about algorithms?

    - by wakandan
    As a grad student, I find it more and more common for prestigious companies (like Google, Facebook, Microsoft,...) to put algorithm questions in their test and interviews. A few startups I applied to also asked about algorithms. I wonder if algorithms fluency is the most important thing for software developer in those companies? If the answer being yes, what are the best method or resources for one to learn & practice about algorithms effectively? I can't seem to get interested in solving seemingly too complicated problems found in most textbook or websites. Though easily understand basic algorithms (like quicksort, bubblesort,...), I find it immensely difficult to remember and reuse them later. Thanks. P/S: If you ask me what I like, it's building good softwares to solve users' problems innovatively. I suppose that does not necessarily mean the software has to be very complicated.

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  • Mid level IT lead [closed]

    - by Arihant
    I am a mid level IT lead at a IT support company with 8 years of experience. I don't get a lot of opportunities to learn at my organization since we primarily support existing systems and just fix issues arising on a day to day basis, We are not expected by the parent company to develop solutions from scratch. I aspire to become an Architect. Please guide me how should I plan to acquire the required skills and Knowledge esp since my company doesn't provide me with the right opportunities. The city where i am in doesn't have a lot of s/w development companies they are mostly services companies. Thanks a lot for your replies. Please give me some directions on how do I plan the self learning process ? Personal commitment won't let me move out of my current capacity to join a entry level job outside as of now . Atleast I should be well prepared to grab the opportunity when the time comes.

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  • How to identify a PDF classification problem?

    - by burtonic
    We are crawling and downloading lots of companies' PDFs and trying to pick out the ones that are Annual Reports. Such reports can be downloaded from most companies' investor-relations pages. The PDFs are scanned and the database is populated with, among other things, the: Title Contents (full text) Page count Word count Orientation First line Using this data we are checking for the obvious phrases such as: Annual report Financial statement Quarterly report Interim report Then recording the frequency of these phrases and others. So far we have around 350,000 PDFs to scan and a training set of 4,000 documents that have been manually classified as either a report or not. We are experimenting with a number of different approaches including Bayesian classifiers and weighting the different factors available. We are building the classifier in Ruby. My question is: if you were thinking about this problem, where would you start?

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