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  • Which algorithms/data structures should I "recognize" and know by name?

    - by Earlz
    I'd like to consider myself a fairly experienced programmer. I've been programming for over 5 years now. My weak point though is terminology. I'm self-taught, so while I know how to program, I don't know some of the more formal aspects of computer science. So, what are practical algorithms/data structures that I could recognize and know by name? Note, I'm not asking for a book recommendation about implementing algorithms. I don't care about implementing them, I just want to be able to recognize when an algorithm/data structure would be a good solution to a problem. I'm asking more for a list of algorithms/data structures that I should "recognize". For instance, I know the solution to a problem like this: You manage a set of lockers labeled 0-999. People come to you to rent the locker and then come back to return the locker key. How would you build a piece of software to manage knowing which lockers are free and which are in used? The solution, would be a queue or stack. What I'm looking for are things like "in what situation should a B-Tree be used -- What search algorithm should be used here" etc. And maybe a quick introduction of how the more complex(but commonly used) data structures/algorithms work. I tried looking at Wikipedia's list of data structures and algorithms but I think that's a bit overkill. So I'm looking more for what are the essential things I should recognize?

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  • Understanding Data Science: Recent Studies

    - by Joe Lamantia
    If you need such a deeper understanding of data science than Drew Conway's popular venn diagram model, or Josh Wills' tongue in cheek characterization, "Data Scientist (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician." two relatively recent studies are worth reading.   'Analyzing the Analyzers,' an O'Reilly e-book by Harlan Harris, Sean Patrick Murphy, and Marck Vaisman, suggests four distinct types of data scientists -- effectively personas, in a design sense -- based on analysis of self-identified skills among practitioners.  The scenario format dramatizes the different personas, making what could be a dry statistical readout of survey data more engaging.  The survey-only nature of the data,  the restriction of scope to just skills, and the suggested models of skill-profiles makes this feel like the sort of exercise that data scientists undertake as an every day task; collecting data, analyzing it using a mix of statistical techniques, and sharing the model that emerges from the data mining exercise.  That's not an indictment, simply an observation about the consistent feel of the effort as a product of data scientists, about data science.  And the paper 'Enterprise Data Analysis and Visualization: An Interview Study' by researchers Sean Kandel, Andreas Paepcke, Joseph Hellerstein, and Jeffery Heer considers data science within the larger context of industrial data analysis, examining analytical workflows, skills, and the challenges common to enterprise analysis efforts, and identifying three archetypes of data scientist.  As an interview-based study, the data the researchers collected is richer, and there's correspondingly greater depth in the synthesis.  The scope of the study included a broader set of roles than data scientist (enterprise analysts) and involved questions of workflow and organizational context for analytical efforts in general.  I'd suggest this is useful as a primer on analytical work and workers in enterprise settings for those who need a baseline understanding; it also offers some genuinely interesting nuggets for those already familiar with discovery work. We've undertaken a considerable amount of research into discovery, analytical work/ers, and data science over the past three years -- part of our programmatic approach to laying a foundation for product strategy and highlighting innovation opportunities -- and both studies complement and confirm much of the direct research into data science that we conducted. There were a few important differences in our findings, which I'll share and discuss in upcoming posts.

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  • IOMEGA 500GB hard disk data reccovery

    - by Vineeth
    Last year by November I bought an IOMEGA 500GB Prestige hard disk. Yesterday, unfortunately the hard disk fell down from my table. After that incident, when I connect my disk, Windows asks me to format the disk to use, but I didn't format it yet. Actually, on that hard disk I have about 320GB of data. I tried all my possible ways to access my disk. I tried using DOS. It shows "data error (Cyclic redundancy check)". I have a 3 year warranty. Will I be covered under warranty if I report this issue to IOMEGA? Can I get my data back?

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  • Using MS Anti XSS library for sanitizing HTML

    - by user102533
    In the intent of preventing XSS attacks, I am updating a page in which we have a textbox that accepts HTML, stores it in a database and retrieves and renders it at a later time. My understanding is that I can sanitize the HTML using AntiXSS.GetSafeHtmlFragment() method. As long as I do this before storing the HTML in the database, am I covered? Do I need to do anything when the HTML is outputted on a web page? Also, it appears that the white list is kind of a black box. Is there a way to update this based on our requirements?

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  • how to find a good data center?

    - by drewda
    At my start-up, we're getting to the point where we should be hosting our servers at a data center. I'd appreciate any tips and tricks y'all can offer on finding a reputable place to colocate our racks. Are there any Web sites with customer reviews of data centers or should I just be asking around at techie events? Are unlimited bandwidth plans a gimmick or becoming the norm? Is it worth establishing a redundant set of machines at a second data center from Day One? Or just do offsite back-ups? Thanks for your suggestions.

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  • Appending column to a data frame - R

    - by darkie15
    Is it possible to append a column to data frame in the following scenario? dfWithData <- data.frame(start=c(1,2,3), end=c(11,22,33)) dfBlank <- data.frame() ..how to append column start from dfWithData to dfBlank? It looks like the data should be added when data frame is being initialized. I can do this: dfBlank <- data.frame(dfWithData[1]) but I am more interested if it is possible to append columns to an empty (but inti)

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  • Protecting Consolidated Data on Engineered Systems

    - by Steve Enevold
    In this time of reduced budgets and cost cutting measures in Federal, State and Local governments, the requirement to provide services continues to grow. Many agencies are looking at consolidating their infrastructure to reduce cost and meet budget goals. Oracle's engineered systems are ideal platforms for accomplishing these goals. These systems provide unparalleled performance that is ideal for running applications and databases that traditionally run on separate dedicated environments. However, putting multiple critical applications and databases in a single architecture makes security more critical. You are putting a concentrated set of sensitive data on a single system, making it a more tempting target.  The environments were previously separated by iron so now you need to provide assurance that one group, department, or application's information is not visible to other personnel or applications resident in the Exadata system. Administration of the environments requires formal separation of duties so an administrator of one application environment cannot view or negatively impact others. Also, these systems need to be in protected environments just like other critical production servers. They should be in a data center protected by physical controls, network firewalls, intrusion detection and prevention, etc Exadata also provides unique security benefits, including a reducing attack surface by minimizing packages and services to only those required. In addition to reducing the possible system areas someone may attempt to infiltrate, Exadata has the following features: 1.    Infiniband, which functions as a secure private backplane 2.    IPTables  to perform stateful packet inspection for all nodes               Cellwall implements firewall services on each cell using IPTables 3.    Hardware accelerated encryption for data at rest on storage cells Oracle is uniquely positioned to provide the security necessary for implementing Exadata because security has been a core focus since the company's beginning. In addition to the security capabilities inherent in Exadata, Oracle security products are all certified to run in an Exadata environment. Database Vault Oracle Database Vault helps organizations increase the security of existing applications and address regulatory mandates that call for separation-of-duties, least privilege and other preventive controls to ensure data integrity and data privacy. Oracle Database Vault proactively protects application data stored in the Oracle database from being accessed by privileged database users. A unique feature of Database Vault is the ability to segregate administrative tasks including when a command can be executed, or that the DBA can manage the health of the database and objects, but may not see the data Advanced Security  helps organizations comply with privacy and regulatory mandates by transparently encrypting all application data or specific sensitive columns, such as credit cards, social security numbers, or personally identifiable information (PII). By encrypting data at rest and whenever it leaves the database over the network or via backups, Oracle Advanced Security provides the most cost-effective solution for comprehensive data protection. Label Security  is a powerful and easy-to-use tool for classifying data and mediating access to data based on its classification. Designed to meet public-sector requirements for multi-level security and mandatory access control, Oracle Label Security provides a flexible framework that both government and commercial entities worldwide can use to manage access to data on a "need to know" basis in order to protect data privacy and achieve regulatory compliance  Data Masking reduces the threat of someone in the development org taking data that has been copied from production to the development environment for testing, upgrades, etc by irreversibly replacing the original sensitive data with fictitious data so that production data can be shared safely with IT developers or offshore business partners  Audit Vault and Database Firewall Oracle Audit Vault and Database Firewall serves as a critical detective and preventive control across multiple operating systems and database platforms to protect against the abuse of legitimate access to databases responsible for almost all data breaches and cyber attacks.  Consolidation, cost-savings, and performance can now be achieved without sacrificing security. The combination of built in protection and Oracle’s industry-leading data protection solutions make Exadata an ideal platform for Federal, State, and local governments and agencies.

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  • using core data with web services

    - by Jayshree
    Hi. i am a noob in xcode. I am developing an iphone app where i need to send and receive data from a web service. And i need to store them temporarily in my app. i dont want to use sqlite. so i was wondering if i should use core data for this purpose. I read some articles but i still dont have a clear picture of how to do it, coz i have used core data only with sqlite. I want to do the following things : Will receive table data from a web service. Have to perform certain calculations on those fields. Will send the data back in xml format to the server. How do i convert the xml data into int, date or any other data type? and how do i store it in managed data objects? Can anyone please help me with this??? thnx for your time.

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  • Why CFOs Should Care About Big Data

    - by jmorourke
    The topic of “big data” clearly has reached a tipping point in 2012.  With plenty of coverage over the past few years in the IT press, we are now starting to see the topic of “big data” covered in mainstream business press, including a cover story in the October 2012 issue of the Harvard Business Review.  To help customers understand the challenges of managing “big data” as well as the opportunities that can be created by leveraging “big data”, Oracle has recently run and published the results of a customer survey, as well as white papers and articles on this topic.  Most recently, we commissioned a white paper titled “Mastering Big Data: CFO Strategies to Transform Insight into Opportunity”. The premise here is that “big data” is not just a topic that CIOs should pay attention to, but one that CFOs should understand and take advantage of as well.  Clearly, whoever masters the art and science of big data will be positioned for competitive advantage in their industries or markets.  That’s why smart CFOs are taking control of big data and business analytics projects, not just to uncover new ways to drive growth in a slowing global economy, but also to be a catalyst for change in the enterprise.  With an increasing number of CFOs now responsible for overseeing IT investments and providing strategic insight to the board, CFOs will be increasingly called upon to take a leadership role in assessing the value of “big data” initiatives, building on their traditional skills in reporting and helping managers analyze data to support decision making. Here’s a link to the white paper referenced above, which is posted on the Oracle C-Central/CFO web site, as well as some other resources that can help CFOs master the topic of “big data”: White Paper “Mastering Big Data:  CFO Strategies to Transform Insight into Opportunity CFO Market Watch article:  “Does Big Data Affect the CFO?” Oracle Survey Report:  “From Overload to Impact – An Industry Scorecard on Big Data Industry Challenges” Upcoming Big Data Webcast with Andrew McAfee Here’s a general link to Oracle C-Central/CFO in case you want to start there: www.oracle.com/c-central/cfo Feel free to contact me if you have any questions or need additional information:  [email protected]

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  • Presenting Loading Data Warehouse Partitions with SSIS 2012 at SQL Saturday DC!

    - by andyleonard
    Join Darryll Petrancuri and me as we present Loading Data Warehouse Partitions with SSIS 2012 Saturday 8 Dec 2012 at SQL Saturday 173 in DC ! SQL Server 2012 table partitions offer powerful Big Data solutions to the Data Warehouse ETL Developer. In this presentation, Darryll Petrancuri and Andy Leonard demonstrate one approach to loading partitioned tables and managing the partitions using SSIS 2012, and reporting partition metrics using SSRS 2012. Objectives A practical solution for loading Big...(read more)

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  • data recovery from unallocated harddisk partition

    - by user36007
    Hi, I accidentally deleted a partition which mainly served as space I put my data, labeled D: drive. The partition wasn't subsequently formatted though, following the delete incident. Obviously the D: drive doesn't show up as it usually does when I run Windows 7. In the "Computer Management", on clicking the Disk Management I clearly see the space is now labled as unallocated. question: How do I go about recovering my data. Perhaps what the effective data recovery software I can use to resolve this issue. Thanks

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  • data recovery from unallocated harddisk partition

    - by user42151
    Hi I accidentally deleted a partition which mainly served as space I put my data, labeled D: drive. The partition wasn't subsequently formatted though, following the delete incident. Obviously the D: drive doesn't show up as it usually does when I run Windows 7. In the "Computer Management", on clicking the Disk Management I clearly see the space is now labled as unallocated. question: How do I go about recovering my data. Perhaps what the effective data recovery software I can use to resolve this issue. Thanks

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  • data recovery from unallocated harddisk partition

    - by user36007
    Hi, I accidentally deleted a partition which mainly served as space I put my data, labeled D: drive. The partition wasn't subsequently formatted though, following the delete incident. Obviously the D: drive doesn't show up as it usually does when I run Windows 7. In the "Computer Management", on clicking the Disk Management I clearly see the space is now labled as unallocated. question: How do I go about recovering my data. Perhaps what the effective data recovery software I can use to resolve this issue. Thanks

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  • Having a generic data type for a database table column, is it "good" practice?

    - by Yanick Rochon
    I'm working on a PHP project where some object (class member) may contain different data type. For example : class Property { private $_id; // (PK) private $_ref_id; // the object reference id (FK) private $_name; // the name of the property private $_type; // 'string', 'int', 'float(n,m)', 'datetime', etc. private $_data; // ... // ..snip.. public getters/setters } Now, I need to perform some persistence on these objects. Some properties may be a text data type, but nothing bigger than what a varchar may hold. Also, later on, I need to be able to perform searches and sorting. Is it a good practice to use a single database table for this (ie. is there a non negligible performance impact)? If it's "acceptable", then what could be the data type for the data column?

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  • Presenting Loading Data Warehouse Partitions with SSIS 2012 at SQL Saturday DC!

    - by andyleonard
    Join Darryll Petrancuri and me as we present Loading Data Warehouse Partitions with SSIS 2012 Saturday 8 Dec 2012 at SQL Saturday 173 in DC ! SQL Server 2012 table partitions offer powerful Big Data solutions to the Data Warehouse ETL Developer. In this presentation, Darryll Petrancuri and Andy Leonard demonstrate one approach to loading partitioned tables and managing the partitions using SSIS 2012, and reporting partition metrics using SSRS 2012. Objectives A practical solution for loading Big...(read more)

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  • SQL Saturday and Exploring Data Privacy

    - by Johnm
    I have been highly impressed with the growth of the SQL Saturday phenomenon. It seems that an announcement for a new wonderful event finds its way to my inbox on a daily basis. I have had the opportunity to attend the first of the SQL Saturday's for Tampa, Chicago, Louisville and recently my home town of Indianapolis. It is my hope that there will be many more in my future. This past weekend I had the honor of being selected to speak amid a great line up of speakers at SQL Saturday #82 in Indianapolis. My session topic/title was "Exploring Data Privacy". Below is a brief synopsis of my session: Data Privacy in a Nutshell        - Definition of data privacy        - Examples of personally identifiable data        - Examples of Sensitive data Laws and Stuff        - Various examples of laws, regulations and policies that influence the definition of data privacy        - General rules of thumb that encompasses most laws Your Data Footprint        - Who has personal information about you?        - What are you exchanging data privacy for?        - The amazing resilience of data        - The cost of data loss Weapons of Mass Protection       - Data classification       - Extended properties       - Database Object Schemas       - An extraordinarily brief introduction of encryption       - The amazing data professional  <-the most important point of the entire session! The subject of data privacy is one that is quickly making its way to the forefront of the mind of many data professionals. Somewhere out there someone is storing personally identifiable and other sensitive data about you. In some cases it is kept reasonably secure. In other cases it is kept in total exposure without the consideration of its potential of damage to you. Who has access to it and how is it being used? Are we being unnecessarily required to supply sensitive data in exchange for products and services? These are just a few questions on everyone's mind. As data loss events of grand scale hit the headlines in a more frequent succession, the level of frustration and urgency for a solution increases. I assembled this session with the intent to raise awareness of sensitive data and remind us all that we, data professionals, are the ones who have the greatest impact and influence on how sensitive data is regarded and protected. Mahatma Gandhi once said "Be the change you want to see in the world." This is guidance that I keep near to my heart as I approached this topic of data privacy.

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  • When and why are certain data structures used in the context of web development?

    - by Ein Doofus
    While browsing around the MSDN I came across: http://msdn.microsoft.com/en-us/library/aa287104%28v=vs.71%29 which lists various data structures such as: Queues Stacks Hashtables Binary Trees Binary Search Trees Graphs (I believe there are also Lists) and I was hoping to get a high-level overview of when these various data structures can be used in the broad context of web development, and when used, why one data structure is generally used instead of any other one.

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  • Sanitizing MySQL user parameters.

    - by Tom
    What are the dangerous characters that should be replaced in user input when the users' input will be inserted in a MySQL query? I know about quotes, double quotes, \r and \n. Are there others?(I don't have the option of using a smart connector that accepts parameters so I have to build the query myself and this will be implemented in multiple programming languages, including some obscure ones so solutions such as mysql_real_escape_string in PHP are not valid)

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  • Data model for timesheet to task and/or timesheet to project?

    - by John
    Let's say I want to make a simple project tracking system. A manager can create a project. Then he can create tasks for that project. Team members can record the hours they work for each task or for the project as a whole. Is the following design for the t_timesheet table a good idea? timesheet_id - primary key, autoincrement project_id - not null, foreign key constraint to t_project task_id - nullable, foreign key constraint to t_task user_id - not null, foreign key constraint to t_user hours - decimal Or should I do something like this: timesheet_id - primary key, autoincrement task_id - not null, foreign key constraint to t_task user_id - not null, foreign key constraint to t_user hours - decimal In the second option, I intend to always have a record in t_task labelled "miscellaneous items" with a foreign key to the relevant t_project record. Then I'll be able to track all hours for a project that aren't for any particular task. Are any of the ideas above good? What would be better?

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  • XP can't read data from transferred HD

    - by Alexander Miller
    Computer A, running XP, died. XP was installed on a fresh HD in computer B. Slaved data-backup HD from A was installed as slave on B. B will not read it; shows only 2 folders, Recycler and System Volume Info. All of these are older machines with IDE drives. What's going on & how can I read/transfer the data from the transferred drive? This was only a trial run. Actually I will need to transfer the master HD from A - which has XP on it - and read from its data partition because (blush) the backup drive was not up to date.

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  • Sanitizing CSS in Rails

    - by Erik
    Hello! I want to allow the users of a web app that I'm building to write their own CSS in order to customize their profile page. However I am aware of this opening up for many security risks, i e background: url('javascript:alert("Got your cookies! " + document.cookies'). Hence I am looking for a solution to sanitize the CSS while still allowing as much CSS functionality as possible for my users. So my questions if anyone anyone knows of a gem or a plugin to handles this? I've googled my brains out already so any tips would be really appreciated!

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  • Is wikipedia a valuable resource for studying data structures? (can we call it complete?)

    - by Amir Nasr
    Can I depend on wikipedia to learn data structures fully using the list of data structures http://en.wikipedia.org/wiki/List_of_data_structures and the links they refer to? The same question for algorithms http://en.wikipedia.org/wiki/List_of_algorithm_general_topics ?... What's after learning algorithms and data structures? Specializing in a certain field of algorithms such as computer graohics, memory management...etc? or what could be the plan for mastering programming after knowing the language syntax and the background about program design and programming logic? I asked about wikipedia because i would like to find a complete resource or are least a resource which would be enough for the field of data structures instead of searching for separate articles in different places in other words an alternative to books which may even be more complete.

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  • adding a div with data()

    - by Dizzy Bryan High
    Hi people am generating a list of flash swfs, the information comes from an ajax call which returns a json object which i loop through to create the rows of data using my makeAppRow function. makeAppRow = function(myData){ var myStr = '<div class="fileEntry">' myStr = myStr +'<div class="appDate">'+dateFormat(myData.date_swf, "dS mmmm, yyyy, h:MM TT")+'</div>' myStr = myStr +'<div class="appName">'+myData.name_swf+'</div>' myStr = myStr +'<div class="appOptions" data>' myStr = myStr +'<div class="gotoAppBtn" data-options="'+myData+'">Open App</div>' myStr = myStr +'</div>' myStr = myStr +'</div>' $('#appData').append(myStr); } I need the json data to be attached to the gotoAppBtn so that when its clicked i can read in the data from the attached json object and use it in my click function, as you can see ive been trying to embed the data using the html5 data but i cant get it to work. <div class="gotoAppBtn" data-options="'+myData+'">Open App</div> i have a function so that when the button is clicked it loads in an swf. $('.gotoAppBtn').live('click', function(){ //alert('button clicked') var myData = $(this).data("options") alert('../userfiles/'+myData.id_ugp+'/'+myData.id_swf+'/'+myData.launchfile_swf+'') console.log(myData); var flashvars = {}; var params = {}; params.menu = "false"; params.quality = "best"; params.scale = "noscale"; var attributes = {}; attributes.id = "flashAppDisplay"; attributes.name = "flashAppDisplay"; swfobject.embedSWF( '../userfiles/'+myData.id_ugp+'/'+myData.id_swf+'/'+myData.launchfile_swf+'', 'flashAppDisplay', myData.width_swf, myData.height_swf, myData.version_swf ,"../FAVideo/expressInstall.swf", flashvars, params, attributes) }); but the data does not seem to be there, any pointers on where i am going wrong, or a better way to achive this???

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  • How can be data oriented programming applied for GUI system?

    - by Miro
    I've just learned basics of Data oriented programming design, but I'm not very familiar with that yet. I've also read Pitfalls of Object Oriented Programming GCAP 09. It seems that data oriented programming is much better idea for games, than OOP. I'm just creating my own GUI system and it's completely OOP. I'm thinking if is data oriented programming design applicable for structured things like GUI. The main problem I see is that every type widget has different data, so I can hardly group them into arrays. Also every type of widget renders differently so I still need to call virtual functions.

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  • Reiserfs partition data recovery

    - by user991554
    i am having windows xp as my os. but i have raiserfs partions created by suse linux on same HDD. i need to recover data from the linux partitions now. i created opensuse live usb and booted from it. but it is showing free space in disk manager instead of linux partitions. but i accessed from one windows application(e.g Ext2Read ) which is showing linux partitions but not able to recover data from them as they are demo applications. why opensuse live usb os showing free space instead of linux partitions. Any other metyhod to recover data from them?

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