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  • What kind of string is this? What can I do in php to read it?

    - by kevin
    This is a string (see below, after the dashed line) in a database.inf file for a free program I downloaded that lists some websites. The file is plain text as you can see , but there is a string after it that looks base64 encoded (due to the end chars of ==). But b64_decoding it gives giberish. I wanted to decode it so I could add to the list of sites it had (the program lists a bunch of sites and data about them which I can read in the GUI) and to do that I need to decode this, add to it, and re-encode it. I think the program uses .net since I think the .net library was required on install, but I know nothing of the original source language. I am using php to figure out if there is a simple way to read this. I have tried using unpack, binhex, base_convert, etc as I suspect the file is binary at some level, but I am lost. Nothing illegal, just wanting to know what it is and if I can add a few things to it to make it more useful for me. here is the file - any ideas how to decode and recode this for playing with? Site List file size: 62139 db version: 13 generated: 2010-04-27 11:53:40 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  • How can I know when QProcess wants to read input?

    - by mpcabd
    I'm implementing a compiler in my Compilers class, I'm using Qt & C++. After I have generated the machine code from the source code, I'm executing the virtual machine that will execute the call. I'm facing a problem here, I'm using readyRead() signal to get output from the virtual machine, but how can I know that the virtual machine wants to read data from the user? I wanna show the user an input dialog each time the machine asks for input.

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  • How to read a file from bottom to top in Ruby?

    - by two2twelve
    I've been working on a log viewer for a Rails app and have found that I need to read around 200 lines of a log file from bottom to top instead of the default top to bottom. Log files can get quite large, so I've already tried and ruled out the IO.readlines("log_file.log")[-200..-1] method. Are there any other ways to go about reading a file backwards in Ruby without the need for a plugin or gem?

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  • Is it safe to read global data from multiple threads?

    - by user362515
    The scenario is as follows: Create an instance of a class (std::map) and sore it as global variable. Spawn threads. Threads read and use the same global instance of the class All spawned threads quit Global class instance is destroyed No mutex, no thread modifies the global class instance. Is this OK? Thank You

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  • Is it save to read global data from multiple threads?

    - by user362515
    The scenario is as follows: Create an instance of a class (std::map) and sore it as global variable. Spawn threads. Threads read and use the same global instance of the class All spawned threads quit Global class instance is destroyed No mutex, no thread modifies the global class instance. Is it ok? Thank You

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  • How can I read this parameters inside my software? (c#)

    - by Dezigo
    Hello! I have created a shortcut of my .exe file. I want add to '.exe' extra parameters.(on shortcut: Target attribute) Example Target: "C:\Documents and Settings\dezigo\My Documents\c# programm\DirectoryScanner\DirectoryScanner\DirectoryScanner\bin\Debug\DirectoryScanner.exe" + extra parrams(like a method=1) How can I read this parameters inside my software? (c#) Then ,when starting .exe check if(method == 1) { //do something } else { //do something }

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  • Is there a way to read a c-string and then an int with a single scanf in C?

    - by Aux
    Hey, I'm trying to get this function to get the following output with the listed input, the "..." is where I'm not sure what to write: void Question8(void) { char sentence[100]; int grade; scanf(….); printf("%s %d", sentence, grade); } Input: My CS Grade is 1000 Output: My CS Grade is 100 However, the kicker is that I need the scanf to read a c-string and then an int with a single scanf command, is this even possible?

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  • how to read the contents of a file In Erlang ?

    - by Zubair
    I know you can do something like this: readlines(FileName) -> {ok, Device} = file:open(FileName, [read]), get_all_lines(Device, []). get_all_lines(Device, Accum) -> case io:get_line(Device, "") of eof -> file:close(Device), Accum; Line -> get_all_lines(Device, Accum ++ [Line]) end. : Is there a one liner BIF that can do this too?

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  • How to read file.xml from resources to NSString with format?

    - by falkon
    Actually I have such a code: NSString *path = [[NSBundle mainBundle] pathForResource: @"connect" ofType: @"xml"]; NSError *error = nil; NSString *data = [NSString stringWithContentsOfFile: path encoding: NSUTF8StringEncoding error: &error]; NSString *message = [NSString stringWithFormat:data, KEY, COUNTRY_ID]; which reads the connect.xml from resources. But on the formating the string (message) APP quits without displaying any errors. How can I read file.xml from resources to NSString with format?

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  • Using a "white list" for extracting terms for Text Mining, Part 2

    - by [email protected]
    In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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  • Using RIA DomainServices with ASP.NET and MVC 2

    - by Bobby Diaz
    Recently, I started working on a new ASP.NET MVC 2 project and I wanted to reuse the data access (LINQ to SQL) and business logic methods (WCF RIA Services) that had been developed for a previous project that used Silverlight for the front-end.  I figured that I would be able to instantiate the various DomainService classes from within my controller’s action methods, because after all, the code for those services didn’t look very complicated.  WRONG!  I didn’t realize at first that some of the functionality is handled automatically by the framework when the domain services are hosted as WCF services.  After some initial searching, I came across an invaluable post by Joe McBride, which described how to get RIA Service .svc files to work in an MVC 2 Web Application, and another by Brad Abrams.  Unfortunately, Brad’s solution was for an earlier preview release of RIA Services and no longer works with the version that I am running (PDC Preview). I have not tried the RC version of WCF RIA Services, so I am not sure if any of the issues I am having have been resolved, but I wanted to come up with a way to reuse the shared libraries so I wouldn’t have to write a non-RIA version that basically did the same thing.  The classes I came up with work with the scenarios I have encountered so far, but I wanted to go ahead and post the code in case someone else is having the same trouble I had.  Hopefully this will save you a few headaches! 1. Querying When I first tried to use a DomainService class to perform a query inside one of my controller’s action methods, I got an error stating that “This DomainService has not been initialized.”  To solve this issue, I created an extension method for all DomainServices that creates the required DomainServiceContext and passes it to the service’s Initialize() method.  Here is the code for the extension method; notice that I am creating a sort of mock HttpContext for those cases when the service is running outside of IIS, such as during unit testing!     public static class ServiceExtensions     {         /// <summary>         /// Initializes the domain service by creating a new <see cref="DomainServiceContext"/>         /// and calling the base DomainService.Initialize(DomainServiceContext) method.         /// </summary>         /// <typeparam name="TService">The type of the service.</typeparam>         /// <param name="service">The service.</param>         /// <returns></returns>         public static TService Initialize<TService>(this TService service)             where TService : DomainService         {             var context = CreateDomainServiceContext();             service.Initialize(context);             return service;         }           private static DomainServiceContext CreateDomainServiceContext()         {             var provider = new ServiceProvider(new HttpContextWrapper(GetHttpContext()));             return new DomainServiceContext(provider, DomainOperationType.Query);         }           private static HttpContext GetHttpContext()         {             var context = HttpContext.Current;   #if DEBUG             // create a mock HttpContext to use during unit testing...             if ( context == null )             {                 var writer = new StringWriter();                 var request = new SimpleWorkerRequest("/", "/",                     String.Empty, String.Empty, writer);                   context = new HttpContext(request)                 {                     User = new GenericPrincipal(new GenericIdentity("debug"), null)                 };             } #endif               return context;         }     }   With that in place, I can use it almost as normally as my first attempt, except with a call to Initialize():     public ActionResult Index()     {         var service = new NorthwindService().Initialize();         var customers = service.GetCustomers();           return View(customers);     } 2. Insert / Update / Delete Once I got the records showing up, I was trying to insert new records or update existing data when I ran into the next issue.  I say issue because I wasn’t getting any kind of error, which made it a little difficult to track down.  But once I realized that that the DataContext.SubmitChanges() method gets called automatically at the end of each domain service submit operation, I could start working on a way to mimic the behavior of a hosted domain service.  What I came up with, was a base class called LinqToSqlRepository<T> that basically sits between your implementation and the default LinqToSqlDomainService<T> class.     [EnableClientAccess()]     public class NorthwindService : LinqToSqlRepository<NorthwindDataContext>     {         public IQueryable<Customer> GetCustomers()         {             return this.DataContext.Customers;         }           public void InsertCustomer(Customer customer)         {             this.DataContext.Customers.InsertOnSubmit(customer);         }           public void UpdateCustomer(Customer currentCustomer)         {             this.DataContext.Customers.TryAttach(currentCustomer,                 this.ChangeSet.GetOriginal(currentCustomer));         }           public void DeleteCustomer(Customer customer)         {             this.DataContext.Customers.TryAttach(customer);             this.DataContext.Customers.DeleteOnSubmit(customer);         }     } Notice the new base class name (just change LinqToSqlDomainService to LinqToSqlRepository).  I also added a couple of DataContext (for Table<T>) extension methods called TryAttach that will check to see if the supplied entity is already attached before attempting to attach it, which would cause an error! 3. LinqToSqlRepository<T> Below is the code for the LinqToSqlRepository class.  The comments are pretty self explanatory, but be aware of the [IgnoreOperation] attributes on the generic repository methods, which ensures that they will be ignored by the code generator and not available in the Silverlight client application.     /// <summary>     /// Provides generic repository methods on top of the standard     /// <see cref="LinqToSqlDomainService&lt;TContext&gt;"/> functionality.     /// </summary>     /// <typeparam name="TContext">The type of the context.</typeparam>     public abstract class LinqToSqlRepository<TContext> : LinqToSqlDomainService<TContext>         where TContext : System.Data.Linq.DataContext, new()     {         /// <summary>         /// Retrieves an instance of an entity using it's unique identifier.         /// </summary>         /// <typeparam name="TEntity">The type of the entity.</typeparam>         /// <param name="keyValues">The key values.</param>         /// <returns></returns>         [IgnoreOperation]         public virtual TEntity GetById<TEntity>(params object[] keyValues) where TEntity : class         {             var table = this.DataContext.GetTable<TEntity>();             var mapping = this.DataContext.Mapping.GetTable(typeof(TEntity));               var keys = mapping.RowType.IdentityMembers                 .Select((m, i) => m.Name + " = @" + i)                 .ToArray();               return table.Where(String.Join(" && ", keys), keyValues).FirstOrDefault();         }           /// <summary>         /// Creates a new query that can be executed to retrieve a collection         /// of entities from the <see cref="DataContext"/>.         /// </summary>         /// <typeparam name="TEntity">The type of the entity.</typeparam>         /// <returns></returns>         [IgnoreOperation]         public virtual IQueryable<TEntity> GetEntityQuery<TEntity>() where TEntity : class         {             return this.DataContext.GetTable<TEntity>();         }           /// <summary>         /// Inserts the specified entity.         /// </summary>         /// <typeparam name="TEntity">The type of the entity.</typeparam>         /// <param name="entity">The entity.</param>         /// <returns></returns>         [IgnoreOperation]         public virtual bool Insert<TEntity>(TEntity entity) where TEntity : class         {             //var table = this.DataContext.GetTable<TEntity>();             //table.InsertOnSubmit(entity);               return this.Submit(entity, null, DomainOperation.Insert);         }           /// <summary>         /// Updates the specified entity.         /// </summary>         /// <typeparam name="TEntity">The type of the entity.</typeparam>         /// <param name="entity">The entity.</param>         /// <returns></returns>         [IgnoreOperation]         public virtual bool Update<TEntity>(TEntity entity) where TEntity : class         {             return this.Update(entity, null);         }           /// <summary>         /// Updates the specified entity.         /// </summary>         /// <typeparam name="TEntity">The type of the entity.</typeparam>         /// <param name="entity">The entity.</param>         /// <param name="original">The original.</param>         /// <returns></returns>         [IgnoreOperation]         public virtual bool Update<TEntity>(TEntity entity, TEntity original)             where TEntity : class         {             if ( original == null )             {                 original = GetOriginal(entity);             }               var table = this.DataContext.GetTable<TEntity>();             table.TryAttach(entity, original);               return this.Submit(entity, original, DomainOperation.Update);         }           /// <summary>         /// Deletes the specified entity.         /// </summary>         /// <typeparam name="TEntity">The type of the entity.</typeparam>         /// <param name="entity">The entity.</param>         /// <returns></returns>         [IgnoreOperation]         public virtual bool Delete<TEntity>(TEntity entity) where TEntity : class         {             //var table = this.DataContext.GetTable<TEntity>();             //table.TryAttach(entity);             //table.DeleteOnSubmit(entity);               return this.Submit(entity, null, DomainOperation.Delete);         }           protected virtual bool Submit(Object entity, Object original, DomainOperation operation)         {             var entry = new ChangeSetEntry(0, entity, original, operation);             var changes = new ChangeSet(new ChangeSetEntry[] { entry });             return base.Submit(changes);         }           private TEntity GetOriginal<TEntity>(TEntity entity) where TEntity : class         {             var context = CreateDataContext();             var table = context.GetTable<TEntity>();             return table.FirstOrDefault(e => e == entity);         }     } 4. Conclusion So there you have it, a fully functional Repository implementation for your RIA Domain Services that can be consumed by your ASP.NET and MVC applications.  I have uploaded the source code along with unit tests and a sample web application that queries the Customers table from inside a Controller, as well as a Silverlight usage example. As always, I welcome any comments or suggestions on the approach I have taken.  If there is enough interest, I plan on contacting Colin Blair or maybe even the man himself, Brad Abrams, to see if this is something worthy of inclusion in the WCF RIA Services Contrib project.  What do you think? Enjoy!

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  • Talend Enterprise Data Integration overperforms on Oracle SPARC T4

    - by Amir Javanshir
    The SPARC T microprocessor, released in 2005 by Sun Microsystems, and now continued at Oracle, has a good track record in parallel execution and multi-threaded performance. However it was less suited for pure single-threaded workloads. The new SPARC T4 processor is now filling that gap by offering a 5x better single-thread performance over previous generations. Following our long-term relationship with Talend, a fast growing ISV positioned by Gartner in the “Visionaries” quadrant of the “Magic Quadrant for Data Integration Tools”, we decided to test some of their integration components with the T4 chip, more precisely on a T4-1 system, in order to verify first hand if this new processor stands up to its promises. Several tests were performed, mainly focused on: Single-thread performance of the new SPARC T4 processor compared to an older SPARC T2+ processor Overall throughput of the SPARC T4-1 server using multiple threads The tests consisted in reading large amounts of data --ten's of gigabytes--, processing and writing them back to a file or an Oracle 11gR2 database table. They are CPU, memory and IO bound tests. Given the main focus of this project --CPU performance--, bottlenecks were removed as much as possible on the memory and IO sub-systems. When possible, the data to process was put into the ZFS filesystem cache, for instance. Also, two external storage devices were directly attached to the servers under test, each one divided in two ZFS pools for read and write operations. Multi-thread: Testing throughput on the Oracle T4-1 The tests were performed with different number of simultaneous threads (1, 2, 4, 8, 12, 16, 32, 48 and 64) and using different storage devices: Flash, Fibre Channel storage, two stripped internal disks and one single internal disk. All storage devices used ZFS as filesystem and volume management. Each thread read a dedicated 1GB-large file containing 12.5M lines with the following structure: customerID;FirstName;LastName;StreetAddress;City;State;Zip;Cust_Status;Since_DT;Status_DT 1;Ronald;Reagan;South Highway;Santa Fe;Montana;98756;A;04-06-2006;09-08-2008 2;Theodore;Roosevelt;Timberlane Drive;Columbus;Louisiana;75677;A;10-05-2009;27-05-2008 3;Andrew;Madison;S Rustle St;Santa Fe;Arkansas;75677;A;29-04-2005;09-02-2008 4;Dwight;Adams;South Roosevelt Drive;Baton Rouge;Vermont;75677;A;15-02-2004;26-01-2007 […] The following graphs present the results of our tests: Unsurprisingly up to 16 threads, all files fit in the ZFS cache a.k.a L2ARC : once the cache is hot there is no performance difference depending on the underlying storage. From 16 threads upwards however, it is clear that IO becomes a bottleneck, having a good IO subsystem is thus key. Single-disk performance collapses whereas the Sun F5100 and ST6180 arrays allow the T4-1 to scale quite seamlessly. From 32 to 64 threads, the performance is almost constant with just a slow decline. For the database load tests, only the best IO configuration --using external storage devices-- were used, hosting the Oracle table spaces and redo log files. Using the Sun Storage F5100 array allows the T4-1 server to scale up to 48 parallel JVM processes before saturating the CPU. The final result is a staggering 646K lines per second insertion in an Oracle table using 48 parallel threads. Single-thread: Testing the single thread performance Seven different tests were performed on both servers. Given the fact that only one thread, thus one file was read, no IO bottleneck was involved, all data being served from the ZFS cache. Read File ? Filter ? Write File: Read file, filter data, write the filtered data in a new file. The filter is set on the “Status” column: only lines with status set to “A” are selected. This limits each output file to about 500 MB. Read File ? Load Database Table: Read file, insert into a single Oracle table. Average: Read file, compute the average of a numeric column, write the result in a new file. Division & Square Root: Read file, perform a division and square root on a numeric column, write the result data in a new file. Oracle DB Dump: Dump the content of an Oracle table (12.5M rows) into a CSV file. Transform: Read file, transform, write the result data in a new file. The transformations applied are: set the address column to upper case and add an extra column at the end, which is the concatenation of two columns. Sort: Read file, sort a numeric and alpha numeric column, write the result data in a new file. The following table and graph present the final results of the tests: Throughput unit is thousand lines per second processed (K lines/second). Improvement is the % of improvement between the T5140 and T4-1. Test T4-1 (Time s.) T5140 (Time s.) Improvement T4-1 (Throughput) T5140 (Throughput) Read/Filter/Write 125 806 645% 100 16 Read/Load Database 195 1111 570% 64 11 Average 96 557 580% 130 22 Division & Square Root 161 1054 655% 78 12 Oracle DB Dump 164 945 576% 76 13 Transform 159 1124 707% 79 11 Sort 251 1336 532% 50 9 The improvement of single-thread performance is quite dramatic: depending on the tests, the T4 is between 5.4 to 7 times faster than the T2+. It seems clear that the SPARC T4 processor has gone a long way filling the gap in single-thread performance, without sacrifying the multi-threaded capability as it still shows a very impressive scaling on heavy-duty multi-threaded jobs. Finally, as always at Oracle ISV Engineering, we are happy to help our ISV partners test their own applications on our platforms, so don't hesitate to contact us and let's see what the SPARC T4-based systems can do for your application! "As describe in this benchmark, Talend Enterprise Data Integration has overperformed on T4. I was generally happy to see that the T4 gave scaling opportunities for many scenarios like complex aggregations. Row by row insertion in Oracle DB is faster with more than 650,000 rows per seconds without using any bulk Oracle capabilities !" Cedric Carbone, Talend CTO.

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  • Mal kurz erklärt: Advanced Security Option (ASO)

    - by Anne Manke
    v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Heinz-Wilhelm Fabry 12.00 Normal 0 false false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Heinz-Wilhelm Fabry 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} WER? Kunden, die die Oracle Datenbank Enterprise Edition einsetzen und deren Sicherheitsabteilungen bzw. Fachabteilungen die Daten- und/oder Netzwerkverschlüsselung fordern und / oder die personenbezogene Daten in Oracle Datenbanken speichern und / oder die den Zugang zu Datenbanksystemen von der Eingabe Benutzername/Passwort auf Smartcards oder Kerberos umstellen wollen. Heinz-Wilhelm Fabry 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} WAS? Durch das Aktivieren der Option Advanced Security können folgende Anforderungen leicht erfüllt werden: Einzelne Tabellenspalten gezielt verschlüsselt ablegen, wenn beispielsweise der Payment Card Industry Data Security Standard (PCI DSS) oder der Europäischen Datenschutzrichtlinie eine Verschlüsselung bestimmter Daten nahelegen Sichere Datenablage – Verschlüsselung aller Anwendungsdaten Keine spürbare Performance-Veränderung Datensicherungen sind automatisch verschlüsselt - Datendiebstahl aus Backups wird verhindert Verschlüsselung der Netzwerkübertragung – Sniffer-Tools können keine lesbaren Daten abgreifen Aktuelle Verschlüsselungsalgorithmen werden genutzt (AES256, 3DES168, u.a.) Heinz-Wilhelm Fabry 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} WIE? Die Oracle Advanced Security Option ist ein wichtiger Baustein einer ganzheitlichen Sicherheitsarchitektur. Mit ihr lässt sich das Risiko eines Datenmissbrauchs erheblich reduzieren und implementiert ebenfalls den Schutz vor Nicht-DB-Benutzer, wie „root unter Unix“. Somit kann „root“ nicht mehr unerlaubterweise die Datenbank-Files lesen . ASO deckt den kompletten physikalischen Stack ab. Von der Kommunikation zwischen dem Client und der Datenbank, über das verschlüsselte Ablegen der Daten ins Dateisystem bis hin zur Aufbewahrung der Daten in einem Backupsystem. Heinz-Wilhelm Fabry 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Das BVA (Bundesverwaltungsamt) bietet seinen Kunden mit dem neuen Personalverwaltungssystem EPOS 2.0 mehr Sicherheit durch Oracle Sicherheitstechnologien an. Heinz-Wilhelm Fabry 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Und sonst so? Verschlüsselung des Netzwerkverkehrs Wie beeinflusst die Netzwerkverschlüsselung die Performance? Unsere Kunden bestätigen ständig, dass sie besonders in modernen Mehr-Schichten-Architekturen Anwender kaum Performance-Einbußen feststellen. Falls genauere Daten zur Performance benötigt werden, sind realitätsnahe, kundenspezifische Tests unerlässlich. Verschlüsselung von Anwendungsdaten (Transparent Data Encryption-TDE ) Muss ich meine Anwendungen umschreiben, damit sie TDE nutzen können? NEIN. TDE ist völlig transparent für Ihre Anwendungen. Kann ich nicht auch durch meine Applikation die Daten verschlüsseln? Ja - die Applikationsdaten werden dadurch allerdings nur in LOBs oder Textfeldern gespeichert. Und das hat gravierende Nachteile: Es existieren zum Beispiel keine Datums- /Zahlenfelder. Daraus folgt, dass auf diesen Daten kein sinnvolles Berichtsverfahren funktioniert. Auch können Applikationen nicht mit den Daten arbeiten, die von einer anderen Applikation verschlüsselt wurden. Der wichtigste Aspekt gegen die Verschlüsselung innerhalb einer Applikation ist allerdings die Performanz. Da keine Indizes auf die durch eine Applikation verschlüsselten Daten erstellt werden können, wird die Datenbank bei jedem Zugriff ein Full-Table-Scan durchführen, also jeden Satz der betroffenen Tabelle lesen. Dadurch steigt der Ressourcenbedarf möglicherweise enorm und daraus resultieren wiederum möglicherweise höhere Lizenzkosten. Mit ASO verschlüsselte Daten können von der Oracle DB Firewall gelesen und ausgewertet werden. Warum sollte ich TDE nutzen statt einer kompletten Festplattenverschlüsselung? TDE bietet einen weitergehenden Schutz. Denn TDE schützt auch vor Systemadministratoren, die zwar keinen Zugriff auf die Datenbank, aber auf der Betriebssystemebene Zugriff auf die Datenbankdateien haben. Ausserdem bleiben einmal verschlüsselte Daten verschlüsselt, egal wo diese hinkopiert werden. Dies ist bei einer Festplattenverschlüssung nicht der Fall. Welche Verschlüsselungsalgorithmen stehen zur Verfügung? AES (256-, 192-, 128-bit key) 3DES (3-key)

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