Search Results

Search found 65101 results on 2605 pages for 'big data'.

Page 30/2605 | < Previous Page | 26 27 28 29 30 31 32 33 34 35 36 37  | Next Page >

  • Passing data between ViewControllers versus doing local Fetch in each VC

    - by Tofrizer
    Hi All, I'm developing an iPhone app using Core Data and I'm looking for some general advice and recommendations on whether its acceptable to pass data between ViewControllers versus doing a local fetch in each ViewController as you navigate to it. Ordinarily I would say it all depends on various factors (e.g. performance etc) but the passing data approach is so prevalent in my app and I'm spooked by all the stories about Apple rejecting apps because of not conforming to their standard guidelines. So let me put another way -- is it non-standard to pass data between VC's? The reason I pass data so much is because each ViewController is just another view on to data present in my object model / graph. Once I have a handle on my first object in the first view controller (which I of course do have to fetch), I can use the existing object composition / relationships to drill down into the next level of detail into data and so I just pass these objects to the next VC. Separately, one possible downside with this passing-data-to-each-VC approach is I don't benefit from (what I perceive to be) the optimisation/benefits that NSFetchedResultsController provides in terms of efficient memory usage and section handling. My app is read-only but I do have one table with 5000 rows and I'm curious if I am missing out on NSFetchedResultsController benefits. Any thoughts on this as well? Can I somehow still benefit from NSFetchedResultsController goodness without having to do a full fetch (as I would have already passed in the data from my previous VC)? Thanks a lot.

    Read the article

  • How would you mask data returned in a Dynamic Data for Entities website?

    - by David Stratton
    I'm doing this in Visual Studio 2008, not 2010, in case there is a relevant difference between the two versions of the Dynamic Data websites. How would I mask data in the automatically generated tables in a Dynamic Data for Entities website? The scenario is we have one table where we want to allow users to ENTER sensitive data, but not VIEW sensitive data, so... (In the list below, I'm using "template" to mean "The web page generated automatically based on the schema and action. I'm sure that's the wrong terminology, but the meaning should be clear.) The "Insert" template should have the field's textbox available for the user to type a value in. The "Edit" template should have the field's textbox blanked out (empty string) regardless of what was in the field in the database in the first place, but the user should be able to type in new data and have it save The "View" template should either have the data for this field masked, or non-visible. The auto-generated table showing the list of records should also have this field masked or non-visible. I can do this easily with standard Web Forms, but I'm having a hard time figuring this out in the Dynamic Data site I'm working on. Masking data is such a common task, I have to believe Microsoft thought of this and provided a way to do it...

    Read the article

  • Faster Trip to Innovation with Simplified Data Integration: Sabre Holdings Case Study

    - by Tanu Sood
    Normal 0 false false false EN-US X-NONE X-NONE /* 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:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; 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-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Author: Irem Radzik, Director of Product Marketing, Data Integration, Oracle In today’s fast-paced, competitive environment, IT teams are under pressure to deliver technology solutions for many critical business initiatives as fast as possible. When the focus is on speed, it can be easy to continue to use old style, point-to-point custom scripts that grow organically to the point where they are unmanageable and too costly to maintain. As data volumes, data sources, and end users grow, uncoordinated data integration efforts create significant inefficiencies for both IT and business users. In addition to losing IT productivity due to maintaining spaghetti architecture, data integrity becomes a concern as well. Errors caused by inconsistent, data and manual data entry can prove very costly for companies and disrupt business activities. Many industry leaders recognize now that data should be moved in an automated and reliable manner across all platforms to have one version of the truth. By simplifying their data integration architecture and standardizing on a centralized approach, IT teams now accelerate time to market. Especially, using a centralized, shared-service approach brings agility, increases IT productivity, and frees up resources for innovation. One such industry leader that simplified its data integration architecture is Sabre Holdings. Sabre Holdings provides distribution and technology solutions for the travel industry, and is a winner of Oracle Excellence Awards for Fusion Middleware in 2011 in the data integration category. I had the pleasure to host Sabre Holdings on a public webcast and discuss their data integration best practices for data warehousing. In this webcast Sabre’s Amjad Saeed, presented how the company reduced complexity by consolidating systems and standardizing development on Oracle Data Integrator and Oracle GoldenGate for its global data warehouse development team. With Oracle’s complete real-time data integration solution, Sabre also streamlined support and maintenance operations, achieved real-time view in the execution of the integration processes, and can manage the data warehouse and business intelligence solution performance on demand. By reducing complexity and leveraging timely market insights, the company was able to decrease time to market by 40%. You can now listen to the webcast on demand: Sabre Holdings Case Study: Accelerating Innovation using Oracle Data Integration I invite you to hear directly from Sabre how to use advanced data integration capabilities to enable accelerated innovation. To learn more about Oracle’s data integration offering you can download our free resources.

    Read the article

  • java: libraries for immutable functional-style data structures

    - by Jason S
    This is very similar to another question (Functional Data Structures in Java) but the answers there are not particularly useful. I need to use immutable versions of the standard Java collections (e.g. HashMap / TreeMap / ArrayList / LinkedList / HashSet / TreeSet). By "immutable" I mean immutable in the functional sense (e.g. purely functional data structures), where updating operations on the data structure do not change the original data, but instead return a new instance of the same kind of data structure. Also typically new and old instances of the data structure will share immutable data to be efficient in time and space. From what I can tell my options include: Functional Java Scala Clojure but I'm not sure whether any of these are particularly appealing to me. I have a few requirements/desirements: the collections in question should be usable directly in Java (with the appropriate libraries in the classpath). FJ would work for me; I'm not sure if I can use Scala's or Clojure's data structures in Java w/o having to use the compilers/interpreters from those languages and w/o having to write Scala or Clojure code. Core operations on lists/maps/sets should be possible w/o having to create function objects with confusing syntaxes (FJ looks slightly iffy) They should be efficient in time and space. I'm looking for a library which ideally has done some performance testing. FJ's TreeMap is based on a red-black tree, not sure how that rates. Documentation / tutorials should be good enough so someone can get started quickly using the data structures. FJ fails on that front. Any suggestions?

    Read the article

  • Basic Spatial Data with SQL Server and Entity Framework 5.0

    - by Rick Strahl
    In my most recent project we needed to do a bit of geo-spatial referencing. While spatial features have been in SQL Server for a while using those features inside of .NET applications hasn't been as straight forward as could be, because .NET natively doesn't support spatial types. There are workarounds for this with a few custom project like SharpMap or a hack using the Sql Server specific Geo types found in the Microsoft.SqlTypes assembly that ships with SQL server. While these approaches work for manipulating spatial data from .NET code, they didn't work with database access if you're using Entity Framework. Other ORM vendors have been rolling their own versions of spatial integration. In Entity Framework 5.0 running on .NET 4.5 the Microsoft ORM finally adds support for spatial types as well. In this post I'll describe basic geography features that deal with single location and distance calculations which is probably the most common usage scenario. SQL Server Transact-SQL Syntax for Spatial Data Before we look at how things work with Entity framework, lets take a look at how SQL Server allows you to use spatial data to get an understanding of the underlying semantics. The following SQL examples should work with SQL 2008 and forward. Let's start by creating a test table that includes a Geography field and also a pair of Long/Lat fields that demonstrate how you can work with the geography functions even if you don't have geography/geometry fields in the database. Here's the CREATE command:CREATE TABLE [dbo].[Geo]( [id] [int] IDENTITY(1,1) NOT NULL, [Location] [geography] NULL, [Long] [float] NOT NULL, [Lat] [float] NOT NULL ) Now using plain SQL you can insert data into the table using geography::STGeoFromText SQL CLR function:insert into Geo( Location , long, lat ) values ( geography::STGeomFromText ('POINT(-121.527200 45.712113)', 4326), -121.527200, 45.712113 ) insert into Geo( Location , long, lat ) values ( geography::STGeomFromText ('POINT(-121.517265 45.714240)', 4326), -121.517265, 45.714240 ) insert into Geo( Location , long, lat ) values ( geography::STGeomFromText ('POINT(-121.511536 45.714825)', 4326), -121.511536, 45.714825) The STGeomFromText function accepts a string that points to a geometric item (a point here but can also be a line or path or polygon and many others). You also need to provide an SRID (Spatial Reference System Identifier) which is an integer value that determines the rules for how geography/geometry values are calculated and returned. For mapping/distance functionality you typically want to use 4326 as this is the format used by most mapping software and geo-location libraries like Google and Bing. The spatial data in the Location field is stored in binary format which looks something like this: Once the location data is in the database you can query the data and do simple distance computations very easily. For example to calculate the distance of each of the values in the database to another spatial point is very easy to calculate. Distance calculations compare two points in space using a direct line calculation. For our example I'll compare a new point to all the points in the database. Using the Location field the SQL looks like this:-- create a source point DECLARE @s geography SET @s = geography:: STGeomFromText('POINT(-121.527200 45.712113)' , 4326); --- return the ids select ID, Location as Geo , Location .ToString() as Point , @s.STDistance( Location) as distance from Geo order by distance The code defines a new point which is the base point to compare each of the values to. You can also compare values from the database directly, but typically you'll want to match a location to another location and determine the difference for which you can use the geography::STDistance function. This query produces the following output: The STDistance function returns the straight line distance between the passed in point and the point in the database field. The result for SRID 4326 is always in meters. Notice that the first value passed was the same point so the difference is 0. The other two points are two points here in town in Hood River a little ways away - 808 and 1256 meters respectively. Notice also that you can order the result by the resulting distance, which effectively gives you results that are ordered radially out from closer to further away. This is great for searches of points of interest near a central location (YOU typically!). These geolocation functions are also available to you if you don't use the Geography/Geometry types, but plain float values. It's a little more work, as each point has to be created in the query using the string syntax, but the following code doesn't use a geography field but produces the same result as the previous query.--- using float fields select ID, geography::STGeomFromText ('POINT(' + STR (long, 15,7 ) + ' ' + Str(lat ,15, 7) + ')' , 4326), geography::STGeomFromText ('POINT(' + STR (long, 15,7 ) + ' ' + Str(lat ,15, 7) + ')' , 4326). ToString(), @s.STDistance( geography::STGeomFromText ('POINT(' + STR(long ,15, 7) + ' ' + Str(lat ,15, 7) + ')' , 4326)) as distance from geo order by distance Spatial Data in the Entity Framework Prior to Entity Framework 5.0 on .NET 4.5 consuming of the data above required using stored procedures or raw SQL commands to access the spatial data. In Entity Framework 5 however, Microsoft introduced the new DbGeometry and DbGeography types. These immutable location types provide a bunch of functionality for manipulating spatial points using geometry functions which in turn can be used to do common spatial queries like I described in the SQL syntax above. The DbGeography/DbGeometry types are immutable, meaning that you can't write to them once they've been created. They are a bit odd in that you need to use factory methods in order to instantiate them - they have no constructor() and you can't assign to properties like Latitude and Longitude. Creating a Model with Spatial Data Let's start by creating a simple Entity Framework model that includes a Location property of type DbGeography: public class GeoLocationContext : DbContext { public DbSet<GeoLocation> Locations { get; set; } } public class GeoLocation { public int Id { get; set; } public DbGeography Location { get; set; } public string Address { get; set; } } That's all there's to it. When you run this now against SQL Server, you get a Geography field for the Location property, which looks the same as the Location field in the SQL examples earlier. Adding Spatial Data to the Database Next let's add some data to the table that includes some latitude and longitude data. An easy way to find lat/long locations is to use Google Maps to pinpoint your location, then right click and click on What's Here. Click on the green marker to get the GPS coordinates. To add the actual geolocation data create an instance of the GeoLocation type and use the DbGeography.PointFromText() factory method to create a new point to assign to the Location property:[TestMethod] public void AddLocationsToDataBase() { var context = new GeoLocationContext(); // remove all context.Locations.ToList().ForEach( loc => context.Locations.Remove(loc)); context.SaveChanges(); var location = new GeoLocation() { // Create a point using native DbGeography Factory method Location = DbGeography.PointFromText( string.Format("POINT({0} {1})", -121.527200,45.712113) ,4326), Address = "301 15th Street, Hood River" }; context.Locations.Add(location); location = new GeoLocation() { Location = CreatePoint(45.714240, -121.517265), Address = "The Hatchery, Bingen" }; context.Locations.Add(location); location = new GeoLocation() { // Create a point using a helper function (lat/long) Location = CreatePoint(45.708457, -121.514432), Address = "Kaze Sushi, Hood River" }; context.Locations.Add(location); location = new GeoLocation() { Location = CreatePoint(45.722780, -120.209227), Address = "Arlington, OR" }; context.Locations.Add(location); context.SaveChanges(); } As promised, a DbGeography object has to be created with one of the static factory methods provided on the type as the Location.Longitude and Location.Latitude properties are read only. Here I'm using PointFromText() which uses a "Well Known Text" format to specify spatial data. In the first example I'm specifying to create a Point from a longitude and latitude value, using an SRID of 4326 (just like earlier in the SQL examples). You'll probably want to create a helper method to make the creation of Points easier to avoid that string format and instead just pass in a couple of double values. Here's my helper called CreatePoint that's used for all but the first point creation in the sample above:public static DbGeography CreatePoint(double latitude, double longitude) { var text = string.Format(CultureInfo.InvariantCulture.NumberFormat, "POINT({0} {1})", longitude, latitude); // 4326 is most common coordinate system used by GPS/Maps return DbGeography.PointFromText(text, 4326); } Using the helper the syntax becomes a bit cleaner, requiring only a latitude and longitude respectively. Note that my method intentionally swaps the parameters around because Latitude and Longitude is the common format I've seen with mapping libraries (especially Google Mapping/Geolocation APIs with their LatLng type). When the context is changed the data is written into the database using the SQL Geography type which looks the same as in the earlier SQL examples shown. Querying Once you have some location data in the database it's now super easy to query the data and find out the distance between locations. A common query is to ask for a number of locations that are near a fixed point - typically your current location and order it by distance. Using LINQ to Entities a query like this is easy to construct:[TestMethod] public void QueryLocationsTest() { var sourcePoint = CreatePoint(45.712113, -121.527200); var context = new GeoLocationContext(); // find any locations within 5 kilometers ordered by distance var matches = context.Locations .Where(loc => loc.Location.Distance(sourcePoint) < 5000) .OrderBy( loc=> loc.Location.Distance(sourcePoint) ) .Select( loc=> new { Address = loc.Address, Distance = loc.Location.Distance(sourcePoint) }); Assert.IsTrue(matches.Count() > 0); foreach (var location in matches) { Console.WriteLine("{0} ({1:n0} meters)", location.Address, location.Distance); } } This example produces: 301 15th Street, Hood River (0 meters)The Hatchery, Bingen (809 meters)Kaze Sushi, Hood River (1,074 meters)   The first point in the database is the same as my source point I'm comparing against so the distance is 0. The other two are within the 5 mile radius, while the Arlington location which is 65 miles or so out is not returned. The result is ordered by distance from closest to furthest away. In the code, I first create a source point that is the basis for comparison. The LINQ query then selects all locations that are within 5km of the source point using the Location.Distance() function, which takes a source point as a parameter. You can either use a pre-defined value as I'm doing here, or compare against another database DbGeography property (say when you have to points in the same database for things like routes). What's nice about this query syntax is that it's very clean and easy to read and understand. You can calculate the distance and also easily order by the distance to provide a result that shows locations from closest to furthest away which is a common scenario for any application that places a user in the context of several locations. It's now super easy to accomplish this. Meters vs. Miles As with the SQL Server functions, the Distance() method returns data in meters, so if you need to work with miles or feet you need to do some conversion. Here are a couple of helpers that might be useful (can be found in GeoUtils.cs of the sample project):/// <summary> /// Convert meters to miles /// </summary> /// <param name="meters"></param> /// <returns></returns> public static double MetersToMiles(double? meters) { if (meters == null) return 0F; return meters.Value * 0.000621371192; } /// <summary> /// Convert miles to meters /// </summary> /// <param name="miles"></param> /// <returns></returns> public static double MilesToMeters(double? miles) { if (miles == null) return 0; return miles.Value * 1609.344; } Using these two helpers you can query on miles like this:[TestMethod] public void QueryLocationsMilesTest() { var sourcePoint = CreatePoint(45.712113, -121.527200); var context = new GeoLocationContext(); // find any locations within 5 miles ordered by distance var fiveMiles = GeoUtils.MilesToMeters(5); var matches = context.Locations .Where(loc => loc.Location.Distance(sourcePoint) <= fiveMiles) .OrderBy(loc => loc.Location.Distance(sourcePoint)) .Select(loc => new { Address = loc.Address, Distance = loc.Location.Distance(sourcePoint) }); Assert.IsTrue(matches.Count() > 0); foreach (var location in matches) { Console.WriteLine("{0} ({1:n1} miles)", location.Address, GeoUtils.MetersToMiles(location.Distance)); } } which produces: 301 15th Street, Hood River (0.0 miles)The Hatchery, Bingen (0.5 miles)Kaze Sushi, Hood River (0.7 miles) Nice 'n simple. .NET 4.5 Only Note that DbGeography and DbGeometry are exclusive to Entity Framework 5.0 (not 4.4 which ships in the same NuGet package or installer) and requires .NET 4.5. That's because the new DbGeometry and DbGeography (and related) types are defined in the 4.5 version of System.Data.Entity which is a CLR assembly and is only updated by major versions of .NET. Why this decision was made to add these types to System.Data.Entity rather than to the frequently updated EntityFramework assembly that would have possibly made this work in .NET 4.0 is beyond me, especially given that there are no native .NET framework spatial types to begin with. I find it also odd that there is no native CLR spatial type. The DbGeography and DbGeometry types are specific to Entity Framework and live on those assemblies. They will also work for general purpose, non-database spatial data manipulation, but then you are forced into having a dependency on System.Data.Entity, which seems a bit silly. There's also a System.Spatial assembly that's apparently part of WCF Data Services which in turn don't work with Entity framework. Another example of multiple teams at Microsoft not communicating and implementing the same functionality (differently) in several different places. Perplexed as a I may be, for EF specific code the Entity framework specific types are easy to use and work well. Working with pre-.NET 4.5 Entity Framework and Spatial Data If you can't go to .NET 4.5 just yet you can also still use spatial features in Entity Framework, but it's a lot more work as you can't use the DbContext directly to manipulate the location data. You can still run raw SQL statements to write data into the database and retrieve results using the same TSQL syntax I showed earlier using Context.Database.ExecuteSqlCommand(). Here's code that you can use to add location data into the database:[TestMethod] public void RawSqlEfAddTest() { string sqlFormat = @"insert into GeoLocations( Location, Address) values ( geography::STGeomFromText('POINT({0} {1})', 4326),@p0 )"; var sql = string.Format(sqlFormat,-121.527200, 45.712113); Console.WriteLine(sql); var context = new GeoLocationContext(); Assert.IsTrue(context.Database.ExecuteSqlCommand(sql,"301 N. 15th Street") > 0); } Here I'm using the STGeomFromText() function to add the location data. Note that I'm using string.Format here, which usually would be a bad practice but is required here. I was unable to use ExecuteSqlCommand() and its named parameter syntax as the longitude and latitude parameters are embedded into a string. Rest assured it's required as the following does not work:string sqlFormat = @"insert into GeoLocations( Location, Address) values ( geography::STGeomFromText('POINT(@p0 @p1)', 4326),@p2 )";context.Database.ExecuteSqlCommand(sql, -121.527200, 45.712113, "301 N. 15th Street") Explicitly assigning the point value with string.format works however. There are a number of ways to query location data. You can't get the location data directly, but you can retrieve the point string (which can then be parsed to get Latitude and Longitude) and you can return calculated values like distance. Here's an example of how to retrieve some geo data into a resultset using EF's and SqlQuery method:[TestMethod] public void RawSqlEfQueryTest() { var sqlFormat = @" DECLARE @s geography SET @s = geography:: STGeomFromText('POINT({0} {1})' , 4326); SELECT Address, Location.ToString() as GeoString, @s.STDistance( Location) as Distance FROM GeoLocations ORDER BY Distance"; var sql = string.Format(sqlFormat, -121.527200, 45.712113); var context = new GeoLocationContext(); var locations = context.Database.SqlQuery<ResultData>(sql); Assert.IsTrue(locations.Count() > 0); foreach (var location in locations) { Console.WriteLine(location.Address + " " + location.GeoString + " " + location.Distance); } } public class ResultData { public string GeoString { get; set; } public double Distance { get; set; } public string Address { get; set; } } Hopefully you don't have to resort to this approach as it's fairly limited. Using the new DbGeography/DbGeometry types makes this sort of thing so much easier. When I had to use code like this before I typically ended up retrieving data pks only and then running another query with just the PKs to retrieve the actual underlying DbContext entities. This was very inefficient and tedious but it did work. Summary For the current project I'm working on we actually made the switch to .NET 4.5 purely for the spatial features in EF 5.0. This app heavily relies on spatial queries and it was worth taking a chance with pre-release code to get this ease of integration as opposed to manually falling back to stored procedures or raw SQL string queries to return spatial specific queries. Using native Entity Framework code makes life a lot easier than the alternatives. It might be a late addition to Entity Framework, but it sure makes location calculations and storage easy. Where do you want to go today? ;-) Resources Download Sample Project© Rick Strahl, West Wind Technologies, 2005-2012Posted in ADO.NET  Sql Server  .NET   Tweet !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

    Read the article

  • Hadoop growing pains

    - by Piotr Rodak
    This post is not going to be about SQL Server. I have been reading recently more and more about “Big Data” – very catchy term that describes untamed increase of the data that mankind is producing each day and the struggle to capture the meaning of these data. Ten years ago, and perhaps even three years ago this need was not so recognized. Increasing number of smartphones and discernable trend of mainstream Internet traffic moving to the smartphone generated one means that there is bigger and bigger stream of information that has to be stored, transformed, analysed and perhaps monetized. The nature of this traffic makes if very difficult to wrap it into boundaries of relational database engines. The amount of data makes it near to impossible to process them in relational databases within reasonable time. This is where ‘cloud’ technologies come to play. I just read a good article about the growing pains of Hadoop, which became one of the leading players on distributed processing arena within last year or two. Toby Baer concludes in it that lack of enterprise ready toolsets hinders Hadoop’s apprehension in the enterprise world. While this is true, something else drew my attention. According to the article there are already about half of a dozen of commercially supported distributions of Hadoop. For me, who has not been involved into intricacies of open-source world, this is quite interesting observation. On one hand, it is good that there is competition as it is beneficial in the end to the customer. On the other hand, the customer is faced with difficulty of choosing the right distribution. In future, when Hadoop distributions fork even more, this choice will be even harder. The distributions will have overlapping sets of features, yet will be quite incompatible with each other. I suppose it will take a few years until leaders emerge and the market will begin to resemble what we see in Linux world. There are myriads of distributions, but only few are acknowledged by the industry as enterprise standard. Others are honed by bearded individuals with too much time to spend. In any way, the third fact I can’t help but notice about the proliferation of distributions of Hadoop is that IT professionals will have jobs.   BuzzNet Tags: Hadoop,Big Data,Enterprise IT

    Read the article

  • More details on America's Cup use of Oracle Data Mining

    - by charlie.berger
    BMW Oracle Racing's America's Cup: A Victory for Database Technology BMW Oracle Racing's victory in the 33rd America's Cup yacht race in February showcased the crew's extraordinary sailing expertise. But to hear them talk, the real stars weren't actually human. "The story of this race is in the technology," says Ian Burns, design coordinator for BMW Oracle Racing. Gathering and Mining Sailing DataFrom the drag-resistant hull to its 23-story wing sail, the BMW Oracle USA trimaran is a technological marvel. But to learn to sail it well, the crew needed to review enormous amounts of reliable data every time they took the boat for a test run. Burns and his team collected performance data from 250 sensors throughout the trimaran at the rate of 10 times per second. An hour of sailing alone generates 90 million data points.BMW Oracle Racing turned to Oracle Data Mining in Oracle Database 11g to extract maximum value from the data. Burns and his team reviewed and shared raw data with crew members daily using a Web application built in Oracle Application Express (Oracle APEX). "Someone would say, 'Wouldn't it be great if we could look at some new combination of numbers?' We could quickly build an Oracle Application Express application and share the information during the same meeting," says Burns. Analyzing Wind and Other Environmental ConditionsBurns then streamed the data to the Oracle Austin Data Center, where a dedicated team tackled deeper analysis. Because the data was collected in an Oracle Database, the Data Center team could dive straight into the analytics problems without having to do any extract, transform, and load processes or data conversion. And the many advanced data mining algorithms in Oracle Data Mining allowed the analytics team to build vital performance analytics. For example, the technology team could remove masking elements such as environmental conditions to give accurate data on the best mast rotation for certain wind conditions. Without the data mining, Burns says the boat wouldn't have run as fast. "The design of the boat was important, but once you've got it designed, the whole race is down to how the guys can use it," he says. "With Oracle database technology we could compare the incremental improvements in our performance from the first day of sailing to the very last day. With data mining we could check data against the things we saw, and we could find things that weren't otherwise easily observable and findable."

    Read the article

  • MVC data binding

    - by user441521
    I'm using MVC but I've read that MVVM is sort of about data binding and having pure markup in your views that data bind back to the backend via the data-* attributes. I've looked at knockout but it looks pretty low level and I feel like I can make a library that does this and is much easier to use where basically you only need to call 1 javascript function that will data bind your entire page because of the data-* attributes you assign to html elements. The benefits of this (that I see) is that your view is 100% decoupled from your back-end so that a given view never has to be changed if your back-end changes (ie for asp.net people no more razor in your view that makes your view specific to MS). My question would be, I know there is knockout out there but are there any others that provide this data binding functionality for MVC type applications? I don't want to recreate something that may already exist but I want to make something "better" and easier to use than knockout. To give an example of what I mean here is all the code one would need to get data binding in my library. This isn't final but just showing the idea that all you have to do is call 1 javascript function and set some data-* attribute values and everything ties together. Is this worth seeing through? <script> $(function () { // this is all you have to call to make databinding for POST or GET to work DataBind(); }); </script> <form id="addCustomer" data-bind="Customer" data-controller="Home" data-action="CreateCustomer"> Name: <input type="text" data-bind="Name" data-bind-type="text" /> Birthday: <input type="text" data-bind="Birthday" data-bind-type="text" /> Address: <input type="text" data-bind="Address" data-bind-type="text" /> <input type="submit" value="Save" id="btnSave" /> </form> ================================================= // controller action [HttpPost] public string CreateCustomer(Customer customer) { if(customer.Name == "Rick") return "success"; return "failure"; } // model public class Customer { public string Name { get; set; } public DateTime Birthday { get; set; } public string Address { get; set; } }

    Read the article

  • Hadoop growing pains

    - by Piotr Rodak
    This post is not going to be about SQL Server. I have been reading recently more and more about “Big Data” – very catchy term that describes untamed increase of the data that mankind is producing each day and the struggle to capture the meaning of these data. Ten years ago, and perhaps even three years ago this need was not so recognized. Increasing number of smartphones and discernable trend of mainstream Internet traffic moving to the smartphone generated one means that there is bigger and bigger stream of information that has to be stored, transformed, analysed and perhaps monetized. The nature of this traffic makes if very difficult to wrap it into boundaries of relational database engines. The amount of data makes it near to impossible to process them in relational databases within reasonable time. This is where ‘cloud’ technologies come to play. I just read a good article about the growing pains of Hadoop, which became one of the leading players on distributed processing arena within last year or two. Toby Baer concludes in it that lack of enterprise ready toolsets hinders Hadoop’s apprehension in the enterprise world. While this is true, something else drew my attention. According to the article there are already about half of a dozen of commercially supported distributions of Hadoop. For me, who has not been involved into intricacies of open-source world, this is quite interesting observation. On one hand, it is good that there is competition as it is beneficial in the end to the customer. On the other hand, the customer is faced with difficulty of choosing the right distribution. In future, when Hadoop distributions fork even more, this choice will be even harder. The distributions will have overlapping sets of features, yet will be quite incompatible with each other. I suppose it will take a few years until leaders emerge and the market will begin to resemble what we see in Linux world. There are myriads of distributions, but only few are acknowledged by the industry as enterprise standard. Others are honed by bearded individuals with too much time to spend. In any way, the third fact I can’t help but notice about the proliferation of distributions of Hadoop is that IT professionals will have jobs.   BuzzNet Tags: Hadoop,Big Data,Enterprise IT

    Read the article

  • Three Master Data Management Deployment Tips

    - by david.butler(at)oracle.com
    MDM is all about data quality and data governance. We now know that improved data quality raises all operational and analytical boats. But it's not just about deploying data quality tools. It's about deploying data quality tools within and across the IT landscape - from a thousand points of data entry to a single version of the truth. Here are three tips to deploying MDM across your applications and enterprise.   #1: Identify a tactical, high-value business problem where MDM can materially help. §  Support a customer acquisition and retention program with a 'customer' master data solution. §  Accelerate new products and services to market with a 'product' master data solution. §  Reduce supplier exceptions or support spend control initiatives with a 'supplier' master data solution. §  Support new store (branch, campus, restaurant, hospital, office, well head) location analysis with a 'site' master data solution. §  Fix long standing Chart of Accounts and Cost Center problems with a 'financial' master data solution. §  Support M&A activity, application upgrades, an SOA initiative, a cloud computing program, or a new business intelligence deployment by implementing a mix of master data solutions.   #2: Incrementally expand to a full information architecture. Quite often, the measurable return on interest from tactical MDM initiatives will fund future deployments. Over time, the MDM solution expands into its full architecture to cover the entire IT landscape. Operations and analytics are united, IT flexibility is restored, and sustainable competitive advantage is achieved.   #3: Bring business into every MDM deployment. To be successful, MDM must work hand in hand with data governance. In fact, Oracle MDM incorporates data governance tools for business users. IT can insure data quality, but only after the business side has defined what quality means. The business establishes the rules for governing the master data, and then IT enforces the rules via the MDM applications. Without this business/IT collaboration, MDM initiatives seldom achieve their full potential.   It is not very often that a technology comes along that can measurably assist organizations across a wide variety of top IT initiatives. Reducing costs, increasing flexibility, getting more out of existing assets, and aligning business and IT are not easy tasks for any CIO. But with MDM, success is achievable. IT can regain its place as a center for innovation.   For more information on this topic, take a look at my article Master Data Management Deployment Tips in the Opinion Section of Oracle's Profit Online magazine.

    Read the article

  • 9/13 Live Webcast!!! Drive Innovation from Big Data Don't delay - register now!

    - by jgelhaus
    Big data solutions can help you find new insights, capitalize on hidden relationships, and deliver new value to your business. But to derive real business value from big data, you need the right tools and the right strategy. Join the live 9/13 Webcast to get an inside look at the benefits of big data and how you can realize them in your own IT infrastructure. We’ll discuss: The defining characteristics of big data Various big data use cases and examples Requirements for new skills and software Highlights of the Oracle big data platform Register now for the live Webcast on 9/13! It's your chance to talk with the Big Data gurus and discover solutions to data challenges that have eluded your data center—until now.

    Read the article

  • ExtJS: Ext.data.DataReader: #realize was called with invalid remote-data

    - by TomH
    I'm receiving a "Ext.data.DataReader: #realize was called with invalid remote-data" error when I create a new record via a POST request. Although similar to the discussion at this SO conversation, my situation is slightly different: My server returns the pk of the new record and additional information that is to be associated with the new record in the grid. My server returns the following: {'success':true,'message':'Created Quote','data': [{'id':'610'}, {'quoteNumber':'1'}]} Where id is the PK for the record in the mysql database. quoteNumber is a db generated value that needs to be added to the created record. Other relevant bits: var quoteRecord = Ext.data.Record.create([{name:'id', type:'int'},{name:'quoteNumber', type:'int'},{name:'slideID'}, {name:'speaker'},{name:'quote'}, {name:'metadataID'}, {name:'priorityID'}]); var quoteWriter = new Ext.data.JsonWriter({ writeAllFields:false, encode:true }); var quoteReader = new Ext.data.JsonReader({id:'id', root:'data',totalProperty: 'totalitems', successProperty: 'success',messageProperty: 'message',idProperty:'id'}, quoteRecord); I'm stumped. Anyone?? thanks tom

    Read the article

  • Using html5 localstorage to retrieve data from server, to allow editing of and appending to data sou

    - by Adam
    So, I'm creating a standard user-data collection form that will be used by standard web browsers, as well as the iPhone and iPad. The app will allow users to create new records, as well as edit and delete existing records. I've gotten the gist of using html5's 'localstorage' to create a client-side data source and am looking for direction for getting existing data from a server into a client-side data source, and then being able to edit or delete that data, or to append a new record to the existing data. Finally, being able to save the updated data back to the server. It sounds like a lot, I know. But I've been pouring through html5 tuts and can't seem to find exactly what I'm looking for.

    Read the article

  • WCF Data Services implementation strategies.

    - by Nix
    Microsoft has done a savvy job of not outlining the actual place for data services in the wonderful world of SOA/Web dev. So my question is simple, are WCF Data Services designed to be used via clients? Or has anyone ever heard of someone using them on the server side? Simple scenario a general layered architecture using BO business objects (parenthesis indicate what is being passed between layers) (XML) WCF Service - (BO)Business Logic - (BO) Dao - Entity Framework or using data services it would be where DS BO are modeled business entities to be used in data service. (XML) WCF Service -(BO) Business Logic - (BO) WCF Data Service - (DS BO)Server I can't see a use for the later, unless there are going to be a lot of cases people would be accessing your data via your Data Service Layer vs the Service layer? Thoughts anyone? I have not seen any mention of using DS from within a Service Layer....

    Read the article

  • How to use HTML-5 data-* attributes in ASP.NET MVC

    - by sleepy
    I am trying to use HTML5 data- attributes in my ASP.NET MVC 1 project. (I am a C# and ASP.NET MVC newbie.) <%= Html.ActionLink("« Previous", "Search", new { keyword = Model.Keyword, page = Model.currPage - 1}, new { @class = "prev", data-details = "Some Details" })%> The "data-details" in the above htmlAttributes give the following error: CS0746: Invalid anonymous type member declarator. Anonymous type members must be declared with a member assignment, simple name or member access. It works when I use data_details, but I guess it need to be starting with "data-" as per the spec. My questions: Is there any way to get this working and use HTML5 data attributes with Html.ActionLink or similar Html helpers ? Is there any other alternative mechanism to attach custom data to an element? This data is to be processed later by JS.

    Read the article

  • getting a blank data report vb6

    - by arvind
    Hi, I am new to vb6. I am working to create the invoice generation application. I am using data report to show the generated invoice. The step by step working of process is Entering the data in to Invoice and ItemsInvoice tables. Then getting the maxId using (Adodc) from the data base to show the last generated Invoice. Then passing the max Id as parameter to the data report which is showing the invoice according to the invoice id. It is working fine when I first time generate invoice. Now for 2nd invoice withou closing application I am getting a blank data report. For data report I am using dataenvironment. I am guessing the reason of blank data report is blank because there was no record for that Id. But actually the record is inserting in the database. Please help me.

    Read the article

  • java: how to compress data into a String and uncompress data from the String

    - by Guillaume
    I want to put some compressed data into a remote repository. To put data on this repository I can only use a method that take the name of the resource and its content as a String. (like data.txt + "hello world"). The repository is moking a filesystem but is not, so I can not use File directly. I want to be able to do the following: client send to server a file 'data.txt' server compress 'data.txt' into data.zip server send to repository content of data.zip repository store data.zip client download from repository data.zip and his able to open it with its favorite zip tool I have tried a lots of compressing example found on the web but each time a send the data to the repository, my resulting zip file is corrupted. Here is a sample class, using the zip*stream and that emulate the repository showcasing my problem. The created zip file is working, but after its 'serialization' it's get corrupted. (the sample class use jakarta commons.io ) Many thanks for your help. package zip; import java.io.File; import java.io.FileInputStream; import java.io.FileOutputStream; import java.io.IOException; import java.io.InputStream; import java.util.zip.ZipEntry; import java.util.zip.ZipInputStream; import java.util.zip.ZipOutputStream; import org.apache.commons.io.FileUtils; /** * Date: May 19, 2010 - 6:13:07 PM * * @author Guillaume AME. */ public class ZipMe { public static void addOrUpdate(File zipFile, File ... files) throws IOException { File tempFile = File.createTempFile(zipFile.getName(), null); // delete it, otherwise you cannot rename your existing zip to it. tempFile.delete(); boolean renameOk = zipFile.renameTo(tempFile); if (!renameOk) { throw new RuntimeException("could not rename the file " + zipFile.getAbsolutePath() + " to " + tempFile.getAbsolutePath()); } byte[] buf = new byte[1024]; ZipInputStream zin = new ZipInputStream(new FileInputStream(tempFile)); ZipOutputStream out = new ZipOutputStream(new FileOutputStream(zipFile)); ZipEntry entry = zin.getNextEntry(); while (entry != null) { String name = entry.getName(); boolean notInFiles = true; for (File f : files) { if (f.getName().equals(name)) { notInFiles = false; break; } } if (notInFiles) { // Add ZIP entry to output stream. out.putNextEntry(new ZipEntry(name)); // Transfer bytes from the ZIP file to the output file int len; while ((len = zin.read(buf)) > 0) { out.write(buf, 0, len); } } entry = zin.getNextEntry(); } // Close the streams zin.close(); // Compress the files if (files != null) { for (File file : files) { InputStream in = new FileInputStream(file); // Add ZIP entry to output stream. out.putNextEntry(new ZipEntry(file.getName())); // Transfer bytes from the file to the ZIP file int len; while ((len = in.read(buf)) > 0) { out.write(buf, 0, len); } // Complete the entry out.closeEntry(); in.close(); } // Complete the ZIP file } tempFile.delete(); out.close(); } public static void main(String[] args) throws IOException { final String zipArchivePath = "c:/temp/archive.zip"; final String tempFilePath = "c:/temp/data.txt"; final String resultZipFile = "c:/temp/resultingArchive.zip"; File zipArchive = new File(zipArchivePath); FileUtils.touch(zipArchive); File tempFile = new File(tempFilePath); FileUtils.writeStringToFile(tempFile, "hello world"); addOrUpdate(zipArchive, tempFile); //archive.zip exists and contains a compressed data.txt that can be read using winrar //now simulate writing of the zip into a in memory cache String archiveText = FileUtils.readFileToString(zipArchive); FileUtils.writeStringToFile(new File(resultZipFile), archiveText); //resultingArchive.zip exists, contains a compressed data.txt, but it can not //be read using winrar: CRC failed in data.txt. The file is corrupt } }

    Read the article

  • jquery - access json data from php

    - by Cinaird
    I have a problem accessing JSON data. I'm new to JSON an jquery so there is probably a easy solution to it and i would be glad to find out. My jQuery: $.post( "currentPage.php", { 'currentPage': 1 }, function(data){ $("body").append(data); } ); currentPage.php: $returnArray['left'] = 'test_left'; $returnArray['right'] = 'test_right'; $returnArray['numLeft'][] = 1; $returnArray['numRight'][] = 2; $returnArray['numRight'][] = 3; print json_encode($returnArray); i tried to access the data like this: data.left data['left'] but it returns blank, how is the best way to access the data?

    Read the article

  • Java: versioned data structures?

    - by Jason S
    I have a data structure that is pretty simple (basically a structure containing some arrays and single values), but I need to record the history of the data structure so that I can efficiently get the contents of the data structure at any point in time. Is there a relatively straightforward way to do this? The best way I can think of would be to encapsulate the whole data structure with something that handles all the mutating operations by storing data in functional data structures, and then for each mutation operation caching a copy of the data structure in a Map indexed by time-ordering (e.g. a TreeMap with real time as keys, or a HashMap with a counter of mutation operations combined with one or more indexes stored in TreeMaps mapping real time / tick count / etc. to mutation operations) any suggestions?

    Read the article

  • JSON to Persistent Data Store (CoreData, etc.)

    - by Bryan Veloso
    All of the data on my application is pulled through an API via JSON. The nature of a good percentage of this data is that it doesn't change very often. So to go and make JSON requests to get a list of data that doesn't change much didn't seem all that appealing. I'm looking for the most sensible option to have this JSON saved onto the iPhone in some sort of persistent data store. Obviously one plus of persisting the data would be to provide it when the phone can't access the API. I've looked at a few examples of having JSON and CoreData interact, for example, but it seems that they only describe transforming NSManagedObjects into JSON. If I can transform JSON into CoreData, my only problem would be being able to change that data when the data from the API does change. (Or, maybe this is all just silly.)

    Read the article

  • best way to statistically detect anomalies in data

    - by reinier
    Hi, our webapp collects huge amount of data about user actions, network business, database load, etc etc etc All data is stored in warehouses and we have quite a lot of interesting views on this data. if something odd happens chances are, it shows up somewhere in the data. However, to manually detect if something out of the ordinary is going on, one has to continually look through this data, and look for oddities. My question: what is the best way to detect changes in dynamic data which can be seen as 'out of the ordinary'. Are bayesan filters (I've seen these mentioned when reading about spam detection) the way to go? Any pointers would be great! EDIT: To clarify the data for example shows a daily curve of database load. This curve typically looks similar to the curve from yesterday In time this curve might change slowly. It would be nice that if the curve from day to day changes say within some perimeters, a warning could go off. R

    Read the article

  • All words in a trie data-structure

    - by John Smith
    I'm trying to put all words in a trie in a string, a word is detonated by the eow field being true for a certain character in the trie data structure, hence a trie can could have letters than lead up to no word, for ex "abc" is in the trie but "c"'s eow field is false so "abc" is not a word Here is my Data structure struct Trie { bool eow; //when a Trie field isWord = true, hence there is a word char letter; Trie *letters[27]; }; and here is my attemped print-all function, basically trying to return all words in one string seperated by spaces for words string printAll( string word, Trie& data) { if (data.eow == 1) return word + " "; for (int i = 0; i < 26; i++) { if (data.letters[i] != NULL) printAll( word + data.letters[i]->letter, *(data.letters[i])); } return ""; } Its not outputting what i want, any suggestions?

    Read the article

  • Getting Database Data to the client side.

    - by Toby Allen
    I'm sure this has been asked a million times, but what is the accepted approach to this? I have been writing php code for a while and up until recently I only copied+pasted javascript code, but now with help from YUI I've begun to understand javascript and want to use it more in an existing web app I have. I want to get various amounts of data from databases etc to the clientside javascript. I have access to this data in my php pages when loading. What is the correct way to get this data to my client side script. Generate clientside javascript in my php or smarty template files inserting the data where I need it? Use an Ajax call to retrieve the information I need from a php file - returning JSON data? Generate a JSON data construct of the data needed by the page and either return it via a script inclusion or dumping it to the generated page? Something really obvious I haven't thought of.

    Read the article

  • what's the key different between data management and data governance?

    - by Sid Xing
    i just read some articles about these two theories, and i thought they have the similar goal, but DG is more about process management by follow some best practice. So my 1st question is about the difference between DG & DM. I'm confused. There're so many concepts around data management. Data quality, data security, data governance, data profiling, data integration, master data management, metadata management.... It seems like neither of them is EXACTLY separated, they're together. My 2nd question, or ask for your suggestion to help me better understand the relation between these concepts. Appreciate your help.

    Read the article

  • Possibly simple PHP/MYSQL issue with retrieving and showing data

    - by envoys
    I have been racking my brains over this for a while now. Here is the data i have in the sql data base as an example: ID | TYPE | DATA 1 | TXT | TEST 2 | PHP | php 3 | JS | JAVASCRIPT That is just an example, there are multiple listing for TXT, PHP and JS throughout the table. What I want to do is retrive all the data and display it all into separate drop down/select boxes. Meaning, select box one would list all data with type TXT, select box two would list all data with type PHP and select box 3 would list all data with type JS. The only way I have came about doing this is doing individual sql queries for each different type. I know there is a way to do it all in 1 query and then display it the way I want to but I just can't seem to figure out how and I know its going to drive me nuts when someone helps and I see just how they did it. Thanks for the input.

    Read the article

< Previous Page | 26 27 28 29 30 31 32 33 34 35 36 37  | Next Page >