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  • Sharing authentication methods across API and web app

    - by Snixtor
    I'm wanting to share an authentication implementation across a web application, and web API. The web application will be ASP.NET (mostly MVC 4), the API will be mostly ASP.NET WEB API, though I anticipate it will also have a few custom modules or handlers. I want to: Share as much authentication implementation between the app and API as possible. Have the web application behave like forms authentication (attractive log-in page, logout option, redirect to / from login page when a request requires authentication / authorisation). Have API callers use something closer to standard HTTP (401 - Unauthorized, not 302 - Redirect). Provide client and server side logout mechanisms that don't require a change of password (so HTTP basic is out, since clients typically cache their credentials). The way I'm thinking of implementing this is using plain old ASP.NET forms authentication for the web application, and pushing another module into the stack (much like MADAM - Mixed Authentication Disposition ASP.NET Module). This module will look for some HTTP header (implementation specific) which indicates "caller is API". If the header "caller is API" is set, then the service will respond differently than standard ASP.NET forms authentication, it will: 401 instead of 302 on a request lacking authentication. Look for username + pass in a custom "Login" HTTP header, and return a FormsAuthentication ticket in a custom "FormsAuth" header. Look for FormsAuthentication ticket in a custom "FormsAuth" header. My question(s) are: Is there a framework for ASP.NET that already covers this scenario? Are there any glaring holes in this proposed implementation? My primary fear is a security risk that I can't see, but I'm similarly concerned that there may be something about such an implementation that will make it overly restrictive or clumsy to work with.

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  • google maps v3 marker mouseover tooltip

    - by Santiago
    Hello, I want to put a tooltip made myself with divs when the mouse is over a marker, but I don't know how to get the screen position to put the div on the correct position, here is my code: google.maps.event.addListener(marker, "mouseover", function() { divover.css("left", marker.get("left")); divover.css("top", marker.get("top")); divover.css("display", "block"); }); google.maps.event.addListener(marker, "mouseout", function() { divover.css("display", "none"); }); Obviously the get method fails. Any Idea?

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  • Google Maps - Reserve Geocode -> Error "invalid label"

    - by Newbie
    Hello! I have the coordinates of my marker. Now I want to get the address of the marker. So I searched the web and found google maps reserve geocode. Now I tried to do the following: $.getJSON('http://maps.google.com/maps/api/geocode/json?latlng='+point.lat()+','+ point.lng() +'&key='+apiKey+'&sensor=false&output=json&callback=?', function(data) { console.log(data); }); When I try to show the address, meaning getting the json, firebug throws the following error: invalid label on "status": "OK",\n I searched a lot, but didn't find an answer solving my problem. Can you tell me whats wrong with my code? Is there another way to get the address data for the coordinates?

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  • Google Maps API v3 - Different markers/labels on different zoom levels

    - by krikara
    I was wondering if it is possible that Google has a feature to view different markers on different zoom levels. For example, on zoom level 1, I want one marker over China with the label saying "5". And as the user zooms in, lets say on zoom level 4, I want the previous marker and label to disappear. And I want to have 5 new markers/labels, each on a different city in China all saying "1". Thus China will say a number and all the cities in China will say numbers adding up to China's number. The key concept I am trying to figure out here is how to hide markers and labels based on zoom levels. A constraint for me is that I am living in China currently where google is censored, so a lot of online documents are censored for me, including many of google's documentations. Here is my code thus far <!DOCTYPE html> <html> <head> <meta name="viewport" content="initial-scale=1.0, user-scalable=no" /> <title>TM China</title> <style type="text/css"> html, body, #map_canvas { margin: 0; padding: 0; height: 100% } .labels { color: red; background-color: white; font-family: "Lucida Grande", "Arial", sans-serif; font-size: 10px; font-weight: bold; text-align: center; width: 60px; border: 2px solid black; white-space: nowrap; } </style> <script type="text/javascript" src="http://maps.googleapis.com/maps/api/js?key=AIzaSyDV0lcdK7C2GHbQAmdkBID70Uppuf-D030&sensor=true"> </script> <script type="text/javascript"> eval(function(p,a,c,k,e,r){e=function(c){return(c<a?'':e(parseInt(c/a)))+((c=c%a)>35?String.fromCharCode(c+29):c.toString(36))};if(!''.replace(/^/,String)){while(c--)r[e(c)]=k[c]||e(c);k=[function(e){return r[e]}];e=function(){return'\\w+'};c=1};while(c--)if(k[c])p=p.replace(new RegExp('\\b'+e(c)+'\\b','g'),k[c]);return p}('7 m(a){2.3=a;2.8=V.1E("1u");2.8.4.C="I: 1m; J: 1g;";2.k=V.1E("1u");2.k.4.C=2.8.4.C}m.l=E 6.5.22();m.l.1Y=7(){n c=2;n h=t;n f=t;n j;n b;n d,K;n i;n g=7(e){p(e.1v){e.1v()}e.2b=u;p(e.1t){e.1t()}};2.1s().24.G(2.8);2.1s().20.G(2.k);2.11=[6.5.9.w(V,"1o",7(a){p(f){a.s=j;i=u;6.5.9.r(c.3,"1n",a)}h=t;6.5.9.r(c.3,"1o",a)}),6.5.9.o(c.3.1P(),"1N",7(a){p(h&&c.3.1M()){a.s=E 6.5.1J(a.s.U()-d,a.s.T()-K);j=a.s;p(f){6.5.9.r(c.3,"1i",a)}F{d=a.s.U()-c.3.Z().U();K=a.s.T()-c.3.Z().T();6.5.9.r(c.3,"1e",a)}}}),6.5.9.w(2.k,"1d",7(e){c.k.4.1c="2i";6.5.9.r(c.3,"1d",e)}),6.5.9.w(2.k,"1D",7(e){c.k.4.1c=c.3.2g();6.5.9.r(c.3,"1D",e)}),6.5.9.w(2.k,"1C",7(e){p(i){i=t}F{g(e);6.5.9.r(c.3,"1C",e)}}),6.5.9.w(2.k,"1A",7(e){g(e);6.5.9.r(c.3,"1A",e)}),6.5.9.w(2.k,"1z",7(e){h=u;f=t;d=0;K=0;g(e);6.5.9.r(c.3,"1z",e)}),6.5.9.o(2.3,"1e",7(a){f=u;b=c.3.1b()}),6.5.9.o(2.3,"1i",7(a){c.3.O(a.s);c.3.D(2a)}),6.5.9.o(2.3,"1n",7(a){f=t;c.3.D(b)}),6.5.9.o(2.3,"29",7(){c.O()}),6.5.9.o(2.3,"28",7(){c.D()}),6.5.9.o(2.3,"27",7(){c.N()}),6.5.9.o(2.3,"26",7(){c.N()}),6.5.9.o(2.3,"25",7(){c.16()}),6.5.9.o(2.3,"23",7(){c.15()}),6.5.9.o(2.3,"21",7(){c.13()}),6.5.9.o(2.3,"1Z",7(){c.L()}),6.5.9.o(2.3,"1X",7(){c.L()})]};m.l.1W=7(){n i;2.8.1r.1q(2.8);2.k.1r.1q(2.k);1p(i=0;i<2.11.1V;i++){6.5.9.1U(2.11[i])}};m.l.1T=7(){2.15();2.16();2.L()};m.l.15=7(){n a=2.3.z("Y");p(H a.1S==="P"){2.8.W=a;2.k.W=2.8.W}F{2.8.G(a);a=a.1R(u);2.k.G(a)}};m.l.16=7(){2.k.1Q=2.3.1O()||""};m.l.L=7(){n i,q;2.8.S=2.3.z("R");2.k.S=2.8.S;2.8.4.C="";2.k.4.C="";q=2.3.z("q");1p(i 1L q){p(q.1K(i)){2.8.4[i]=q[i];2.k.4[i]=q[i]}}2.1l()};m.l.1l=7(){2.8.4.I="1m";2.8.4.J="1g";p(H 2.8.4.B!=="P"){2.8.4.1k="1j(B="+(2.8.4.B*1I)+")"}2.k.4.I=2.8.4.I;2.k.4.J=2.8.4.J;2.k.4.B=0.1H;2.k.4.1k="1j(B=1)";2.13();2.O();2.N()};m.l.13=7(){n a=2.3.z("X");2.8.4.1h=-a.x+"v";2.8.4.1f=-a.y+"v";2.k.4.1h=-a.x+"v";2.k.4.1f=-a.y+"v"};m.l.O=7(){n a=2.1G().1F(2.3.Z());2.8.4.12=a.x+"v";2.8.4.M=a.y+"v";2.k.4.12=2.8.4.12;2.k.4.M=2.8.4.M;2.D()};m.l.D=7(){n a=(2.3.z("14")?-1:+1);p(H 2.3.1b()==="P"){2.8.4.A=2h(2.8.4.M,10)+a;2.k.4.A=2.8.4.A}F{2.8.4.A=2.3.1b()+a;2.k.4.A=2.8.4.A}};m.l.N=7(){p(2.3.z("1a")){2.8.4.Q=2.3.2f()?"2e":"1B"}F{2.8.4.Q="1B"}2.k.4.Q=2.8.4.Q};7 19(a){a=a||{};a.Y=a.Y||"";a.X=a.X||E 6.5.2d(0,0);a.R=a.R||"2c";a.q=a.q||{};a.14=a.14||t;p(H a.1a==="P"){a.1a=u}2.1y=E m(2);6.5.18.1x(2,1w)}19.l=E 6.5.18();19.l.17=7(a){6.5.18.l.17.1x(2,1w);2.1y.17(a)};',62,143,'||this|marker_|style|maps|google|function|labelDiv_|event|||||||||||eventDiv_|prototype|MarkerLabel_|var|addListener|if|labelStyle|trigger|latLng|false|true|px|addDomListener|||get|zIndex|opacity|cssText|setZIndex|new|else|appendChild|typeof|position|overflow|cLngOffset|setStyles|top|setVisible|setPosition|undefined|display|labelClass|className|lng|lat|document|innerHTML|labelAnchor|labelContent|getPosition||listeners_|left|setAnchor|labelInBackground|setContent|setTitle|setMap|Marker|MarkerWithLabel|labelVisible|getZIndex|cursor|mouseover|dragstart|marginTop|hidden|marginLeft|drag|alpha|filter|setMandatoryStyles|absolute|dragend|mouseup|for|removeChild|parentNode|getPanes|stopPropagation|div|preventDefault|arguments|apply|label|mousedown|dblclick|none|click|mouseout|createElement|fromLatLngToDivPixel|getProjection|01|100|LatLng|hasOwnProperty|in|getDraggable|mousemove|getTitle|getMap|title|cloneNode|nodeType|draw|removeListener|length|onRemove|labelstyle_changed|onAdd|labelclass_changed|overlayMouseTarget|labelanchor_changed|OverlayView|labelcontent_changed|overlayImage|title_changed|labelvisible_changed|visible_changed|zindex_changed|position_changed|1000000|cancelBubble|markerLabels|Point|block|getVisible|getCursor|parseInt|pointer'.split('|'),0,{})) var map; var mapOptions = { center: new google.maps.LatLng(35, 105), zoom: 3, mapTypeId: google.maps.MapTypeId.ROADMAP }; var locations = [ ['Hong Kong', 22.39, 114.10, 1885], ['Shanghai', 31.232, 121.47, 5885], ['Beijing', 39.88, 116.40, 6426], ['Guangzhou', 23.129, 113.264, 4067], ['Shenzhen', 22.54, 114.05, 3089], ['Hangzhou', 30.27, 120.15, 954] ]; var infowindow = new google.maps.InfoWindow(); var i; /* for (i = 0; i < locations.length; i++) { marker = new google.maps.Marker({ position: new google.maps.LatLng(locations[i][1], locations[i][2]), map: map }); google.maps.event.addListener(marker, 'click', (function(marker, i) { return function() { infowindow.setContent(locations[i][0]); infowindow.open(map, marker); } })(marker, i)); } */ function myMarker(options) { if(!options.labelAnchor) { options.labelAnchor = new google.maps.Point(30, 50); } if(!options.labelClass) { options.labelClass = "labels"; } options.map = map; return new MarkerWithLabel(options); } function initialize() { map = new google.maps.Map(document.getElementById("map_canvas"), mapOptions); for (i = 0; i < locations.length; i++) { var marker = new MarkerWithLabel({ position: new google.maps.LatLng(locations[i][1], locations[i][2]), draggable: false, map: map, labelContent: locations[i][3], labelAnchor: new google.maps.Point(30, 0), labelClass: "labels", // the CSS class for the label labelStyle: {opacity: 0.75} }); } /* var marker2 = new myMarker({ position: new google.maps.LatLng(20,20), draggable: true, labelContent: "second" }); */ } google.maps.event.addDomListener(window, 'load', initialize); </script> </head> <body onload="initialize()"> <div id="map_canvas" style="width:85%; height:85%"></div> <script type="text/javascript"> </script> </body> </html> EDIT I have been trying to experiment with the MarkerManager, but I can't get the markers to create successfully on different zoom levels. First, I changed my default zoom level to 1, and then I changed my code to what is shown below. function initialize() { map = new google.maps.Map(document.getElementById("map_canvas"), mapOptions); /* for (i = 0; i < locations.length; i++) { var marker = new MarkerWithLabel({ position: new google.maps.LatLng(locations[i][1], locations[i][2]), draggable: false, map: map, labelContent: locations[i][3], labelAnchor: new google.maps.Point(30, 0), labelClass: "labels", // the CSS class for the label labelStyle: {opacity: 0.75} }); } */ var listener = google.maps.event.addListener(map, 'bounds_changed', function(){ setupMarkers(); google.maps.event.removeListener(listener); }); } function createCityMarkers() { for (i = 0; i < locations.length; i++) { var marker = new MarkerWithLabel({ position: new google.maps.LatLng(locations[i][1], locations[i][2]), draggable: false, map: map, labelContent: locations[i][3], labelAnchor: new google.maps.Point(30, 0), labelClass: "labels", // the CSS class for the label labelStyle: {opacity: 0.75} }); } } function setupMarkers() { mgr = new MarkerManager(map); google.maps.event.addListener(mgr, 'loaded', function(){ mgr.addMarkers(createCityMarkers(), 4); mgr.refresh(); }); } I have also tried applying the source code of this link as well, but nothing is working out. And when I copy the source code directly to my computer and replace all the icons with markers, the markers still don't appear. I can't seem to figure how to make markers appear using the marker Manager. http://google-maps-utility-library-v3.googlecode.com/svn/tags/markermanager/1.0/examples/weather_map.html

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  • Google I/O 2012 - What's New in the Google Drive SDK

    Google I/O 2012 - What's New in the Google Drive SDK Josh Hudgins, John Day-Richter In this talk, we will introduce a number of major new features and platforms to the Google Drive SDK. We will discuss what we feel is a revolution in the way developers write collaborative applications. We will also announce a new API to make managing files in Google Drive even easier for developers, replacing some legacy APIs in the process. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 556 6 ratings Time: 55:14 More in Science & Technology

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  • Google I/O 2012 - Monetizing Digital Goods with Google Wallet

    Google I/O 2012 - Monetizing Digital Goods with Google Wallet Joel Leitch, Dan Zink, Pali Bhat Whether you're a game developer selling virtual goods or currencies, or a media developer selling news content, videos, music or any other premium digital media, having an simple way to process payments from your customers is important. In this session, we will walk through an explanation of Google Wallet for digital goods, the new features, and the improved pricing model for developers. In addition, Kabam will share their experience with Google Wallet and best practices for integration. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 307 13 ratings Time: 44:31 More in Science & Technology

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  • Google Maps: openInfoWindowTabsHtml + GDownloadUrl (Ajax call) question

    - by Spiros
    I am facing the following problem. On an Google Map I want to add info windows with tabs, where content is loaded from an external file using the GDownloadUrl method. The code works about fine, but with two problems. a) The first time I click on a marker, nothing hapens. I need to click twice to get an info box. After that it works ok. b) When I close an info box and open it again, the tabs repeat themselves. Every time I reopen the info box, those tabs get repeated. So, if using the code below and open the info box 3 times, I get 6 tabs (Info, Photos, Info, Photos, Info, Photos). Any idea of what I am doing wrong here? I have also tried this with JQuery's $.get method, but the results are exactly the same. function createREMarker(lat,long,reID) { var reMarker = new GMarker(rePoint,iconRE); GEvent.addListener(reMarker, "click", function() { GDownloadUrl('testcontent.php?reID='+reID+'&what=info', function(data) { content1 = data; }); GDownloadUrl('testcontent.php?reID='+reID+'&what=photos', function(data) { content2 = data; }); tabs.push(new GInfoWindowTab('Info', '<div id="mapOverlayContent" style="width:375px; height:220px; overflow:auto;">'+content1+'</div>')); tabs.push(new GInfoWindowTab('Photos', '<div id="mapOverlayContent" style="width:375px; height:220px; overflow:auto;">'+content2+'</div>')); reMarker.openInfoWindowTabsHtml(tabs); }); return reMarker; };

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  • Using an alternate JSON Serializer in ASP.NET Web API

    - by Rick Strahl
    The new ASP.NET Web API that Microsoft released alongside MVC 4.0 Beta last week is a great framework for building REST and AJAX APIs. I've been working with it for quite a while now and I really like the way it works and the complete set of features it provides 'in the box'. It's about time that Microsoft gets a decent API for building generic HTTP endpoints into the framework. DataContractJsonSerializer sucks As nice as Web API's overall design is one thing still sucks: The built-in JSON Serialization uses the DataContractJsonSerializer which is just too limiting for many scenarios. The biggest issues I have with it are: No support for untyped values (object, dynamic, Anonymous Types) MS AJAX style Date Formatting Ugly serialization formats for types like Dictionaries To me the most serious issue is dealing with serialization of untyped objects. I have number of applications with AJAX front ends that dynamically reformat data from business objects to fit a specific message format that certain UI components require. The most common scenario I have there are IEnumerable query results from a database with fields from the result set rearranged to fit the sometimes unconventional formats required for the UI components (like jqGrid for example). Creating custom types to fit these messages seems like overkill and projections using Linq makes this much easier to code up. Alas DataContractJsonSerializer doesn't support it. Neither does DataContractSerializer for XML output for that matter. What this means is that you can't do stuff like this in Web API out of the box:public object GetAnonymousType() { return new { name = "Rick", company = "West Wind", entered= DateTime.Now }; } Basically anything that doesn't have an explicit type DataContractJsonSerializer will not let you return. FWIW, the same is true for XmlSerializer which also doesn't work with non-typed values for serialization. The example above is obviously contrived with a hardcoded object graph, but it's not uncommon to get dynamic values returned from queries that have anonymous types for their result projections. Apparently there's a good possibility that Microsoft will ship Json.NET as part of Web API RTM release.  Scott Hanselman confirmed this as a footnote in his JSON Dates post a few days ago. I've heard several other people from Microsoft confirm that Json.NET will be included and be the default JSON serializer, but no details yet in what capacity it will show up. Let's hope it ends up as the default in the box. Meanwhile this post will show you how you can use it today with the beta and get JSON that matches what you should see in the RTM version. What about JsonValue? To be fair Web API DOES include a new JsonValue/JsonObject/JsonArray type that allow you to address some of these scenarios. JsonValue is a new type in the System.Json assembly that can be used to build up an object graph based on a dictionary. It's actually a really cool implementation of a dynamic type that allows you to create an object graph and spit it out to JSON without having to create .NET type first. JsonValue can also receive a JSON string and parse it without having to actually load it into a .NET type (which is something that's been missing in the core framework). This is really useful if you get a JSON result from an arbitrary service and you don't want to explicitly create a mapping type for the data returned. For serialization you can create an object structure on the fly and pass it back as part of an Web API action method like this:public JsonValue GetJsonValue() { dynamic json = new JsonObject(); json.name = "Rick"; json.company = "West Wind"; json.entered = DateTime.Now; dynamic address = new JsonObject(); address.street = "32 Kaiea"; address.zip = "96779"; json.address = address; dynamic phones = new JsonArray(); json.phoneNumbers = phones; dynamic phone = new JsonObject(); phone.type = "Home"; phone.number = "808 123-1233"; phones.Add(phone); phone = new JsonObject(); phone.type = "Home"; phone.number = "808 123-1233"; phones.Add(phone); //var jsonString = json.ToString(); return json; } which produces the following output (formatted here for easier reading):{ name: "rick", company: "West Wind", entered: "2012-03-08T15:33:19.673-10:00", address: { street: "32 Kaiea", zip: "96779" }, phoneNumbers: [ { type: "Home", number: "808 123-1233" }, { type: "Mobile", number: "808 123-1234" }] } If you need to build a simple JSON type on the fly these types work great. But if you have an existing type - or worse a query result/list that's already formatted JsonValue et al. become a pain to work with. As far as I can see there's no way to just throw an object instance at JsonValue and have it convert into JsonValue dictionary. It's a manual process. Using alternate Serializers in Web API So, currently the default serializer in WebAPI is DataContractJsonSeriaizer and I don't like it. You may not either, but luckily you can swap the serializer fairly easily. If you'd rather use the JavaScriptSerializer built into System.Web.Extensions or Json.NET today, it's not too difficult to create a custom MediaTypeFormatter that uses these serializers and can replace or partially replace the native serializer. Here's a MediaTypeFormatter implementation using the ASP.NET JavaScriptSerializer:using System; using System.Net.Http.Formatting; using System.Threading.Tasks; using System.Web.Script.Serialization; using System.Json; using System.IO; namespace Westwind.Web.WebApi { public class JavaScriptSerializerFormatter : MediaTypeFormatter { public JavaScriptSerializerFormatter() { SupportedMediaTypes.Add(new System.Net.Http.Headers.MediaTypeHeaderValue("application/json")); } protected override bool CanWriteType(Type type) { // don't serialize JsonValue structure use default for that if (type == typeof(JsonValue) || type == typeof(JsonObject) || type== typeof(JsonArray) ) return false; return true; } protected override bool CanReadType(Type type) { if (type == typeof(IKeyValueModel)) return false; return true; } protected override System.Threading.Tasks.Taskobject OnReadFromStreamAsync(Type type, System.IO.Stream stream, System.Net.Http.Headers.HttpContentHeaders contentHeaders, FormatterContext formatterContext) { var task = Taskobject.Factory.StartNew(() = { var ser = new JavaScriptSerializer(); string json; using (var sr = new StreamReader(stream)) { json = sr.ReadToEnd(); sr.Close(); } object val = ser.Deserialize(json,type); return val; }); return task; } protected override System.Threading.Tasks.Task OnWriteToStreamAsync(Type type, object value, System.IO.Stream stream, System.Net.Http.Headers.HttpContentHeaders contentHeaders, FormatterContext formatterContext, System.Net.TransportContext transportContext) { var task = Task.Factory.StartNew( () = { var ser = new JavaScriptSerializer(); var json = ser.Serialize(value); byte[] buf = System.Text.Encoding.Default.GetBytes(json); stream.Write(buf,0,buf.Length); stream.Flush(); }); return task; } } } Formatter implementation is pretty simple: You override 4 methods to tell which types you can handle and then handle the input or output streams to create/parse the JSON data. Note that when creating output you want to take care to still allow JsonValue/JsonObject/JsonArray types to be handled by the default serializer so those objects serialize properly - if you let either JavaScriptSerializer or JSON.NET handle them they'd try to render the dictionaries which is very undesirable. If you'd rather use Json.NET here's the JSON.NET version of the formatter:// this code requires a reference to JSON.NET in your project #if true using System; using System.Net.Http.Formatting; using System.Threading.Tasks; using System.Web.Script.Serialization; using System.Json; using Newtonsoft.Json; using System.IO; using Newtonsoft.Json.Converters; namespace Westwind.Web.WebApi { public class JsonNetFormatter : MediaTypeFormatter { public JsonNetFormatter() { SupportedMediaTypes.Add(new System.Net.Http.Headers.MediaTypeHeaderValue("application/json")); } protected override bool CanWriteType(Type type) { // don't serialize JsonValue structure use default for that if (type == typeof(JsonValue) || type == typeof(JsonObject) || type == typeof(JsonArray)) return false; return true; } protected override bool CanReadType(Type type) { if (type == typeof(IKeyValueModel)) return false; return true; } protected override System.Threading.Tasks.Taskobject OnReadFromStreamAsync(Type type, System.IO.Stream stream, System.Net.Http.Headers.HttpContentHeaders contentHeaders, FormatterContext formatterContext) { var task = Taskobject.Factory.StartNew(() = { var settings = new JsonSerializerSettings() { NullValueHandling = NullValueHandling.Ignore, }; var sr = new StreamReader(stream); var jreader = new JsonTextReader(sr); var ser = new JsonSerializer(); ser.Converters.Add(new IsoDateTimeConverter()); object val = ser.Deserialize(jreader, type); return val; }); return task; } protected override System.Threading.Tasks.Task OnWriteToStreamAsync(Type type, object value, System.IO.Stream stream, System.Net.Http.Headers.HttpContentHeaders contentHeaders, FormatterContext formatterContext, System.Net.TransportContext transportContext) { var task = Task.Factory.StartNew( () = { var settings = new JsonSerializerSettings() { NullValueHandling = NullValueHandling.Ignore, }; string json = JsonConvert.SerializeObject(value, Formatting.Indented, new JsonConverter[1] { new IsoDateTimeConverter() } ); byte[] buf = System.Text.Encoding.Default.GetBytes(json); stream.Write(buf,0,buf.Length); stream.Flush(); }); return task; } } } #endif   One advantage of the Json.NET serializer is that you can specify a few options on how things are formatted and handled. You get null value handling and you can plug in the IsoDateTimeConverter which is nice to product proper ISO dates that I would expect any Json serializer to output these days. Hooking up the Formatters Once you've created the custom formatters you need to enable them for your Web API application. To do this use the GlobalConfiguration.Configuration object and add the formatter to the Formatters collection. Here's what this looks like hooked up from Application_Start in a Web project:protected void Application_Start(object sender, EventArgs e) { // Action based routing (used for RPC calls) RouteTable.Routes.MapHttpRoute( name: "StockApi", routeTemplate: "stocks/{action}/{symbol}", defaults: new { symbol = RouteParameter.Optional, controller = "StockApi" } ); // WebApi Configuration to hook up formatters and message handlers // optional RegisterApis(GlobalConfiguration.Configuration); } public static void RegisterApis(HttpConfiguration config) { // Add JavaScriptSerializer formatter instead - add at top to make default //config.Formatters.Insert(0, new JavaScriptSerializerFormatter()); // Add Json.net formatter - add at the top so it fires first! // This leaves the old one in place so JsonValue/JsonObject/JsonArray still are handled config.Formatters.Insert(0, new JsonNetFormatter()); } One thing to remember here is the GlobalConfiguration object which is Web API's static configuration instance. I think this thing is seriously misnamed given that GlobalConfiguration could stand for anything and so is hard to discover if you don't know what you're looking for. How about WebApiConfiguration or something more descriptive? Anyway, once you know what it is you can use the Formatters collection to insert your custom formatter. Note that I insert my formatter at the top of the list so it takes precedence over the default formatter. I also am not removing the old formatter because I still want JsonValue/JsonObject/JsonArray to be handled by the default serialization mechanism. Since they process in sequence and I exclude processing for these types JsonValue et al. still get properly serialized/deserialized. Summary Currently DataContractJsonSerializer in Web API is a pain, but at least we have the ability with relatively limited effort to replace the MediaTypeFormatter and plug in our own JSON serializer. This is useful for many scenarios - if you have existing client applications that used MVC JsonResult or ASP.NET AJAX results from ASMX AJAX services you can plug in the JavaScript serializer and get exactly the same serializer you used in the past so your results will be the same and don't potentially break clients. JSON serializers do vary a bit in how they serialize some of the more complex types (like Dictionaries and dates for example) and so if you're migrating it might be helpful to ensure your client code doesn't break when you switch to ASP.NET Web API. Going forward it looks like Microsoft is planning on plugging in Json.Net into Web API and make that the default. I think that's an awesome choice since Json.net has been around forever, is fast and easy to use and provides a ton of functionality as part of this great library. I just wish Microsoft would have figured this out sooner instead of now at the last minute integrating with it especially given that Json.Net has a similar set of lower level JSON objects JsonValue/JsonObject etc. which now will end up being duplicated by the native System.Json stuff. It's not like we don't already have enough confusion regarding which JSON serializer to use (JavaScriptSerializer, DataContractJsonSerializer, JsonValue/JsonObject/JsonArray and now Json.net). For years I've been using my own JSON serializer because the built in choices are both limited. However, with an official encorsement of Json.Net I'm happily moving on to use that in my applications. Let's see and hope Microsoft gets this right before ASP.NET Web API goes gold.© Rick Strahl, West Wind Technologies, 2005-2012Posted in Web Api  AJAX  ASP.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); })();

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  • SQL SERVER – Guest Post – Architecting Data Warehouse – Niraj Bhatt

    - by pinaldave
    Niraj Bhatt works as an Enterprise Architect for a Fortune 500 company and has an innate passion for building / studying software systems. He is a top rated speaker at various technical forums including Tech·Ed, MCT Summit, Developer Summit, and Virtual Tech Days, among others. Having run a successful startup for four years Niraj enjoys working on – IT innovations that can impact an enterprise bottom line, streamlining IT budgets through IT consolidation, architecture and integration of systems, performance tuning, and review of enterprise applications. He has received Microsoft MVP award for ASP.NET, Connected Systems and most recently on Windows Azure. When he is away from his laptop, you will find him taking deep dives in automobiles, pottery, rafting, photography, cooking and financial statements though not necessarily in that order. He is also a manager/speaker at BDOTNET, Asia’s largest .NET user group. Here is the guest post by Niraj Bhatt. As data in your applications grows it’s the database that usually becomes a bottleneck. It’s hard to scale a relational DB and the preferred approach for large scale applications is to create separate databases for writes and reads. These databases are referred as transactional database and reporting database. Though there are tools / techniques which can allow you to create snapshot of your transactional database for reporting purpose, sometimes they don’t quite fit the reporting requirements of an enterprise. These requirements typically are data analytics, effective schema (for an Information worker to self-service herself), historical data, better performance (flat data, no joins) etc. This is where a need for data warehouse or an OLAP system arises. A Key point to remember is a data warehouse is mostly a relational database. It’s built on top of same concepts like Tables, Rows, Columns, Primary keys, Foreign Keys, etc. Before we talk about how data warehouses are typically structured let’s understand key components that can create a data flow between OLTP systems and OLAP systems. There are 3 major areas to it: a) OLTP system should be capable of tracking its changes as all these changes should go back to data warehouse for historical recording. For e.g. if an OLTP transaction moves a customer from silver to gold category, OLTP system needs to ensure that this change is tracked and send to data warehouse for reporting purpose. A report in context could be how many customers divided by geographies moved from sliver to gold category. In data warehouse terminology this process is called Change Data Capture. There are quite a few systems that leverage database triggers to move these changes to corresponding tracking tables. There are also out of box features provided by some databases e.g. SQL Server 2008 offers Change Data Capture and Change Tracking for addressing such requirements. b) After we make the OLTP system capable of tracking its changes we need to provision a batch process that can run periodically and takes these changes from OLTP system and dump them into data warehouse. There are many tools out there that can help you fill this gap – SQL Server Integration Services happens to be one of them. c) So we have an OLTP system that knows how to track its changes, we have jobs that run periodically to move these changes to warehouse. The question though remains is how warehouse will record these changes? This structural change in data warehouse arena is often covered under something called Slowly Changing Dimension (SCD). While we will talk about dimensions in a while, SCD can be applied to pure relational tables too. SCD enables a database structure to capture historical data. This would create multiple records for a given entity in relational database and data warehouses prefer having their own primary key, often known as surrogate key. As I mentioned a data warehouse is just a relational database but industry often attributes a specific schema style to data warehouses. These styles are Star Schema or Snowflake Schema. The motivation behind these styles is to create a flat database structure (as opposed to normalized one), which is easy to understand / use, easy to query and easy to slice / dice. Star schema is a database structure made up of dimensions and facts. Facts are generally the numbers (sales, quantity, etc.) that you want to slice and dice. Fact tables have these numbers and have references (foreign keys) to set of tables that provide context around those facts. E.g. if you have recorded 10,000 USD as sales that number would go in a sales fact table and could have foreign keys attached to it that refers to the sales agent responsible for sale and to time table which contains the dates between which that sale was made. These agent and time tables are called dimensions which provide context to the numbers stored in fact tables. This schema structure of fact being at center surrounded by dimensions is called Star schema. A similar structure with difference of dimension tables being normalized is called a Snowflake schema. This relational structure of facts and dimensions serves as an input for another analysis structure called Cube. Though physically Cube is a special structure supported by commercial databases like SQL Server Analysis Services, logically it’s a multidimensional structure where dimensions define the sides of cube and facts define the content. Facts are often called as Measures inside a cube. Dimensions often tend to form a hierarchy. E.g. Product may be broken into categories and categories in turn to individual items. Category and Items are often referred as Levels and their constituents as Members with their overall structure called as Hierarchy. Measures are rolled up as per dimensional hierarchy. These rolled up measures are called Aggregates. Now this may seem like an overwhelming vocabulary to deal with but don’t worry it will sink in as you start working with Cubes and others. Let’s see few other terms that we would run into while talking about data warehouses. ODS or an Operational Data Store is a frequently misused term. There would be few users in your organization that want to report on most current data and can’t afford to miss a single transaction for their report. Then there is another set of users that typically don’t care how current the data is. Mostly senior level executives who are interesting in trending, mining, forecasting, strategizing, etc. don’t care for that one specific transaction. This is where an ODS can come in handy. ODS can use the same star schema and the OLAP cubes we saw earlier. The only difference is that the data inside an ODS would be short lived, i.e. for few months and ODS would sync with OLTP system every few minutes. Data warehouse can periodically sync with ODS either daily or weekly depending on business drivers. Data marts are another frequently talked about topic in data warehousing. They are subject-specific data warehouse. Data warehouses that try to span over an enterprise are normally too big to scope, build, manage, track, etc. Hence they are often scaled down to something called Data mart that supports a specific segment of business like sales, marketing, or support. Data marts too, are often designed using star schema model discussed earlier. Industry is divided when it comes to use of data marts. Some experts prefer having data marts along with a central data warehouse. Data warehouse here acts as information staging and distribution hub with spokes being data marts connected via data feeds serving summarized data. Others eliminate the need for a centralized data warehouse citing that most users want to report on detailed data. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Best Practices, Business Intelligence, Data Warehousing, Database, Pinal Dave, PostADay, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Integrate Google Wave With Your Windows Workflow

    - by Matthew Guay
    Have you given Google Wave a try, only to find it difficult to keep up with?  Here’s how you can integrate Google Wave with your desktop and workflow with some free and simple apps. Google Wave is an online web app, and unlike many Google services, it’s not easily integrated with standard desktop applications.  Instead, you’ll have to keep it open in a browser tab, and since it is one of the most intensive HTML5 webapps available today, you may notice slowdowns in many popular browsers.  Plus, it can be hard to stay on top of your Wave conversations and collaborations by just switching back and forth between the website and whatever else you’re working on.  Here we’ll look at some tools that can help you integrate Google Wave with your workflow, and make it feel more native in Windows. Use Google Wave Directly in Windows What’s one of the best ways to make a web app feel like a native application?  By making it into a native application, of course!  Waver is a free Air powered app that can make the mobile version of Google Wave feel at home on your Windows, Mac, or Linux desktop.  We found it to be a quick and easy way to keep on top of our waves and collaborate with our friends. To get started with Waver, open their homepage on the Adobe Air Marketplace (link below) and click Download From Publisher. Waver is powered by Adobe Air, so if you don’t have Adobe Air installed, you’ll need to first download and install it. After clicking the link above, Adobe Air will open a prompt asking what you wish to do with the file.  Click Open, and then install as normal. Once the installation is finished, enter your Google Account info in the window.   After a few moments, you’ll see your Wave account in miniature, running directly in Waver.  Click a Wave to view it, or click New wave to start a new Wave message.  Unfortunately, in our tests the search box didn’t seem to work, but everything else worked fine. Google Wave works great in Waver, though all of the Wave features are not available since it is running the mobile version of Wave. You can still view content from plugins, including YouTube videos, directly in Waver.   Get Wave Notifications From Your Windows Taskbar Most popular email and Twitter clients give you notifications from your system tray when new messages come in.  And with Google Wave Notifier, you can now get the same alerts when you receive a new Wave message. Head over to the Google Wave Notifier site (link below), and click the download link to get started.  Make sure to download the latest Binary zip, as this one will contain the Windows program rather than the source code. Unzip the folder, and then run GoogleWaveNotifier.exe. On first run, you can enter your Google Account information.  Notice that this is not a standard account login window; you’ll need to enter your email address in the Username field, and then your password below it. You can also change other settings from this dialog, including update frequency and whether or not to run at startup.  Click the value, and then select the setting you want from the dropdown menu. Now, you’ll have a new Wave icon in your system tray.  When it detects new Waves or unread updates, it will display a popup notification with details about the unread Waves.  Additionally, the icon will change to show the number of unread Waves.  Click the popup to open Wave in your browser.  Or, if you have Waver installed, simply open the Waver window to view your latest Waves. If you ever need to change settings again in the future, right-click the icon and select Settings, and then edit as above. Get Wave Notifications in Your Email  Most of us have Outlook or Gmail open all day, and seldom leave the house without a Smartphone with push email.  And thanks to a new Wave feature, you can still keep up with your Waves without having to change your workflow. To activate email notifications from Google Wave, login to your Wave account, click the arrow beside your Inbox, and select Notifications. Select how quickly you want to receive notifications, and choose which email address you wish to receive the notifications.  Click Save when you’re finished. Now you’ll receive an email with information about new and updated Waves in your account.  If there were only small changes, you may get enough info directly in the email; otherwise, you can click the link and open that Wave in your browser. Conclusion Google Wave has great potential as a collaboration and communications platform, but by default it can be hard to keep up with what’s going on in your Waves.  These apps for Windows help you integrate Wave with your workflow, and can keep you from constantly logging in and checking for new Waves.  And since Google Wave registration is now open for everyone, it’s a great time to give it a try and see how it works for yourself. Links Signup for Google Wave (Google Account required) Download Waver from the Adobe Air Marketplace Download Google Wave Notifier Similar Articles Productive Geek Tips We Have 20 Google Wave Invites. Want One?Tired of Waiting for Google Wave? Try ShareFlow NowIntegrate Google Docs with Outlook the Easy WayAwesome Desktop Wallpapers: The Windows 7 EditionWeek in Geek: The Stupid Geek Tricks to Hide Extra Windows Edition TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips HippoRemote Pro 2.2 Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Default Programs Editor – One great tool for Setting Defaults Convert BMP, TIFF, PCX to Vector files with RasterVect Free Identify Fonts using WhatFontis.com Windows 7’s WordPad is Actually Good Greate Image Viewing and Management with Zoner Photo Studio Free Windows Media Player Plus! – Cool WMP Enhancer

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  • Data Mining Resources

    - by Dejan Sarka
    There are many different types of analyses, each one with its own pros and cons. Relational reports have a predefined structure, and end users cannot change it. They are simple to use for end users. Reports can use real-time data and snapshots of data to show the state of a report at specific points in time. One of the drawbacks is that report authoring is limited to IT pros and advanced users. Any kind of dynamic restructuring is very limited. If real-time data is used for a report, the report has a negative impact on the performance of the source system. Processing of the reports might be slow because the data comes from relational database management systems, which are not optimized for reporting only. If you create a semantic model of your data, your end users can create ad-hoc report structures. However, the development is more complex because a developer is needed to create these semantic models. For OLAP, you typically use specialized database management systems. You get lightning speed of analyses. End users can use rich and thin clients to interactively change the structure of the report. Typically, they do it graphically. However, the development of an OLAP system is many times quite complex. It involves the preparation and maintenance of an enterprise data warehouse and OLAP cubes. In order to exploit the possibility of real-time restructuring of reports, the users must be both active and educated. The data is usually stale, as it is loaded into data warehouses and OLAP cubes with a scheduled process. With data mining, a structure is not selected in advance; it searches for the structure. As a result, data mining can give you the most valuable results because you can discover patterns you did not expect. A data mining model structure is limited only by the attributes that you use to train the model. One of the drawbacks is that a lot of knowledge is needed for a successful data mining project. End users have to understand the results. Subject matter experts and IT professionals need to understand business problem thoroughly. The development might be sometimes even more complex than the development of OLAP cubes. Each type of analysis has its own place in an enterprise system. SQL Server has tools for all kinds of analyses. However, data mining is the most advanced way of analyzing the data; this is the “I” in BI. In order to get the most out of it, you need to learn quite a lot. In this blog post, I am gathering together resources for learning, including forthcoming events. Books Multiple authors: SQL Server MVP Deep Dives – I wrote an introductory data mining chapter there. Erik Veerman, Teo Lachev and Dejan Sarka: MCTS Self-Paced Training Kit (Exam 70-448): Microsoft SQL Server 2008 - Business Intelligence Development and Maintenance – you can find a good overview of a complete BI solution, including data mining, in this book. Jamie MacLennan, ZhaoHui Tang, and Bogdan Crivat: Data Mining with Microsoft SQL Server 2008 – can’t miss this book if you want to mine your data with SQL Server tools. Michael Berry, Gordon Linoff: Mastering Data Mining: The Art and Science of Customer Relationship Management – data mining from both, business and technical perspective. Dorian Pyle: Data Preparation for Data Mining – an in-depth book about data preparation. Thomas and Ronald Wonnacott: Introductory Statistics – if you thought that you could get away without statistics, then you are not serious about data mining. Jiawei Han and Micheline Kamber: Data Mining Concepts and Techniques – in-depth explanation of the most popular data mining algorithms. Michael Berry and Gordon Linoff: Data Mining Techniques – another book that explains data mining algorithms, more fro a business perspective. Paolo Guidici: Applied Data Mining – very mathematical book, only if you enjoy statistics and mathematics in general. Forthcoming presentations I am presenting two data mining related sessions during the PASS Summit in Charlotte, NC: Wednesday, October 16th, 2013 - Fraud Detection: Notes from the Field – I am showing how to use data mining for a specific business problem. The presentation is based on real-life projects. Friday, October 18th: Excel 2013 Advanced Analytics – I am focusing on Excel Data Mining Add-ins, and how to use them together with Power Pivot and other add-ins. This is the most you can get out of Excel. Sinergija 2013, Belgrade, Serbia Tuesday, October 22nd: Excel 2013 Analytics to the Max – another presentation focusing on the most advanced analytics you can get in Excel. SQL Rally Amsterdam, Netherlands Thursday, November 7th: Advanced Analytics in Excel 2013 – and again I am presenting about data mining in Excel. Why three different titles for the same presentation? I don’t know, I guess I forgot the name I proposed every time right after I sent the proposal. Courses Data Mining with SQL Server 2012 – I wrote a 3-day course for SolidQ. If you are interested in this course, which I could also deliver in a shorter seminar way, you can contact your closes SolidQ subsidiary, or, of course, me directly on addresses [email protected] or [email protected]. This course could also complement the existing courseware portfolio of training providers, which are welcome to contact me as well. OK, now you know: no more excuses, start learning data mining, get the most out of your data

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  • Master Data Services Employees Sample Model

    - by Davide Mauri
    I’ve been playing with Master Data Services quite a lot in those last days and I’m also monitoring the web for all available resources on it. Today I’ve found this freshly released sample available on MSDN Code Gallery: SQL Server Master Data Services Employee Sample Model http://code.msdn.microsoft.com/SSMDSEmployeeSample This sample shows how Recursive Hierarchies can be modeled in order to represent a typical organizational chart scenario where a self-relationship exists on the Employee entity. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Looking for Cutting-Edge Data Integration: 2010 Innovation Awards

    - by dain.hansen
    This year's Oracle Fusion Middleware Innovation Awards will honor customers and partners who are creatively using to various products across Oracle Fusion Middleware. Brand new to this year's awards is a category for Data Integration. Think you have something unique and innovative with one of our Oracle Data Integration products? We'd love to hear from you! Please submit today The deadline for the nomination is 5 p.m. PT Friday, August 6th 2010, and winning organizations will be notified by late August 2010. What you win! FREE pass to Oracle OpenWorld 2010 in San Francisco for select winners in each category. Honored by Oracle executives at awards ceremony held during Oracle OpenWorld 2010 in San Francisco. Oracle Middleware Innovation Award Winner Plaque 1-3 meetings with Oracle Executives during Oracle OpenWorld 2010 Feature article placement in Oracle Magazine and placement in Oracle Press Release Customer snapshot and video testimonial opportunity, to be hosted on oracle.com Podcast interview opportunity with Senior Oracle Executive

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  • Data Integration 12c Raising the Big Data Roof at Oracle OpenWorld

    - 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Times New Roman","serif"; mso-fareast-font-family:"MS Mincho";} Author: Dain Hansen, Director, Oracle It was an exciting OpenWorld 2013 for us in the Data Integration track. Our theme this year was all about ‘being future ready’ - previewing one of our biggest releases this year: Oracle Data Integration 12c. Just this week we followed up with this preview by announcing the general availability of 12c release for Oracle’s key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Times New Roman","serif"; mso-fareast-font-family:"MS Mincho";} Mark Hurd's keynote on day one set the tone for the Data Integration sessions. Mark focused on big data analytics and the changing consumer expectations. Especially real-time insight is a key theme for Oracle overall and data integration products. In Mark Hurd's keynote we heard from key customers, such as Airbus and Thomson Reuters, how real-time analysis of operational data including machine data creates value, in some cases even saves lives. Thomas Kurian gave a deeper look into Oracle's big data and fast data solutions. In the initial lead Data Integration track session - Brad Adelberg, VP of Development, presented Oracle’s Data Integration 12c product strategy based on key trends from the initial OpenWorld keynotes. Brad talked about how Oracle's data integration products address the new data integration requirements that evolved with cloud computing, big data, and changing consumer expectations and how they set the key themes in our products’ road map. Brad explained why and how fast-time to value, high-performance and future-ready solutions is the top focus areas for product development. If you were not able to attend OpenWorld or this session I recommend reading the white paper: Five New Data Integration Requirements and How to Meet them with Oracle Data Integration, which provides an in-depth look into how Oracle addresses the new trends in the DI market. Following Brad’s session, Nick Wagner provided in depth review of Oracle GoldenGate’s latest features and roadmap. Nick discussed how Oracle GoldenGate’s tight integration with Oracle Database sets the product apart from the competition. We also heard that heterogeneity of the product is still a major focus for GoldenGate’s development and there will be more news on that front when there is a major release. 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Times New Roman","serif"; mso-fareast-font-family:"MS Mincho";} After GoldenGate’s product strategy session, Denis Gray from the PM team presented Oracle Data Integrator’s product strategy session, talking about the latest and greatest on ODI. Another good session was delivered by long-time GoldenGate users, Comcast.  Jason Hurd and Amit Patel of Comcast talked about the various use cases they deploy Oracle GoldenGate throughout their enterprise, from database upgrades, feeding reporting systems, to active-active database synchronization.  The Comcast team shared many good tips on how to use GoldenGate for both zero downtime upgrades and active-active replication with conflict management requirement. One of our other important goals we had this year for the Data Integration track at OpenWorld was hearing from our customers. We ended day 1 on just that, with a wonderful award ceremony for Oracle Excellence Awards for Oracle Fusion Middleware Innovation. The ceremony was held in the Yerba Buena Center for the Arts. Congratulations to Royal Bank of Scotland and Yalumba Wine Company, the winners in the Data Integration category. You can find more information on the award and the winners in our previous blog post: 2013 Oracle Excellence Awards for Fusion Middleware Innovation… Selected for their innovation use of Oracle’s Data Integration products; the winners for the Data Integration Category are Royal Bank of Scotland and The Yalumba Wine Company. Congratulations!!! Royal Bank of Scotland’s Market and International Banking division provides clients across the globe with seamless trading and competitive pricing, underpinned by a deep knowledge of risk management across the full spectrum of financial products. They handle millions of transactions daily to keep the lifeblood of their clients’ businesses flowing – whether through payment management solutions or through bespoke trade finance solutions. Royal Bank of Scotland is leveraging Oracle GoldenGate and Oracle Data Integrator along with Oracle Business Intelligence Enterprise Edition and the Oracle Database for a variety of solutions. Mainly, Oracle GoldenGate and Oracle Data Integrator are used to feed their data warehouse – providing a real-time data integration solution that feeds transactional data to their analytics system in minutes to enable improved decision making with timely, accurate data for their business users. Oracle Data Integrator’s in-database transformation capabilities and its ability to integrate with Oracle GoldenGate for real-time data capture is the foundation of this implementation. This solution makes it such that changes happening in the analytics systems are available the same day they are deployed on the operational system with 100% data quality guaranteed. Additionally, the solution has helped to reduce their operational database size from 150GB to 10GB. Impressive! Now what if I told you this solution was built in 3 months and had a less than 6 month return on investment? That’s outstanding! The Yalumba Wine Company is situated in the Barossa Valley of Australia. It is the oldest family owned winery in Australia with a unique way of aging their wines in specially crafted 100 liter barrels. Did you know that “Yalumba” is Aboriginal for “all the land around”? The Yalumba Wine Company is growing rapidly, and was in need of introducing a more modern standard to the existing manufacturing processes to meet globalization demands, overall time-to-market, and better operational efficiency objectives of product development. The Yalumba Wine Company worked with a partner, Bristlecone to develop a unique solution whereby Oracle Data Integrator is leveraged to pull data from Salesforce.com and JD Edwards, in addition to their other pre-existing source systems, for consumption into their data warehouse. They have emphasized the overall ease of developing integration workflows with Oracle Data Integrator. The solution has brought better visibility for the business users, shorter data loading and transformation performance to their data warehouse with rapid incorporation of new data sources, and a solid future-proof foundation for their organization. Moving forward, they plan on leveraging more from Oracle’s Data Integration portfolio. Terrific! In addition to these two customers on Tuesday we featured many other important Oracle Data Integrator and Oracle GoldenGate customers. On Tuesday the GoldenGate panel included: Land O’Lakes, Smuckers, and Veolia Water. Besides giving us yummy nutrition and healthy water, these companies have another aspect in common. They all use GoldenGate to boost their ERP application. Please read the recap by Irem Radzik. On Wednesday, the ODI Panel included: Barry Ralston and Ryan Weber of Infinity Insurance, Paul Stracke of Paychex Inc., and Ian Wall of Vertex Pharmaceuticals for a session filled with interesting projects, use cases and approaches to leveraging Oracle Data Integrator. Please read the recap by Sandrine Riley for more. Thanks to everyone who joined with us and we hope to stay connected! To hear more about our Data Integration12c products join us in an upcoming webcast to learn more. Follow us www.twitter.com/ORCLGoldenGate or goto our website at www.oracle.com/goto/dataintegration

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  • Toggling on/off Markers in Google Maps API v3

    - by Douglas
    I'm having trouble getting the setMap(null); function that everyone seems to be recommending to work. I believe it may be a problem with the way I've implemented the markers. If someone could take a look and let me know if you see something wrong I'd greatly appreciate it. LINK: http://www.dougglover.com/samples/UOITMap/v2/

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  • Can I use google API to convert a PDF into PNGs?

    - by Ken
    I have noticed that when you view PDFs in google docs the PDF viewer renders the PDF file into PNG images. I was wondering if you could use Google Data API to upload a PDF and get the URLs of the rendered PNG files? I have never used the google API or really had the extra time to learn it, but if it help me do this it will be well worth the extra time.

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  • Getting broken link error whle Using App Engine service accounts

    - by jade
    I'm following this tutorial https://developers.google.com/bigquery/docs/authorization#service-accounts-appengine Here is my main.py code import httplib2 from apiclient.discovery import build from google.appengine.ext import webapp from google.appengine.ext.webapp.util import run_wsgi_app from oauth2client.appengine import AppAssertionCredentials # BigQuery API Settings SCOPE = 'https://www.googleapis.com/auth/bigquery' PROJECT_NUMBER = 'XXXXXXXXXX' # REPLACE WITH YOUR Project ID # Create a new API service for interacting with BigQuery credentials = AppAssertionCredentials(scope=SCOPE) http = credentials.authorize(httplib2.Http()) bigquery_service = build('bigquery', 'v2', http=http) class ListDatasets(webapp.RequestHandler): def get(self): datasets = bigquery_service.datasets() listReply = datasets.list(projectId=PROJECT_NUMBER).execute() self.response.out.write('Dataset list:') self.response.out.write(listReply) application = webapp.WSGIApplication( [('/listdatasets(.*)', ListDatasets)], debug=True) def main(): run_wsgi_app(application) if __name__ == "__main__": main() Here is my app.yaml file code application: bigquerymashup version: 1 runtime: python api_version: 1 handlers: - url: /favicon\.ico static_files: favicon.ico upload: favicon\.ico - url: .* script: main.py And yes i have added app engine service account name in google api console Team tab with can edit permissions. When upload the app and try to access the link it says Oops! This link appears to be broken. Ealier i ran this locally and tried to access it using link localhost:8080.Then i thought may be running locally might be giving the error so i uploaded my code to http://bigquerymashup.appspot.com/ but still its giving error.

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  • How to save a stream on google drive?

    - by atu0830
    My application running on google app engine, so can not use File. I want to save a pdf file on other site to google drive, but get a IllegalArgumentException file.setMimeType("application/pdf"); mediaContent = new InputStreamContent(file.getMimeType(), url.openStream()); try { File result = getDrive().files().insert(file, mediaContent) .execute(); return result.getId(); } catch (Exception e) { e.printStackTrace(); } Thanks

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  • how to get IP adress of google search/crawler bot to add to our white list of ip address

    - by Jayapal Chandran
    Hi, Google webmaster tools says network unreachable. When i contacted my hosting provider they said that they have installed firewall which could block frequent incoming ip addresses and they dont know the google's ip adress to unblock. so they requested me to find google search/crawler bot's ip adress so that they can add it to their whitelist. How to find the ip address of google search bot or crawler bot? My site stopped appearing in google search. My hits had gone too low. What should i do? any kind of reply would he helpful.

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  • Adsense Page impression is showing zero

    - by user2687
    Hi, i have created a new adsense account for my blog [link removed as is loaded with ads, popups and who knows what kind of XSS] and integrated ads with my blog. But i am getting page impressions zero. i am getting daily analytic's of 300 to 400 visitor/day still page impression are coming zero only. i have verified my pub-id. i don't no what is the problem. how to contact Google adsense team regarding this. please help me out in this. -Thanks

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  • New blog post shows immediately in google search results where as other HTML content takes time, why?

    - by Jayapal Chandran
    I have a blog which has been active for 3 years. Recently I posted an article and it immediately appeared in google search. Maybe 5 to 10 minutes. A point to note is I was logged into my google account. Maybe google checked my post's when I searched since I am logged in? Yet I logged out and used another browser and searched again with that specific text and it appeared in google search result. How did this happen? However, if I make an article in static HTML and publish, it takes time. (I assume this is the case but I haven't tested much). Yet tested a few cases after updating it in my sitemap xml. How does google search work for a blog and other content?

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  • Is the copy/paste approach professionally viable when working with the Google Maps API?

    - by Ian Campbell
    I find that I understand much of the Javascript concepts used in the Google Maps API code, but then again there is quite a bit that is way over my head in syntax. For example, the geocoder syntax seems to be of Ajax form, though I don't understand what is happening under the hood (especially with lines like results[0].geometry.location). I am able to modify the body of if (status == google.maps.GeocoderStatus.OK) for different purposes though. So, being that I am able to take various code from the Developer's Guide and rework it to an extent for my own purposes, all the while not fully understanding what Google Maps is actually doing, does this make me a copy-paste programmer? Is this a bad practice, or is this professionally viable? I am, of course, interested in learning as much as I can, but what if time-constraints outweigh the learning process?

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  • Fast Data - Big Data's achilles heel

    - by thegreeneman
    At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

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