Search Results

Search found 74473 results on 2979 pages for 'data table'.

Page 46/2979 | < Previous Page | 42 43 44 45 46 47 48 49 50 51 52 53  | Next Page >

• Refreshing imported MySQL data with MySQL for Excel

  - by Javier Rivera

  Welcome to another blog post from the MySQL for Excel Team. Today we're going to talk about a new feature included since MySQL for Excel 1.3.0, you can install the latest GA or maintenance version using the MySQL Installer or optionally you can download directly any GA or non-GA version from the MySQL Developer Zone.As some users suggested in our forums we should be maintaining the link between tables and Excel not only when editing data through the Edit MySQL Data option, but also when importing data via Import MySQL Data. Before 1.3.0 this process only provided you with an offline copy of the Table's data into Excel and you had no way to refresh that information from the DB later on. Now, with this new feature we'll show you how easy is to work with the latest available information at all times. This feature is transparent to you (it doesn't require additional steps to work as long as the users had the Create an Excel Table for the imported MySQL table data option enabled. To ensure you have this option checked, click over Advanced Options... after the Import Data dialog is displayed). The current blog post assumes you already know how to import data into excel, you could always take a look at our previous post How To - Guide to Importing Data from a MySQL Database to Excel using MySQL for Excel if you need further reference on that topic. After importing Data from a MySQL Table into Excel, you can refresh the data in 3 ways.1. Simply right click over the range of the imported data, to show the pop-up menu: Click over the Refresh button to obtain the latest copy of the data in the table. 2. Click the Refresh button on the Data ribbon: 3. Click the Refresh All button in the Data ribbon (beware this will refresh all Excel tables in the Workbook): Please take a note of a couple of details here, the first one is about the size of the table. If by the time you refresh the table new columns had been added to it, and you originally have imported all columns, the table will grow to the right. The same applies to rows, if the table has new rows and you did not limit the results , the table will grow to to the bottom of the sheet in Excel. The second detail you should take into account is this operation will overwrite any changes done to the cells after the table was originally imported or previously refreshed: Now with this new feature, imported data remains linked to the data source and is available to be updated at all times. It empowers the user to always be able to work with the latest version of the imported MySQL data. We hope you like this this new feature and give it a try! Remember that your feedback is very important for us, so drop us a message with your comments, suggestions for this or other features and follow us at our social media channels: MySQL on Windows (this) Blog: https://blogs.oracle.com/MySqlOnWindows/ MySQL for Excel forum: http://forums.mysql.com/list.php?172 Facebook: http://www.facebook.com/mysql YouTube channel: https://www.youtube.com/user/MySQLChannel Thanks!

  Read the article

• JDeveloper 11.1.2 : Command Link in Table Column Work Around

  - by Frank Nimphius

  Just figured that in Oracle JDeveloper 11.1.2, clicking on a command link in a table does not mark the table row as selected as it is the behavior in previous releases of Oracle JDeveloper. For the time being, the following work around can be used to achieve the "old" behavior: To mark the table row as selected, you need to build and queue the table selection event in the code executed by the command link action listener. To queue a selection event, you need to know about the rowKey of the row that the command link that you clicked on is located in. To get to this information, you add an f:attribute tag to the command link as shown below <af:column sortProperty="#{bindings.DepartmentsView1.hints.DepartmentId.name}" sortable="false"    headerText="#{bindings.DepartmentsView1.hints.DepartmentId.label}" id="c1">   <af:commandLink text="#{row.DepartmentId}" id="cl1" partialSubmit="true"       actionListener="#{BrowseBean.onCommandItemSelected}">     <f:attribute name="rowKey" value="#{row.rowKey}"/>   </af:commandLink>   ... </af:column> The f:attribute tag references #{row.rowKey} wich in ADF translates to JUCtrlHierNodeBinding.getRowKey(). This information can be used in the command link action listener to compose the RowKeySet you need to queue the selected row. For simplicitly reasons, I created a table "binding" reference to the managed bean that executes the command link action. The managed bean code that is referenced from the af:commandLink actionListener property is shown next: public void onCommandItemSelected(ActionEvent actionEvent) {   //get access to the clicked command link   RichCommandLink comp = (RichCommandLink)actionEvent.getComponent();   //read the added f:attribute value   Key rowKey = (Key) comp.getAttributes().get("rowKey");     //get the current selected RowKeySet from the table   RowKeySet oldSelection = table.getSelectedRowKeys();   //build an empty RowKeySet for the new selection   RowKeySetImpl newSelection = new RowKeySetImpl();     //RowKeySets contain List objects with key objects in them   ArrayList list = new ArrayList();   list.add(rowKey);   newSelection.add(list);     //create the selectionEvent and queue it   SelectionEvent selectionEvent = new SelectionEvent(oldSelection, newSelection, table);   selectionEvent.queue();     //refresh the table   AdfFacesContext.getCurrentInstance().addPartialTarget(table); }

  Read the article

• Import exponetial fixed width format data into Excel

  - by Tom Daniel

  I've received a bunch of text data files consiting of Lots of records (30K/file) of 3 fields each of 5-place numbers in exponential format: s0.nnnnnEsee (where s is +/-, n is a digit and ee is the exponent (always 2 digit). When I open the file in Notepad, the format is perfectly uniform throughout each file, but when I import it to Excel using Data|Import|Fixed Width, many of the data values get messed up, no matter what format (text, exponential, various custom tries) I assign to the cells. Looking at the Notepad version, it appears that leading + signs were replaced with a space in the data file, but the sign of the exponential is always there. This means that some fields begin with a space, and this appears to confuse the Excel import routine. I get the same result in Excel 2003 and 2007. I'm sure there's a straightforward solution (hopefully without a messy VBA routine), but I can't figure out what to try next. :-) To clarify (hopefully), here are some input records and the corresponding text input to Excel: Notepad Excel -0.11311E+01 0.10431E-04 0.27018E-03 -0.11311E 1.0431E-05 2.7018E-04 0.19608E+00-0.81414E-02-0.89553E-02 0.19608E -8.1414E-03 8.9553E-03 etc. Whoopee! Solved my own problem - in the spirit of Jeopardy, now that I've begun the question, here's the answer - Use a different "File Origin" - several other than the default "Unicode UTF..." work fine! What a pain. Hope this helps somebody else avoid a few unpleasant hours! Aloha from Kona, Tom

  Read the article

• Recover data from quick formatted DVD-R

  - by Andrii Kalytiiuk

  I need to recover data from quick-formatted DVD-R. Please advise a free of charge option (cheap commercial tools will be ok either). Disk was partially recorded with Windows built in disk recorder and recording most likely was not complete. Afterwards I have inserted partially recorded DVD again and on Windows recorder's message box 'How to use this disk?' selected - 'use for CD/DVD player' and data was completely lost - as new recording session was started. Files of photos were recorded on disk. What I have tried so far: DiskInternals CD-DVD recovery - sees 5 jpg files but can't show preview. Tool is commercial - trial version does not allow to recover files. CDCheck - doesn't see any files and reports errors at attempt to scand DVD CD Recovery Toolbox Free - does not even recognize DVD drive ISO Buster - recognizes two files - one MP3 file for 99% of recorded size and one ARC file for about 100 KB MiniTool Power Data Recovery - Free Edition - does not see any files on DVD Stellar Phoenix CD DVD Data Recovery - does not see any files BinaryBiz Virtual Lab - sees DVD disk but needs license to browse content Please advise how is it possible to recover files from DVD.

  Read the article

• What to name column in database table that holds versioning number

  - by rwmnau

  I'm trying to figure out what to call the column in my database table that holds an INT to specific "record version". I'm currently using "RecordOrder", but I don't like that, because people think higher=newer, but the way I'm using it, lower=newer (with "1" being the current record, "2" being the second most current, "3" older still, and so on). I've considered "RecordVersion", but I'm afraid that would have the same problem. Any other suggestions? "RecordAge"? I'm doing this because when I insert into the table, instead of having to find out what version is next, then run the risk of having that number stolen from me before I write, I just insert insert with a "RecordOrder" of 0. There's a trigger on the table AFTER INSERT that increments all the "RecordOrder" numbers for that key by 1, so the record I just inserted becomes "1", and all others are increased by 1. That way, you can get a person's current record by selection RecordOrder=1, instead of getting the MAX(RecordOrder) and then selecting that. PS - I'm also open to criticism about why this is a terrible idea and I should be incrementing this index instead. This just seemed to make lookups much easier, but if it's a bad idea, please enlighten me! Some details about the data, as an example: I have the following database table: CREATE TABLE AmountDue ( CustomerNumber INT, AmountDue DECIMAL(14,2), RecordOrder SMALLINT, RecordCreated DATETIME ) A subset of my data looks like this: CustomerNumber Amountdue RecordOrder RecordCreated 100 0 1 2009-12-19 05:10:10.123 100 10.05 2 2009-12-15 06:12:10.123 100 100.00 3 2009-12-14 14:19:10.123 101 5.00 1 2009-11-14 05:16:10.123 In this example, there are three rows for customer 100 - they owed $100, then $10.05, and now they owe nothing. Let me know if I need to clarify it some more. UPDATE: The "RecordOrder" and "RecordCreated" columns are not available to the user - they're only there for internal use, and to help figure out which is the current customer record. Also, I could use it to return an appropriately-ordered customer history, though I could just as easily do that with the date. I can accomplish the same thing as an incrementing "Record Version" with just the RecordCreated date, I suppose, but that removes the convenience of knowing that RecordOrder=1 is the current record, and I'm back to doing a sub-query with MAX or MIN on the DateTime to determine the most recent record.

  Read the article

• SQL Server script commands to check if object exists and drop it

  - by deadlydog

  Over the past couple years I’ve been keeping track of common SQL Server script commands that I use so I don’t have to constantly Google them.  Most of them are how to check if a SQL object exists before dropping it.  I thought others might find these useful to have them all in one place, so here you go: 1: --=============================== 2: -- Create a new table and add keys and constraints 3: --=============================== 4: IF NOT EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = 'TableName' AND TABLE_SCHEMA='dbo') 5: BEGIN 6: CREATE TABLE [dbo].[TableName] 7: ( 8: [ColumnName1] INT NOT NULL, -- To have a field auto-increment add IDENTITY(1,1) 9: [ColumnName2] INT NULL, 10: [ColumnName3] VARCHAR(30) NOT NULL DEFAULT('') 11: ) 12: 13: -- Add the table's primary key 14: ALTER TABLE [dbo].[TableName] ADD CONSTRAINT [PK_TableName] PRIMARY KEY NONCLUSTERED 15: ( 16: [ColumnName1], 17: [ColumnName2] 18: ) 19: 20: -- Add a foreign key constraint 21: ALTER TABLE [dbo].[TableName] WITH CHECK ADD CONSTRAINT [FK_Name] FOREIGN KEY 22: ( 23: [ColumnName1], 24: [ColumnName2] 25: ) 26: REFERENCES [dbo].[Table2Name] 27: ( 28: [OtherColumnName1], 29: [OtherColumnName2] 30: ) 31: 32: -- Add indexes on columns that are often used for retrieval 33: CREATE INDEX IN_ColumnNames ON [dbo].[TableName] 34: ( 35: [ColumnName2], 36: [ColumnName3] 37: ) 38: 39: -- Add a check constraint 40: ALTER TABLE [dbo].[TableName] WITH CHECK ADD CONSTRAINT [CH_Name] CHECK (([ColumnName] >= 0.0000)) 41: END 42: 43: --=============================== 44: -- Add a new column to an existing table 45: --=============================== 46: IF NOT EXISTS (SELECT * FROM INFORMATION_SCHEMA.COLUMNS where TABLE_SCHEMA='dbo' 47: AND TABLE_NAME = 'TableName' AND COLUMN_NAME = 'ColumnName') 48: BEGIN 49: ALTER TABLE [dbo].[TableName] ADD [ColumnName] INT NOT NULL DEFAULT(0) 50: 51: -- Add a description extended property to the column to specify what its purpose is. 52: EXEC sys.sp_addextendedproperty @name=N'MS_Description', 53: @value = N'Add column comments here, describing what this column is for.' , 54: @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE', 55: @level1name = N'TableName', @level2type=N'COLUMN', 56: @level2name = N'ColumnName' 57: END 58: 59: --=============================== 60: -- Drop a table 61: --=============================== 62: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = 'TableName' AND TABLE_SCHEMA='dbo') 63: BEGIN 64: DROP TABLE [dbo].[TableName] 65: END 66: 67: --=============================== 68: -- Drop a view 69: --=============================== 70: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.VIEWS WHERE TABLE_NAME = 'ViewName' AND TABLE_SCHEMA='dbo') 71: BEGIN 72: DROP VIEW [dbo].[ViewName] 73: END 74: 75: --=============================== 76: -- Drop a column 77: --=============================== 78: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.COLUMNS where TABLE_SCHEMA='dbo' 79: AND TABLE_NAME = 'TableName' AND COLUMN_NAME = 'ColumnName') 80: BEGIN 81: 82: -- If the column has an extended property, drop it first. 83: IF EXISTS (SELECT * FROM sys.fn_listExtendedProperty(N'MS_Description', N'SCHEMA', N'dbo', N'Table', 84: N'TableName', N'COLUMN', N'ColumnName') 85: BEGIN 86: EXEC sys.sp_dropextendedproperty @name=N'MS_Description', 87: @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE', 88: @level1name = N'TableName', @level2type=N'COLUMN', 89: @level2name = N'ColumnName' 90: END 91: 92: ALTER TABLE [dbo].[TableName] DROP COLUMN [ColumnName] 93: END 94: 95: --=============================== 96: -- Drop Primary key constraint 97: --=============================== 98: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='PRIMARY KEY' AND TABLE_SCHEMA='dbo' 99: AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = 'PK_Name') 100: BEGIN 101: ALTER TABLE [dbo].[TableName] DROP CONSTRAINT [PK_Name] 102: END 103: 104: --=============================== 105: -- Drop Foreign key constraint 106: --=============================== 107: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='FOREIGN KEY' AND TABLE_SCHEMA='dbo' 108: AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = 'FK_Name') 109: BEGIN 110: ALTER TABLE [dbo].[TableName] DROP CONSTRAINT [FK_Name] 111: END 112: 113: --=============================== 114: -- Drop Unique key constraint 115: --=============================== 116: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='UNIQUE' AND TABLE_SCHEMA='dbo' 117: AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = 'UNI_Name') 118: BEGIN 119: ALTER TABLE [dbo].[TableNames] DROP CONSTRAINT [UNI_Name] 120: END 121: 122: --=============================== 123: -- Drop Check constraint 124: --=============================== 125: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='CHECK' AND TABLE_SCHEMA='dbo' 126: AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = 'CH_Name') 127: BEGIN 128: ALTER TABLE [dbo].[TableName] DROP CONSTRAINT [CH_Name] 129: END 130: 131: --=============================== 132: -- Drop a column's Default value constraint 133: --=============================== 134: DECLARE @ConstraintName VARCHAR(100) 135: SET @ConstraintName = (SELECT TOP 1 s.name FROM sys.sysobjects s JOIN sys.syscolumns c ON s.parent_obj=c.id 136: WHERE s.xtype='d' AND c.cdefault=s.id 137: AND parent_obj = OBJECT_ID('TableName') AND c.name ='ColumnName') 138: 139: IF @ConstraintName IS NOT NULL 140: BEGIN 141: EXEC ('ALTER TABLE [dbo].[TableName] DROP CONSTRAINT ' + @ConstraintName) 142: END 143: 144: --=============================== 145: -- Example of how to drop dynamically named Unique constraint 146: --=============================== 147: DECLARE @ConstraintName VARCHAR(100) 148: SET @ConstraintName = (SELECT TOP 1 CONSTRAINT_NAME FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS 149: WHERE CONSTRAINT_TYPE='UNIQUE' AND TABLE_SCHEMA='dbo' 150: AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME LIKE 'FirstPartOfConstraintName%') 151: 152: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='UNIQUE' AND TABLE_SCHEMA='dbo' 153: AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = @ConstraintName) 154: BEGIN 155: EXEC ('ALTER TABLE [dbo].[TableName] DROP CONSTRAINT ' + @ConstraintName) 156: END 157: 158: --=============================== 159: -- Check for and drop a temp table 160: --=============================== 161: IF OBJECT_ID('tempdb..#TableName') IS NOT NULL DROP TABLE #TableName 162: 163: --=============================== 164: -- Drop a stored procedure 165: --=============================== 166: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_TYPE='PROCEDURE' AND ROUTINE_SCHEMA='dbo' AND 167: ROUTINE_NAME = 'StoredProcedureName') 168: BEGIN 169: DROP PROCEDURE [dbo].[StoredProcedureName] 170: END 171: 172: --=============================== 173: -- Drop a UDF 174: --=============================== 175: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_TYPE='FUNCTION' AND ROUTINE_SCHEMA='dbo' AND 176: ROUTINE_NAME = 'UDFName') 177: BEGIN 178: DROP FUNCTION [dbo].[UDFName] 179: END 180: 181: --=============================== 182: -- Drop an Index 183: --=============================== 184: IF EXISTS (SELECT * FROM SYS.INDEXES WHERE name = 'IndexName') 185: BEGIN 186: DROP INDEX TableName.IndexName 187: END 188: 189: --=============================== 190: -- Drop a Schema 191: --=============================== 192: IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.SCHEMATA WHERE SCHEMA_NAME = 'SchemaName') 193: BEGIN 194: EXEC('DROP SCHEMA SchemaName') 195: END And here’s the same code, just not in the little code view window so that you don’t have to scroll it.--=============================== -- Create a new table and add keys and constraints --=============================== IF NOT EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = 'TableName' AND TABLE_SCHEMA='dbo') BEGIN CREATE TABLE [dbo].[TableName]  ( [ColumnName1] INT NOT NULL, -- To have a field auto-increment add IDENTITY(1,1) [ColumnName2] INT NULL, [ColumnName3] VARCHAR(30) NOT NULL DEFAULT('') ) -- Add the table's primary key ALTER TABLE [dbo].[TableName] ADD CONSTRAINT [PK_TableName] PRIMARY KEY NONCLUSTERED ( [ColumnName1],  [ColumnName2] ) -- Add a foreign key constraint ALTER TABLE [dbo].[TableName] WITH CHECK ADD CONSTRAINT [FK_Name] FOREIGN KEY ( [ColumnName1],  [ColumnName2] ) REFERENCES [dbo].[Table2Name]  ( [OtherColumnName1],  [OtherColumnName2] ) -- Add indexes on columns that are often used for retrieval CREATE INDEX IN_ColumnNames ON [dbo].[TableName] ( [ColumnName2], [ColumnName3] ) -- Add a check constraint ALTER TABLE [dbo].[TableName] WITH CHECK ADD CONSTRAINT [CH_Name] CHECK (([ColumnName] >= 0.0000)) END --=============================== -- Add a new column to an existing table --=============================== IF NOT EXISTS (SELECT * FROM INFORMATION_SCHEMA.COLUMNS where TABLE_SCHEMA='dbo' AND TABLE_NAME = 'TableName' AND COLUMN_NAME = 'ColumnName') BEGIN ALTER TABLE [dbo].[TableName] ADD [ColumnName] INT NOT NULL DEFAULT(0) -- Add a description extended property to the column to specify what its purpose is. EXEC sys.sp_addextendedproperty @name=N'MS_Description',  @value = N'Add column comments here, describing what this column is for.' ,  @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE', @level1name = N'TableName', @level2type=N'COLUMN', @level2name = N'ColumnName' END --=============================== -- Drop a table --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = 'TableName' AND TABLE_SCHEMA='dbo') BEGIN DROP TABLE [dbo].[TableName] END --=============================== -- Drop a view --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.VIEWS WHERE TABLE_NAME = 'ViewName' AND TABLE_SCHEMA='dbo') BEGIN DROP VIEW [dbo].[ViewName] END --=============================== -- Drop a column --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.COLUMNS where TABLE_SCHEMA='dbo' AND TABLE_NAME = 'TableName' AND COLUMN_NAME = 'ColumnName') BEGIN -- If the column has an extended property, drop it first. IF EXISTS (SELECT * FROM sys.fn_listExtendedProperty(N'MS_Description', N'SCHEMA', N'dbo', N'Table', N'TableName', N'COLUMN', N'ColumnName') BEGIN EXEC sys.sp_dropextendedproperty @name=N'MS_Description',  @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE', @level1name = N'TableName', @level2type=N'COLUMN', @level2name = N'ColumnName' END ALTER TABLE [dbo].[TableName] DROP COLUMN [ColumnName] END --=============================== -- Drop Primary key constraint --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='PRIMARY KEY' AND TABLE_SCHEMA='dbo' AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = 'PK_Name') BEGIN ALTER TABLE [dbo].[TableName] DROP CONSTRAINT [PK_Name] END --=============================== -- Drop Foreign key constraint --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='FOREIGN KEY' AND TABLE_SCHEMA='dbo' AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = 'FK_Name') BEGIN ALTER TABLE [dbo].[TableName] DROP CONSTRAINT [FK_Name] END --=============================== -- Drop Unique key constraint --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='UNIQUE' AND TABLE_SCHEMA='dbo' AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = 'UNI_Name') BEGIN ALTER TABLE [dbo].[TableNames] DROP CONSTRAINT [UNI_Name] END --=============================== -- Drop Check constraint --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='CHECK' AND TABLE_SCHEMA='dbo' AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = 'CH_Name') BEGIN ALTER TABLE [dbo].[TableName] DROP CONSTRAINT [CH_Name] END --=============================== -- Drop a column's Default value constraint --=============================== DECLARE @ConstraintName VARCHAR(100) SET @ConstraintName = (SELECT TOP 1 s.name FROM sys.sysobjects s JOIN sys.syscolumns c ON s.parent_obj=c.id WHERE s.xtype='d' AND c.cdefault=s.id  AND parent_obj = OBJECT_ID('TableName') AND c.name ='ColumnName') IF @ConstraintName IS NOT NULL BEGIN EXEC ('ALTER TABLE [dbo].[TableName] DROP CONSTRAINT ' + @ConstraintName) END --=============================== -- Example of how to drop dynamically named Unique constraint --=============================== DECLARE @ConstraintName VARCHAR(100) SET @ConstraintName = (SELECT TOP 1 CONSTRAINT_NAME FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS  WHERE CONSTRAINT_TYPE='UNIQUE' AND TABLE_SCHEMA='dbo' AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME LIKE 'FirstPartOfConstraintName%') IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_TYPE='UNIQUE' AND TABLE_SCHEMA='dbo' AND TABLE_NAME = 'TableName' AND CONSTRAINT_NAME = @ConstraintName) BEGIN EXEC ('ALTER TABLE [dbo].[TableName] DROP CONSTRAINT ' + @ConstraintName) END --=============================== -- Check for and drop a temp table --=============================== IF OBJECT_ID('tempdb..#TableName') IS NOT NULL DROP TABLE #TableName --=============================== -- Drop a stored procedure --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_TYPE='PROCEDURE' AND ROUTINE_SCHEMA='dbo' AND ROUTINE_NAME = 'StoredProcedureName') BEGIN DROP PROCEDURE [dbo].[StoredProcedureName] END --=============================== -- Drop a UDF --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_TYPE='FUNCTION' AND ROUTINE_SCHEMA='dbo' AND  ROUTINE_NAME = 'UDFName') BEGIN DROP FUNCTION [dbo].[UDFName] END --=============================== -- Drop an Index --=============================== IF EXISTS (SELECT * FROM SYS.INDEXES WHERE name = 'IndexName') BEGIN DROP INDEX TableName.IndexName END --=============================== -- Drop a Schema --=============================== IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.SCHEMATA WHERE SCHEMA_NAME = 'SchemaName') BEGIN EXEC('DROP SCHEMA SchemaName') END

  Read the article

• MVC4 Model in View has nested data - cannot get data in model

  - by Taersious

  I have a Model defined that gets me a View with a list of RadioButtons, per IEnumerable. Within that Model, I want to display a list of checkboxes that will vary based on the item selected. Finally, there will be a Textarea in the same view once the user has selected from the available checkboxes, with some dynamic text there based on the CheckBoxes that are selected. What we should end up with is a Table-per-hierarchy. The layout is such that the RadioButtonList is in the first table cell, the CheckBoxList is in the middle table cell, and the Textarea is ini the right table cell. If anyone can guide me to what my model-view should be to achieve this result, I'll be most pleased... Here are my codes: // // View Model for implementing radio button list public class RadioButtonViewModel { // objects public List<RadioButtonItem> RadioButtonList { get; set; } public string SelectedRadioButton { get; set; } } // // Object for handling each radio button public class RadioButtonItem { // this object public string Name { get; set; } public bool Selected { get; set; } public int ObjectId { get; set; } // columns public virtual IEnumerable<CheckBoxItem> CheckBoxItems { get; set; } } // // Object for handling each checkbox public class CheckBoxViewModel { public List<CheckBoxItem> CheckBoxList { get; set; } } // // Object for handling each check box public class CheckBoxItem { public string Name { get; set; } public bool Selected { get; set; } public int ObjectId { get; set; } public virtual RadioButtonItem RadioButtonItem { get; set; } } and the view @model IEnumerable<EF_Utility.Models.RadioButtonItem> @{ ViewBag.Title = "Connect"; ViewBag.Selected = Request["name"] != null ? Request["name"].ToString() : ""; } @using (Html.BeginForm("Objects" , "Home", FormMethod.Post) ){ @Html.ValidationSummary(true) <table> <tbody> <tr> <td style="border: 1px solid grey; vertical-align:top;"> <table> <tbody> <tr> <th style="text-align:left; width: 50px;">Select</th> <th style="text-align:left;">View or Table Name</th> </tr> @{ foreach (EF_Utility.Models.RadioButtonItem item in @Model ) { <tr> <td> @Html.RadioButton("RadioButtonViewModel.SelectedRadioButton", item.Name, ViewBag.Selected == item.Name ? true : item.Selected, new { @onclick = "this.form.action='/Home/Connect?name=" + item.Name + "'; this.form.submit(); " }) </td> <td> @Html.DisplayFor(i => item.Name) </td> </tr> } } </tbody> </table> </td> <td style="border: 1px solid grey; width: 220px; vertical-align:top; @(ViewBag.Selected == "" ? "display:none;" : "")"> <table> <tbody> <tr> <th>Column </th> </tr> <tr> <td><!-- checkboxes will go here --> </td> </tr> </tbody> </table> </td> <td style="border: 1px solid grey; vertical-align:top; @(ViewBag.Selected == "" ? "display:none;" : "")"> <textarea name="output" id="output" rows="24" cols="48"></textarea> </td> </tr> </tbody> </table> } and the relevant controller public ActionResult Connect() { /* TEST SESSION FIRST*/ if( Session["connstr"] == null) return RedirectToAction("Index"); else { ViewBag.Message = ""; ViewBag.ConnectionString = Server.UrlDecode( Session["connstr"].ToString() ); ViewBag.Server = ParseConnectionString( ViewBag.ConnectionString, "Data Source" ); ViewBag.Database = ParseConnectionString( ViewBag.ConnectionString, "Initial Catalog" ); using( var db = new SysDbContext(ViewBag.ConnectionString)) { var objects = db.Set<SqlObject>().ToArray(); var model = objects .Select( o => new RadioButtonItem { Name = o.Name, Selected = false, ObjectId = o.Object_Id, CheckBoxItems = Enumerable.Empty<EF_Utility.Models.CheckBoxItem>() } ) .OrderBy( rb => rb.Name ); return View( model ); } } } What I am missing it seems, is the code in my Connect() method that will bring the data context forward; at that point, it should be fairly straight-forward to set up the Html for the View. EDIT ** So I am going to need to bind the RadioButtonItem to the view with something like the following, except my CheckBoxList will NOT be an empty set. // // POST: /Home/Connect/ [HttpPost] public ActionResult Connect( RadioButtonItem rbl ) { /* TEST SESSION FIRST*/ if ( Session["connstr"] == null ) return RedirectToAction( "Index" ); else { ViewBag.Message = ""; ViewBag.ConnectionString = Server.UrlDecode( Session["connstr"].ToString() ); ViewBag.Server = ParseConnectionString( ViewBag.ConnectionString, "Data Source" ); ViewBag.Database = ParseConnectionString( ViewBag.ConnectionString, "Initial Catalog" ); using ( var db = new SysDbContext( ViewBag.ConnectionString ) ) { var objects = db.Set<SqlObject>().ToArray(); var model = objects .Select( o => new RadioButtonItem { Name = o.Name, Selected = false, ObjectId = o.Object_Id, CheckBoxItems = Enumerable.Empty<EF_Utility.Models.CheckBoxItem>() } ) .OrderBy( rb => rb.Name ); return View( model ); } } }

  Read the article

• LinqPad with Azure Table Storage

  - by Sarang

  LinqPad as we all know has been a wonderful tool for running ad-hoc queries. With Windows Azure Table storage in picture LinqPad was no longer in picture and we shifted focus to Cloud Storage Studio only to realize the limited and strange querying capabilities of CSS. With some tweaking to Linqpad we can get the comfortable old shoe of ad-hoc queries with LinqPad in the Windows Azure Table storage. Steps: 1. Start LinqPad 2. Right Click in the query window and select “Query Properties” 3. In The Additional References add reference to Microsoft.WindowsAzure.StorageClient, System.Data.Services.Client.dll and the assembly containing the implementation of the DataServiceContext class tied to the Windows Azure table storage. 4. In the additional namespace imports import the same three namespaces mentioned above. 5. Then we need to provide following details. a. Table storage account name and shared key. b. DataServiceContext implementing class in your code. c. A LINQ query. e.x.         var storageAccountName = "myStorageAccount";  // Enter valid storage account name         var storageSharedKey = "mysharedKey"; // Enter valid storage account shared key         var uri = new System.Uri("http://table.core.windows.net/");         var storageAccountInfo = new CloudStorageAccount(new StorageCredentialsAccountKey(storageAccountName, storageSharedKey), false);         var serviceContext = new TweetPollDataServiceContext(storageAccountInfo); // Specify the DataServiceContext implementation         // The query         var query = from row in serviceContext.Table                     select row;         query.Dump(); Thanks LinqPad! Technorati Tags: LinqPad,Azure Table Storage,Linq

  Read the article

• BizTalk 2009 - The Scope of the Table Looping Functoid

  - by StuartBrierley

  When mapping in BizTalk you will find there are times when you need to map from flat and dispersed elemements in your source schema to a repeated record with child elements in your destination schema.  Below is an example of how you can make use of the Table Looping Functoid to bring together these flat elements and create your repeated group.  Although this example is purposely simple, I have previsouly encounted this issue on a much more complex scale when mapping the response from a credit scoring agency where all the applicant details were supplied in separate parts of a very flat schema. Consider the source and destination schemas as follows:   Although the Table Looping Functoid states that the first input must be a scoping element linked from a repeating group, you can actually also make use of a constant value.  In this case I know that the source schema always contains two people, so I set this to two. Then you need to set the number of columns in your table, in this case 2 (name and sex) and link all the required fields from the source schema. Following this you can configure the table. You can then add the Table Extractor functoids and complete the map. If you now validate this map you will see that BizTalk will warn you about the scoping link for the Table Looping Functoid, but this can be safely ignored. C:\Code\Developer Folders\Stuart Brierley\Test Mapping\TableLooping.btm: warning btm1071: A first input of the Table-Looping functoid must be a link from a Source Tree Node which acts as the scoping parameter. Testing the map will produce the following output:

  Read the article

• Extract wrong data from a frame in C?

  - by ipkiss

  I am writing a program that reads the data from the serial port on Linux. The data are sent by another device with the following frame format: |start | Command | Data | CRC | End | |0x02 | 0x41 | (0-127 octets) | | 0x03| ---------------------------------------------------- The Data field contains 127 octets as shown and octet 1,2 contains one type of data; octet 3,4 contains another data. I need to get these data. Because in C, one byte can only holds one character and in the start field of the frame, it is 0x02 which means STX which is 3 characters. So, in order to test my program, On the sender side, I construct an array as the frame formatted above like: char frame[254]; frame[0] = 0x02; // starting field frame[1] = 0x41; // command field which is character 'A' ..so on.. And, then On the receiver side, I take out the fields like: char result[254]; // read data read(result); printf("command = %c", result[1]); // get the command field of the frame // get other field's values the command field value (result[1]) is not character 'A'. I think, this because the first field value of the frame is 0x02 (STX) occupying 3 first places in the array frame and leading to the wrong results on the receiver side. How can I correct the issue or am I doing something wrong at the sender side? Thanks all. related questions: http://stackoverflow.com/questions/2500567/parse-and-read-data-frame-in-c http://stackoverflow.com/questions/2531779/clear-data-at-serial-port-in-linux-in-c

  Read the article

• How to create breadcrumbs using Dynamic Data/LINQTOSQL framework?

  - by Chicago

  Hello, I need some EXAMPLES or IDEAS on how to created dynamic breadcrumb control which will dynamically generated breadcrumbs for Dynamic Date framework powered by LINQTOSQL

  Read the article

• SQL database problems with addressbook table design

  - by Sebastian Hoitz

  Hello! I am writing a addressbook module for my software right now. I have the database set up so far that it supports a very flexible address-book configuration. I can create n-entries for every type I want. Type means here data like 'email', 'address', 'telephone' etc. I have a table named 'contact_profiles'. This only has two columns: id Primary key date_created DATETIME And then there is a table called contact_attributes. This one is a little more complex: id PK #profile (Foreign key to contact_profiles.id) type VARCHAR describing the type of the entry (name, email, phone, fax, website, ...) I should probably change this to a SET later. value Text (containing the value for the attribute). I can now link to these profiles, for example from my user's table. But from here I run into problems. At the moment I would have to create a JOIN for each value that I want to retrieve. Is there a possibility to somehow create a View, that gives me a result with the type's as columns? So right now I would get something like #profile type value 1 email [email protected] 1 name Sebastian Hoitz 1 website domain.tld But it would be nice to get a result like this: #profile email name website 1 [email protected] Sebastian Hoitz domain.tld The reason I do not want to create the table layout like this initially is, that there might always be things to add and I want to be able to have multiple attributes of the same type. So do you know if there is any possibility to convert this dynamically? If you need a better description please let me know. Thank you!

  Read the article

• EF4 generates invalid script

  - by Jaxidian

  When I right-click in a .EDMX file and click Generate Database From Model, the resulting script is obviously wrong because of the table names. What it generates is the following script. Note the table names in the DROP TABLE part versus the CREATE TABLE part. Why is this inconsistent? This is obviously not a reusable script. What I created was an Entity named "Address" and an Entity named "Company", etc (all singular). The EntitySet names are pluralized. The "Pluralize New Objects" boolean does not change this either. So what's the deal? For what it's worth, I originally generated the EDMX by pointing it to a database that had tables with non-pluralized names and now that I've made some changes, I want to go back the other way. I'd like to have the option to go back and forth as neither the db-first nor the model-first model is ideal in all scenarios, and I have the control to ensure that there will be no merging issues from multiple people going both ways at the same time. -- -------------------------------------------------- -- Dropping existing FOREIGN KEY constraints -- NOTE: if the constraint does not exist, an ignorable error will be reported. -- -------------------------------------------------- ALTER TABLE [Address] DROP CONSTRAINT [FK_Address_StateID-State_ID]; GO ALTER TABLE [Company] DROP CONSTRAINT [FK_Company_AddressID-Address_ID]; GO ALTER TABLE [Employee] DROP CONSTRAINT [FK_Employee_BossEmployeeID-Employee_ID]; GO ALTER TABLE [Employee] DROP CONSTRAINT [FK_Employee_CompanyID-Company_ID]; GO ALTER TABLE [Employee] DROP CONSTRAINT [FK_Employee_PersonID-Person_ID]; GO ALTER TABLE [Person] DROP CONSTRAINT [FK_Person_AddressID-Address_ID]; GO -- -------------------------------------------------- -- Dropping existing tables -- NOTE: if the table does not exist, an ignorable error will be reported. -- -------------------------------------------------- DROP TABLE [Address]; GO DROP TABLE [Company]; GO DROP TABLE [Employee]; GO DROP TABLE [Person]; GO DROP TABLE [State]; GO -- -------------------------------------------------- -- Creating all tables -- -------------------------------------------------- -- Creating table 'Addresses' CREATE TABLE [Addresses] ( [ID] int IDENTITY(1,1) NOT NULL, [StreetAddress] nvarchar(100) NOT NULL, [City] nvarchar(100) NOT NULL, [StateID] int NOT NULL, [Zip] nvarchar(10) NOT NULL ); GO -- Creating table 'Companies' CREATE TABLE [Companies] ( [ID] int IDENTITY(1,1) NOT NULL, [Name] nvarchar(100) NOT NULL, [AddressID] int NOT NULL ); GO -- Creating table 'People' CREATE TABLE [People] ( [ID] int IDENTITY(1,1) NOT NULL, [FirstName] nvarchar(100) NOT NULL, [LastName] nvarchar(100) NOT NULL, [AddressID] int NOT NULL ); GO -- Creating table 'States' CREATE TABLE [States] ( [ID] int IDENTITY(1,1) NOT NULL, [Name] nvarchar(100) NOT NULL, [Abbreviation] nvarchar(2) NOT NULL ); GO -- Creating table 'Employees' CREATE TABLE [Employees] ( [ID] int IDENTITY(1,1) NOT NULL, [PersonID] int NOT NULL, [CompanyID] int NOT NULL, [Position] nvarchar(100) NOT NULL, [BossEmployeeID] int NULL ); GO -- -------------------------------------------------- -- Creating all PRIMARY KEY constraints -- -------------------------------------------------- -- Creating primary key on [ID] in table 'Addresses' ALTER TABLE [Addresses] ADD CONSTRAINT [PK_Addresses] PRIMARY KEY ([ID] ); GO -- Creating primary key on [ID] in table 'Companies' ALTER TABLE [Companies] ADD CONSTRAINT [PK_Companies] PRIMARY KEY ([ID] ); GO -- Creating primary key on [ID] in table 'People' ALTER TABLE [People] ADD CONSTRAINT [PK_People] PRIMARY KEY ([ID] ); GO -- Creating primary key on [ID] in table 'States' ALTER TABLE [States] ADD CONSTRAINT [PK_States] PRIMARY KEY ([ID] ); GO -- Creating primary key on [ID] in table 'Employees' ALTER TABLE [Employees] ADD CONSTRAINT [PK_Employees] PRIMARY KEY ([ID] ); GO -- -------------------------------------------------- -- Creating all FOREIGN KEY constraints -- -------------------------------------------------- -- Creating foreign key on [StateID] in table 'Addresses' ALTER TABLE [Addresses] ADD CONSTRAINT [FK_Address_StateID_State_ID] FOREIGN KEY ([StateID]) REFERENCES [States] ([ID]) ON DELETE NO ACTION ON UPDATE NO ACTION; -- Creating non-clustered index for FOREIGN KEY 'FK_Address_StateID_State_ID' CREATE INDEX [IX_FK_Address_StateID_State_ID] ON [Addresses] ([StateID]); GO -- Creating foreign key on [AddressID] in table 'Companies' ALTER TABLE [Companies] ADD CONSTRAINT [FK_Company_AddressID_Address_ID] FOREIGN KEY ([AddressID]) REFERENCES [Addresses] ([ID]) ON DELETE NO ACTION ON UPDATE NO ACTION; -- Creating non-clustered index for FOREIGN KEY 'FK_Company_AddressID_Address_ID' CREATE INDEX [IX_FK_Company_AddressID_Address_ID] ON [Companies] ([AddressID]); GO -- Creating foreign key on [AddressID] in table 'People' ALTER TABLE [People] ADD CONSTRAINT [FK_Person_AddressID_Address_ID] FOREIGN KEY ([AddressID]) REFERENCES [Addresses] ([ID]) ON DELETE NO ACTION ON UPDATE NO ACTION; -- Creating non-clustered index for FOREIGN KEY 'FK_Person_AddressID_Address_ID' CREATE INDEX [IX_FK_Person_AddressID_Address_ID] ON [People] ([AddressID]); GO -- Creating foreign key on [CompanyID] in table 'Employees' ALTER TABLE [Employees] ADD CONSTRAINT [FK_Employee_CompanyID_Company_ID] FOREIGN KEY ([CompanyID]) REFERENCES [Companies] ([ID]) ON DELETE NO ACTION ON UPDATE NO ACTION; -- Creating non-clustered index for FOREIGN KEY 'FK_Employee_CompanyID_Company_ID' CREATE INDEX [IX_FK_Employee_CompanyID_Company_ID] ON [Employees] ([CompanyID]); GO -- Creating foreign key on [BossEmployeeID] in table 'Employees' ALTER TABLE [Employees] ADD CONSTRAINT [FK_Employee_BossEmployeeID_Employee_ID] FOREIGN KEY ([BossEmployeeID]) REFERENCES [Employees] ([ID]) ON DELETE NO ACTION ON UPDATE NO ACTION; -- Creating non-clustered index for FOREIGN KEY 'FK_Employee_BossEmployeeID_Employee_ID' CREATE INDEX [IX_FK_Employee_BossEmployeeID_Employee_ID] ON [Employees] ([BossEmployeeID]); GO -- Creating foreign key on [PersonID] in table 'Employees' ALTER TABLE [Employees] ADD CONSTRAINT [FK_Employee_PersonID_Person_ID] FOREIGN KEY ([PersonID]) REFERENCES [People] ([ID]) ON DELETE NO ACTION ON UPDATE NO ACTION; -- Creating non-clustered index for FOREIGN KEY 'FK_Employee_PersonID_Person_ID' CREATE INDEX [IX_FK_Employee_PersonID_Person_ID] ON [Employees] ([PersonID]); GO -- -------------------------------------------------- -- Script has ended -- --------------------------------------------------

  Read the article

• Oracle Data Integrator at Oracle OpenWorld 2012: Demonstrations

  - by Irem Radzik

  By Mike Eisterer Oracle OpenWorld is just a few days away and  we look forward to showing Oracle Data Integrator' comprehensive data integration platform, which delivers critical data integration requirements: from high-volume, high-performance batch loads, to event-driven, trickle-feed integration processes, to SOA-enabled data services.  Several Oracle Data Integrator demonstrations will be available October 1st through the3rd : Oracle Data Integrator and Oracle GoldenGate for Oracle Applications, in Moscone South, Right - S-240 Oracle Data Integrator and Service Integration, in Moscone South, Right - S-235 Oracle Data Integrator for Big Data, in Moscone South, Right - S-236 Oracle Data Integrator for Enterprise Data Warehousing, in Moscone South, Right - S-238 Additional information about OOW 2012 may be found for the following demonstrations. If you are not able to attend OpenWorld, please check out our latest resources for Data Integration.  

  Read the article

• Fraud Detection with the SQL Server Suite Part 1

  - by Dejan Sarka

  While working on different fraud detection projects, I developed my own approach to the solution for this problem. In my PASS Summit 2013 session I am introducing this approach. I also wrote a whitepaper on the same topic, which was generously reviewed by my friend Matija Lah. In order to spread this knowledge faster, I am starting a series of blog posts which will at the end make the whole whitepaper. Abstract With the massive usage of credit cards and web applications for banking and payment processing, the number of fraudulent transactions is growing rapidly and on a global scale. Several fraud detection algorithms are available within a variety of different products. In this paper, we focus on using the Microsoft SQL Server suite for this purpose. In addition, we will explain our original approach to solving the problem by introducing a continuous learning procedure. Our preferred type of service is mentoring; it allows us to perform the work and consulting together with transferring the knowledge onto the customer, thus making it possible for a customer to continue to learn independently. This paper is based on practical experience with different projects covering online banking and credit card usage. Introduction A fraud is a criminal or deceptive activity with the intention of achieving financial or some other gain. Fraud can appear in multiple business areas. You can find a detailed overview of the business domains where fraud can take place in Sahin Y., & Duman E. (2011), Detecting Credit Card Fraud by Decision Trees and Support Vector Machines, Proceedings of the International MultiConference of Engineers and Computer Scientists 2011 Vol 1. Hong Kong: IMECS. Dealing with frauds includes fraud prevention and fraud detection. Fraud prevention is a proactive mechanism, which tries to disable frauds by using previous knowledge. Fraud detection is a reactive mechanism with the goal of detecting suspicious behavior when a fraudster surpasses the fraud prevention mechanism. A fraud detection mechanism checks every transaction and assigns a weight in terms of probability between 0 and 1 that represents a score for evaluating whether a transaction is fraudulent or not. A fraud detection mechanism cannot detect frauds with a probability of 100%; therefore, manual transaction checking must also be available. With fraud detection, this manual part can focus on the most suspicious transactions. This way, an unchanged number of supervisors can detect significantly more frauds than could be achieved with traditional methods of selecting which transactions to check, for example with random sampling. There are two principal data mining techniques available both in general data mining as well as in specific fraud detection techniques: supervised or directed and unsupervised or undirected. Supervised techniques or data mining models use previous knowledge. Typically, existing transactions are marked with a flag denoting whether a particular transaction is fraudulent or not. Customers at some point in time do report frauds, and the transactional system should be capable of accepting such a flag. Supervised data mining algorithms try to explain the value of this flag by using different input variables. When the patterns and rules that lead to frauds are learned through the model training process, they can be used for prediction of the fraud flag on new incoming transactions. Unsupervised techniques analyze data without prior knowledge, without the fraud flag; they try to find transactions which do not resemble other transactions, i.e. outliers. In both cases, there should be more frauds in the data set selected for checking by using the data mining knowledge compared to selecting the data set with simpler methods; this is known as the lift of a model. Typically, we compare the lift with random sampling. The supervised methods typically give a much better lift than the unsupervised ones. However, we must use the unsupervised ones when we do not have any previous knowledge. Furthermore, unsupervised methods are useful for controlling whether the supervised models are still efficient. Accuracy of the predictions drops over time. Patterns of credit card usage, for example, change over time. In addition, fraudsters continuously learn as well. Therefore, it is important to check the efficiency of the predictive models with the undirected ones. When the difference between the lift of the supervised models and the lift of the unsupervised models drops, it is time to refine the supervised models. However, the unsupervised models can become obsolete as well. It is also important to measure the overall efficiency of both, supervised and unsupervised models, over time. We can compare the number of predicted frauds with the total number of frauds that include predicted and reported occurrences. For measuring behavior across time, specific analytical databases called data warehouses (DW) and on-line analytical processing (OLAP) systems can be employed. By controlling the supervised models with unsupervised ones and by using an OLAP system or DW reports to control both, a continuous learning infrastructure can be established. There are many difficulties in developing a fraud detection system. As has already been mentioned, fraudsters continuously learn, and the patterns change. The exchange of experiences and ideas can be very limited due to privacy concerns. In addition, both data sets and results might be censored, as the companies generally do not want to publically expose actual fraudulent behaviors. Therefore it can be quite difficult if not impossible to cross-evaluate the models using data from different companies and different business areas. This fact stresses the importance of continuous learning even more. Finally, the number of frauds in the total number of transactions is small, typically much less than 1% of transactions is fraudulent. Some predictive data mining algorithms do not give good results when the target state is represented with a very low frequency. Data preparation techniques like oversampling and undersampling can help overcome the shortcomings of many algorithms. SQL Server suite includes all of the software required to create, deploy any maintain a fraud detection infrastructure. The Database Engine is the relational database management system (RDBMS), which supports all activity needed for data preparation and for data warehouses. SQL Server Analysis Services (SSAS) supports OLAP and data mining (in version 2012, you need to install SSAS in multidimensional and data mining mode; this was the only mode in previous versions of SSAS, while SSAS 2012 also supports the tabular mode, which does not include data mining). Additional products from the suite can be useful as well. SQL Server Integration Services (SSIS) is a tool for developing extract transform–load (ETL) applications. SSIS is typically used for loading a DW, and in addition, it can use SSAS data mining models for building intelligent data flows. SQL Server Reporting Services (SSRS) is useful for presenting the results in a variety of reports. Data Quality Services (DQS) mitigate the occasional data cleansing process by maintaining a knowledge base. Master Data Services is an application that helps companies maintaining a central, authoritative source of their master data, i.e. the most important data to any organization. For an overview of the SQL Server business intelligence (BI) part of the suite that includes Database Engine, SSAS and SSRS, please refer to Veerman E., Lachev T., & Sarka D. (2009). MCTS Self-Paced Training Kit (Exam 70-448): Microsoft® SQL Server® 2008 Business Intelligence Development and Maintenance. MS Press. For an overview of the enterprise information management (EIM) part that includes SSIS, DQS and MDS, please refer to Sarka D., Lah M., & Jerkic G. (2012). Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft® SQL Server® 2012. O'Reilly. For details about SSAS data mining, please refer to MacLennan J., Tang Z., & Crivat B. (2009). Data Mining with Microsoft SQL Server 2008. Wiley. SQL Server Data Mining Add-ins for Office, a free download for Office versions 2007, 2010 and 2013, bring the power of data mining to Excel, enabling advanced analytics in Excel. Together with PowerPivot for Excel, which is also freely downloadable and can be used in Excel 2010, is already included in Excel 2013. It brings OLAP functionalities directly into Excel, making it possible for an advanced analyst to build a complete learning infrastructure using a familiar tool. This way, many more people, including employees in subsidiaries, can contribute to the learning process by examining local transactions and quickly identifying new patterns.

  Read the article

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

  - by Earlz

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

  Read the article

• Understanding Data Science: Recent Studies

  - by Joe Lamantia

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

  Read the article

• IOMEGA 500GB hard disk data reccovery

  - by Vineeth

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

  Read the article

• correct way to create a pivot table in postgresql using CASE WHEN

  - by mojones

  I am trying to create a pivot table type view in postgresql and am nearly there! Here is the basic query: select acc2tax_node.acc, tax_node.name, tax_node.rank from tax_node, acc2tax_node where tax_node.taxid=acc2tax_node.taxid and acc2tax_node.acc='AJ012531'; And the data: acc | name | rank ----------+-------------------------+-------------- AJ012531 | Paromalostomum fusculum | species AJ012531 | Paromalostomum | genus AJ012531 | Macrostomidae | family AJ012531 | Macrostomida | order AJ012531 | Macrostomorpha | no rank AJ012531 | Turbellaria | class AJ012531 | Platyhelminthes | phylum AJ012531 | Acoelomata | no rank AJ012531 | Bilateria | no rank AJ012531 | Eumetazoa | no rank AJ012531 | Metazoa | kingdom AJ012531 | Fungi/Metazoa group | no rank AJ012531 | Eukaryota | superkingdom AJ012531 | cellular organisms | no rank What I am trying to get is the following: acc | species | phylum AJ012531 | Paromalostomum fusculum | Platyhelminthes I am trying to do this with CASE WHEN, so I've got as far as the following: select acc2tax_node.acc, CASE tax_node.rank WHEN 'species' THEN tax_node.name ELSE NULL END as species, CASE tax_node.rank WHEN 'phylum' THEN tax_node.name ELSE NULL END as phylum from tax_node, acc2tax_node where tax_node.taxid=acc2tax_node.taxid and acc2tax_node.acc='AJ012531'; Which gives me the output: acc | species | phylum ----------+-------------------------+----------------- AJ012531 | Paromalostomum fusculum | AJ012531 | | AJ012531 | | AJ012531 | | AJ012531 | | AJ012531 | | AJ012531 | | Platyhelminthes AJ012531 | | AJ012531 | | AJ012531 | | AJ012531 | | AJ012531 | | AJ012531 | | AJ012531 | | Now I know that I have to group by acc at some point, so I try select acc2tax_node.acc, CASE tax_node.rank WHEN 'species' THEN tax_node.name ELSE NULL END as sp, CASE tax_node.rank WHEN 'phylum' THEN tax_node.name ELSE NULL END as ph from tax_node, acc2tax_node where tax_node.taxid=acc2tax_node.taxid and acc2tax_node.acc='AJ012531' group by acc2tax_node.acc; But I get the dreaded ERROR: column "tax_node.rank" must appear in the GROUP BY clause or be used in an aggregate function All the previous examples I've been able to find use something like SUM() around the CASE statements, so I guess that is the aggregate function. I have tried using FIRST(): select acc2tax_node.acc, FIRST(CASE tax_node.rank WHEN 'species' THEN tax_node.name ELSE NULL END) as sp, FIRST(CASE tax_node.rank WHEN 'phylum' THEN tax_node.name ELSE NULL END) as ph from tax_node, acc2tax_node where tax_node.taxid=acc2tax_node.taxid and acc2tax_node.acc='AJ012531' group by acc2tax_node.acc; but get the error: ERROR: function first(character varying) does not exist Can anyone offer any hints?

  Read the article

• how to find a good data center?

  - by drewda

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

  Read the article

• Protecting Consolidated Data on Engineered Systems

  - by Steve Enevold

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

  Read the article

• Appending column to a data frame - R

  - by darkie15

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

  Read the article

• joining table of oracle

  - by Deven

  Hi friends i am having problem in joining two tables in oracle my two tables are shown bellow table1 looks like id        Name      Jan 7001    Deven    22 7002    Clause    55 7004    Monish    11 table2 looks like id        Name      Feb 7001    Deven    12 7002    Clause    15 7003    Nimesh    20 7004    Monish    21 7005    Ritesh    22 i want to combine this two table and want answer like bellow table2 looks like id        Name      Jan    Feb 7001    Deven    22     12 7002    Clause   55     15 7003    Nimesh    -       20 7004    Monish   11     21 7005    Ritesh    -        22

  Read the article

• Table Row Spacing Problem in IE

  - by Brij

  Viewing the code below in IE displays spacing between the rows. I want to join the rows. In Firefox, It is working fine. <table border="0" cellspacing='0' cellpadding='0' width="720" cols="2"> <tr> <td colspan="2"> <a href="index.html"> <img src="images/banner.gif" border="0"> </a> </td> </tr> <tr valign="top"> <td width="130"> <img name="navigate" src="images/navbar.jpg" border="0"> </td> ..... I have also tried style="margin:0; padding:0;" for tr and td but there is no effect in IE. Let me know what to do to remove spacing between rows. Thanks

  Read the article

• using core data with web services

  - by Jayshree

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

  Read the article

< Previous Page | 42 43 44 45 46 47 48 49 50 51 52 53  | Next Page >