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  • Automate Log Parser to Find Your Data Faster

    - by The Official Microsoft IIS Site
    Microsoft’s Log Parser is a really powerful tool for searching log files. With just a few simple SQL commands you can pull more data than you ever imagined out of your logs. It can be used to read web site log files, csv files, and even Windows event logs. Log Parser isn’t intended to compete with stats products such as Webtrends Log Analyzer or SmarterStats by Smartertools.com which I feel is the best on the market. I primarily use Log Parser for troubleshooting problems with a site...(read more)

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  • T-SQL Tuesday #006: LOB Data

    - by Adam Machanic
    Just a quick note for those of you who may not have seen Michael Coles's post (and a reminder for the rest of you): The topic of this month's T-SQL Tuesday is LOB data . Get your posts ready; next Tuesday we go big! Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!...(read more)

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  • Oracle Fusion Applications Data Sheets Are Now Available

    - by David Hope-Ross
    For customers chomping at the bit for more information on Oracle Fusion applications, there is good news. We’ve just published  a complete library of data sheets for Oracle Fusion Applications. Included are SCM applications like Fusion Distributed Order Orchestration, Fusion Inventory Management, and Fusion Product Hub. And customers interested in sourcing and procurement should review documents that address Oracle Fusion Sourcing ,Oracle Fusion Procurement Contracts, Oracle Fusion Purchasing, Oracle Fusion Self Service Procurement, and Oracle Fusion Supplier Portal.

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  • July SQL Server UG Event in Manchester

    I will be speaking at the SQL Server UK User Group event in Manchester on 16.07.2009.  I am going to be talking about data mining again and how it isn’t all statistics and people with PhDs from Oxford.  Come join me and the excellent Chris Testa-O’Neill.  More details and registration can be found here

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  • Oracle as a Data Source

    This article takes a quick look at Oracle database's materialized view and extends the concept of that feature to a case where Oracle is the data source for another relational database management system.

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  • BigQuery - UK dev community, JSON, nested/repeated, improved data loading - Live from London

    BigQuery - UK dev community, JSON, nested/repeated, improved data loading - Live from London Join Michael Manoochehri and Ryan Boyd live from London to discuss Strata London and Best Practices for using BigQuery. They'll also host an open Office Hours. Please add your questions to Google Moderator on developers.google.com From: GoogleDevelopers Views: 87 14 ratings Time: 33:00 More in Science & Technology

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  • Turning Supply Data Into Savings- (Almost) Everything You Need to Know in 12 Minutes

    - by David Hope-Ross
    Strategic sourcing and supplier management analytics are easy. The hard part is getting reliable data that provide an accurate record of suppliers, spend, invoices, expenses, and so on. In this new AppsCast, e-Three’s Amy Joshi provides an extraordinarily cogent explanation of key challenges, technologies, and tactics for improving spend visibility. Take twelve minutes to listen and learn. The techniques that Amy outlines can add millions to your organization’s bottom line.

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  • Using NBuilder to mock up a data driven UI - Part 1

    In this article we will take a look at a fairly new open source project called NBuilder (http://www.nbuilder.org and http://code.google.com/p/nbuilder/) and how it can be used to provide us with fake data out of the gate. NBuilder allows you to quickly stand up generated objects based on standard .net types in an easy fluent manner. And that is just the start!

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  • Displaying performance data per engine subsystem

    - by liortal
    Our game (Android based) traces how long it takes to do the world logic updates, and how long it takes to a render a frame to the device screen. These traces are collected every frame, and displayed at a constant interval (currently every 1 second). I've seen games where on-screen data of various engine subsystems is displayed, with the time they consume (either in text) or as horizontal colored bars. I am wondering how to implement such a feature?

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  • Object detection in bitmap JavaScript canvas

    - by fallenAngel
    I want to detect clicks on canvas elements which are drawn using paths. So far I have stored element paths in a JavaScript data structure and then check the coordinates of hits which match the element's coordinates. Rendering each element path and checking the hits would be inefficient when there are a lot of elements. I believe there must be an algorithm for this kind of coordinate search, can anyone help me with this?

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  • GDD-BR 2010 [0H] OpenID-based single sign-on and OAuth data access

    GDD-BR 2010 [0H] OpenID-based single sign-on and OAuth data access Speaker: Ryan Boyd Track: Chrome and HTML5 Time slot: H[17:20 - 18:05] Room: 0 A discussion of all the auth tangles you've encountered so far -- OpenID, SSO, 2-Legged OAuth, 3-Legged OAuth, and Hybrid OAuth. We'll show you when and where to use them, and explain how they all integrate with Google APIs and other developer products. From: GoogleDevelopers Views: 11 0 ratings Time: 41:24 More in Science & Technology

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  • WebCenter Customer Spotlight: Hitachi Data Systems

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter Watch this Webcast to see a live demo on how HDS creates multilingual content for their 35+ regional websites  Solution SummaryHitachi Data Systems (HDS) provides mid-range and high-end storage systems, software and services. It is a wholly owned subsidiary of Hitachi Ltd. HDS is based in Santa Clara, California, and has over 5,300 employees in more then 100 countries and regions. HDS's main objectives were to provide a consistent message across all their sites, to maintain a tight governance structure across their messages and related content, expand the use of the existing content management systems and implement a centralized translation management system. HDS implemented a global web content management system based on Oracle WebCenter Content and integrated the Lingotek translation management system to manage their multilingual content. The implemented solution provides each Geo with the ability to expand their web offering to meet local market needs, while staying aligned with the Corporate Web Guidelines Company OverviewHitachi Data Systems (HDS) provides mid-range and high-end storage systems, software and services. It is a wholly owned subsidiary of Hitachi Ltd. and part of the Hitachi Information Systems & Telecommunications Division. The company sells through direct and indirect channels in more than 170 countries and regions. Its customers include of 50 percent of the Fortune 100 companies. HDS is based in Santa Clara California and has over 5,300 employees in more than 100 countries and regions. Business ChallengesHDS has over 35 global websites and the lack of global web capabilities led to inconsistency of messaging, slower time to market and failed to address local language needs. There was an extensive operational overhead due to manual and redundant processes. Translation efforts where superficial, inconsistent and wasteful and the lack of translation automation tools discouraged localization.  HDS's main objectives were to provide a consistent message across all their sites, to maintain a tight governance structure across their messages and related content, expand the use of the existing content management systems and implement a centralized translation management system. Solution DeployedHDS implemented a global web content management system based on Oracle WebCenter Content. The solution supports decentralized publishing for their 35+ global sites to address local market needs while ensuring editorial and brand review trough embedded review processes. They integrated the Lingotek translation management system into Oracle WebCenter Content to manage their multilingual content. Business Results Provides each Geo with the ability to expand their web offering to meet local market needs, while staying aligned with the Corporate Web Guidelines Enables end-to-end content lifecycle management across multiple languages Leverage translation memory for reuse and consistency Reduce time to market with central repository of translated content Additional Information HDS Webcast Oracle WebCenter Content Lingotek website

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  • Managing Data Growth in SQL Server

    'Help, my database ate my disk drives!'. Many DBAs spend most of their time dealing with variations of the problem of database processes consuming too much disk space. This happens because of errors such as incorrect configurations for recovery models, data growth for large objects and queries that overtax TempDB resources. Rodney describes, with some feeling, the errors that can lead to this sort of crisis for the working DBA, and their solution.

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  • Configuration Data in a Custom Timer job in Sharepoint 2010 : The Hierarchical Object Store

    - by Gino Abraham
    I was planning for a custom timer job for which i wanted to store some configuration data. Was looking for some best practices, found a useful links on The Hierarchical Object store Store http://www.chaholl.com/archive/2011/01/30/the-skinny-on-sppersistedobject-and-the-hierarchical-object-store-in.aspxInitially was planning for a custom list, but this would make us run a cross site query and the list name and the url should again be kept in some configuration which is an headache to maintain. Hierarchical object store was zeroed in and thanks to google for the same :)

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  • Data searches that leverage existing indexes

    Recent installments of our SQL Server 2005 Express Edition series have been discussing its implementation of Full Text Indexing. This article focuses on data searches, which leverage existing indexes, taking into account such features as noise words and thesaurus files.

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  • Business layer access to the data layer

    - by rerun
    I have a Business layer (BL) and a Data layer (DL). I have an object o with a child objects collection of Type C. I would like to provide a semantics like the following o.Children.Add("info"). In the BL I would like to have a static CLASS that all of business layer classes uses to get a reference to the current datalayer instance. Is there any issue with that or must I use the factory pattern to limit creation to A class in the BL that knows the DL instance.

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  • Data Mining Introduction

    Many people that work for years with SQL Server never use the Data Mining. This article has the objective to introduce them to this magic and exciting new world. 24% of devs don’t use database source control – make sure you aren’t one of themVersion control is standard for application code, but databases haven’t caught up. So what steps can you take to put your SQL databases under version control? Why should you start doing it? Read more to find out…

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  • Silverlight 3 Data Binding: Imperative and Mixed Approaches

    In the first part of this multi-part series on data binding in Silverlight we learned how to use the declarative XAML syntax approach. In this second part we ll learn how to use the imperative approach and how to combine the two.... Test Drive the Next Wave of Productivity Find Microsoft Office 2010 and SharePoint 2010 trials, demos, videos, and more.

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  • Resolving data redundancy up front

    - by okeofs
    Introduction As all of us do when confronted with a problem, the resource of choice is to ‘Google it’. This is where the plot thickens. Recently I was asked to stage data from numerous databases which were to be loaded into a data warehouse. To make a long story short, I was looking for a manner in which to obtain the table names from each database, to ascertain potential overlap.   As the source data comes from a SQL database created from dumps of a third party product,  one could say that there were +/- 95 tables for each database.   Yes I know that first instinct is to use the system stored procedure “exec sp_msforeachdb 'select "?" AS db, * from [?].sys.tables'”. However, if one stops to think about this, it would be nice to have all the results in a temporary or disc based  table; which in itself , implies additional labour. This said,  I decided to ‘re-invent’ the wheel. The full code sample may be found at the bottom of this article.   Define a few temporary tables and variables   declare @SQL varchar(max); declare @databasename varchar(75) /* drop table ##rawdata3 drop table #rawdata1 drop table #rawdata11 */ -- A temp table to hold the names of my databases CREATE TABLE #rawdata1 (    database_name varchar(50) ,    database_size varchar(50),    remarks Varchar(50) )     --A temp table with the same database names as above, HOWEVER using an --Identity number (recNO) as a loop variable. --You will note below that I loop through until I reach 25 (see below) as at --that point the system databases, the reporting server database etc begin. --1- 24 are user databases. These are really what I was looking for. --Whilst NOT the best solution,it works and the code was meant as a quick --and dirty. CREATE TABLE #rawdata11 (    recNo int identity(1,1),    database_name varchar(50) ,    database_size varchar(50),    remarks Varchar(50) )   --My output table showing the database name and table name CREATE TABLE ##rawdata3 (    database_name varchar(75) ,    table_name varchar(75), )   Insert the database names into a temporary table I pull the database names using the system stored procedure sp_databases   INSERT INTO #rawdata1 EXEC sp_databases Go   Insert the results from #rawdata1 into a table containing a record number  #rawdata11 so that I can LOOP through the extract   INSERT into #rawdata11 select * from  #rawdata1   We now declare 3 more variables:  @kounter is used to keep track of our position within the loop. @databasename is used to keep track of the’ current ‘ database name being used in the current pass of the loop;  as inorder to obtain the tables for that database we  need to issue a ‘USE’ statement, an insert command and other related code parts. This is the challenging part. @sql is a varchar(max) variable used to contain the ‘USE’ statement PLUS the’ insert ‘ code statements. We now initalize @kounter to 1 .   declare @kounter int; declare @databasename varchar(75); declare @sql varchar(max); set @kounter = 1   The Loop The astute reader will remember that the temporary table #rawdata11 contains our  database names  and each ‘database row’ has a record number (recNo). I am only interested in record numbers under 25. I now set the value of the temporary variable @DatabaseName (see below) .Note that I used the row number as a part of the predicate. Now, knowing the database name, I can create dynamic T-SQL to be executed using the sp_sqlexec stored procedure (see the code in red below). Finally, after all the tables for that given database have been placed in temporary table ##rawdata3, I increment the counter and continue on. Note that I used a global temporary table to ensure that the result set persists after the termination of the run. At some stage, I plan to redo this part of the code, as global temporary tables are not really an ideal solution.    WHILE (@kounter < 25)  BEGIN  select @DatabaseName = database_name from #rawdata11 where recNo = @kounter  set @SQL = 'Use ' + @DatabaseName + ' Insert into ##rawdata3 ' + + ' SELECT table_catalog,Table_name FROM information_schema.tables' exec sp_sqlexec  @Sql  SET @kounter  = @kounter + 1  END   The full code extract   Here is the full code sample.   declare @SQL varchar(max); declare @databasename varchar(75) /* drop table ##rawdata3 drop table #rawdata1 drop table #rawdata11 */ CREATE TABLE #rawdata1 (    database_name varchar(50) ,    database_size varchar(50),    remarks Varchar(50) ) CREATE TABLE #rawdata11 (    recNo int identity(1,1),    database_name varchar(50) ,    database_size varchar(50),    remarks Varchar(50) ) CREATE TABLE ##rawdata3 (    database_name varchar(75) ,    table_name varchar(75), )   INSERT INTO #rawdata1 EXEC sp_databases go INSERT into #rawdata11 select * from  #rawdata1 declare @kounter int; declare @databasename varchar(75); declare @sql varchar(max); set @kounter = 1 WHILE (@kounter < 25)  BEGIN  select @databasename = database_name from #rawdata11 where recNo = @kounter  set @SQL = 'Use ' + @DatabaseName + ' Insert into ##rawdata3 ' + + ' SELECT table_catalog,Table_name FROM information_schema.tables' exec sp_sqlexec  @Sql  SET @kounter  = @kounter + 1  END    select * from ##rawdata3  where table_name like '%SalesOrderHeader%'

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