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  • SQL Server 2008 R2 Express Edition - a treat for small scale businesses

    - by ssqa.net
    SQL Server Express edition is a light-weight software within SQL Server arena, it is classed as database platform that makes it easy to develop data-driven applications that are rich in capability, offer enhanced storage security, and are fast to deploy. Also the SQL Server 2008 Express with Advanced Services is an edition of same flock that includes a new graphical management tool, features for reporting, and advanced text-based search capabilities. You can add the GUI capabilities for management...(read more)

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  • December 2012 Cumulative Updates are available for SQL Server 2008 R2

    - by AaronBertrand
    Microsoft released new cumulative updates for SQL Server. SQL Server 2008 R2 Service Pack 1 Cumulative Update # 10 KB Article: KB #2783135 16 fixes are listed at the time of publication Build number is 10.50.2868 Relevant for @@VERSION 10.50.2500 through 10.50.2867 SQL Server 2008 R2 Service Pack 2 Cumulative Update # 4 KB Article: KB #2777358 34 fixes are listed at time of publication Build number is 10.50.4270 Relevant for @@VERSION 10.50.4000 through 10.50.4269 My usual disclaimer: these updates...(read more)

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  • Review the New Migration Guide to SQL Server 2012 Always On

    - by KKline
    I had the pleasure of meeting Mr. Cephas Lin, of Microsoft, last year at the SQL Saturday in Indianapolis and then later at the PASS Summit in the fall. Cephas has been writing content for SQL Server 2012 Always On. Cephas has recently published his first whitepaper, a migration guide to SQL Server AlwaysOn. Read it and then pass along any feedback: HERE Enjoy, -Kev - Follow me on Twitter !...(read more)

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  • Migrate Sql Server 2000. Which is better, 2005 vs 2008?

    - by Jhonny D. Cano -Leftware-
    My company has a Server with Windows Server 2003, and SQL Server 2000. We are planning to migrate just the database server, a provider said us the migration would be better to 2005 first, and then to 2008, because "the SQL Server 2008 is best suited for Windows Server 2008". Which are the pros and cons of each of these approaches? Migrate SQL 2000 to SQL 2005 and then to SQL 2008 Migrate SQL 2000 directly to SQL 2008 NOTE: Changing Operating System is not an option ($$$) right now for the company. Any article or experiences would be very much appreciated

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  • Sd card bigger than 2gb is not recognized in ubuntu 12.04

    - by dex1
    When I insert a card up to 2gb it is immediately seen by the system but if try it with bigger one it's not seen. I presume the issue is not due to the card reader itself as it reads all cards under windows 7 but due to linux driver. I could see some people having similar issues but no solution. Any help appreciated. GParted doesnt see cards bigger than 2gb. After insertion small card ubuntu@ubuntu:~$ dmesg [10169.384481] mmc0: new SD card at address a95c [10169.384870] mmcblk0: mmc0:a95c SD016 14.0 MiB [10169.386715] mmcblk0: p1 everything worked fine then I removed the small one and put 8gb, waited for 2min [10295.736422] mmc0: card a95c removed [10362.448383] sdhci: Switching to 1.8V signalling voltage failed, retrying with S18R set to 0 [10372.480076] mmc0: Timeout waiting for hardware interrupt. [10382.496146] mmc0: Timeout waiting for hardware interrupt. [10392.512149] mmc0: Timeout waiting for hardware interrupt. [10402.528145] mmc0: Timeout waiting for hardware interrupt. [10402.529267] mmc0: error -110 whilst initialising SD card [10402.748807] sdhci: Switching to 1.8V signalling voltage failed, retrying with S18R set to 0 [10412.768063] mmc0: Timeout waiting for hardware interrupt. [10422.784051] mmc0: Timeout waiting for hardware interrupt. [10432.800076] mmc0: Timeout waiting for hardware interrupt. [10442.816067] mmc0: Timeout waiting for hardware interrupt. [10442.817165] mmc0: error -110 whilst initialising SD card [10443.040805] sdhci: Switching to 1.8V signalling voltage failed, retrying with S18R set to 0 [10453.056145] mmc0: Timeout waiting for hardware interrupt. [10463.072139] mmc0: Timeout waiting for hardware interrupt. [10473.088050] mmc0: Timeout waiting for hardware interrupt. [10483.104046] mmc0: Timeout waiting for hardware interrupt. [10483.104107] mmc0: error -110 whilst initialising SD card [10483.328960] sdhci: Switching to 1.8V signalling voltage failed, retrying with S18R set to 0 [10493.344144] mmc0: Timeout waiting for hardware interrupt. ubuntu@ubuntu:~$ lspci 00:00.0 Host bridge: Intel Corporation Mobile PM965/GM965/GL960 Memory Controller Hub (rev 03) 00:02.0 VGA compatible controller: Intel Corporation Mobile GM965/GL960 Integrated Graphics Controller (primary) (rev 03) 00:02.1 Display controller: Intel Corporation Mobile GM965/GL960 Integrated Graphics Controller (secondary) (rev 03) 00:1a.0 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #4 (rev 03) 00:1a.1 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #5 (rev 03) 00:1a.7 USB controller: Intel Corporation 82801H (ICH8 Family) USB2 EHCI Controller #2 (rev 03) 00:1b.0 Audio device: Intel Corporation 82801H (ICH8 Family) HD Audio Controller (rev 03) 00:1c.0 PCI bridge: Intel Corporation 82801H (ICH8 Family) PCI Express Port 1 (rev 03) 00:1c.3 PCI bridge: Intel Corporation 82801H (ICH8 Family) PCI Express Port 4 (rev 03) 00:1c.4 PCI bridge: Intel Corporation 82801H (ICH8 Family) PCI Express Port 5 (rev 03) 00:1c.5 PCI bridge: Intel Corporation 82801H (ICH8 Family) PCI Express Port 6 (rev 03) 00:1d.0 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #1 (rev 03) 00:1d.1 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #2 (rev 03) 00:1d.2 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #3 (rev 03) 00:1d.7 USB controller: Intel Corporation 82801H (ICH8 Family) USB2 EHCI Controller #1 (rev 03) 00:1e.0 PCI bridge: Intel Corporation 82801 Mobile PCI Bridge (rev f3) 00:1f.0 ISA bridge: Intel Corporation 82801HM (ICH8M) LPC Interface Controller (rev 03) 00:1f.1 IDE interface: Intel Corporation 82801HM/HEM (ICH8M/ICH8M-E) IDE Controller (rev 03) 00:1f.2 SATA controller: Intel Corporation 82801HM/HEM (ICH8M/ICH8M-E) SATA Controller [AHCI mode] (rev 03) 00:1f.3 SMBus: Intel Corporation 82801H (ICH8 Family) SMBus Controller (rev 03) 07:00.0 Ethernet controller: Marvell Technology Group Ltd. 88E8072 PCI-E Gigabit Ethernet Controller (rev 16) 0a:01.0 FireWire (IEEE 1394): O2 Micro, Inc. Firewire (IEEE 1394) (rev 02) 0a:01.2 SD Host controller: O2 Micro, Inc. Integrated MMC/SD Controller (rev 02) 0a:01.3 Mass storage controller: O2 Micro, Inc. Integrated MS/xD Controller (rev 01) Same cards, same machine (same reader) only different OS(win7) work flawlessly. Some interesting reading I came across but is Chinese for me http://www.mail-archive.com/[email protected]/msg14598.html and another bit http://article.gmane.org/gmane.linux.kernel.mmc/11973/match=sd+card+not+recognized

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  • Cumulative Update #5 is available for SQL Server 2012 RTM

    - by AaronBertrand
    Microsoft has released Cumulative Update #5 for SQL Server 2012 RTM. Note this is *not* a cumulative update for Service Pack 1. So if your build # is >= 11.0.3000, you should not be installing this update. KB Article: KB #2777772 Build # 11.0.2395 28 fixes at the time of writing Relevant for builds 11.0.2100 -> 11.0.3329. Do not attempt to install on SQL Server 2012 SP1 (any build >= 11.0.3000) or any previous version of SQL Server....(read more)

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  • Microsoft Delivers Full Suite of SQL Server Powershell Cmdlets

    - by merrillaldrich
    We’ve all been waiting several years for this, and finally it’s here! Coinciding (approximately) with the release of SQL Server 2012, a new Feature Pack has appeared on the Microsoft web site that adds a full suite of PowerShell cmdlets for DDL and other functions. This means that, at last, we can do things like fully-featured SQL deployment scripts without all the (severe) limitations of T-SQL, such as primitive use of variables, flow control, exception handling. Taking a cue, finally, from the...(read more)

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  • T-SQL Tuesday #007 and T-SQL Tuesday Has a Logo

    - by Adam Machanic
    This month’s T-SQL Tuesday is hosted by Jorge Segarra, the “SQL Chicken.” The topic is rather open ended: What is your favorite new(ish) SQL Server feature? Love the DACPAC? Can’t wait for PDW? Post about it and tell us why! In other T-SQL Tuesday news, we now have a logo. Those of you who are participating in the event, take notice; the rules have changed. Now that we have a logo we’re simplifying the linkback and subject guidelines a bit. Henceforth you can title your post however you want. It...(read more)

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  • The most dangerous SQL Script in the world!

    - by DrJohn
    In my last blog entry, I outlined how to automate SQL Server database builds from concatenated SQL Scripts. However, I did not mention how I ensure the database is clean before I rebuild it. Clearly a simple DROP/CREATE DATABASE command would suffice; but you may not have permission to execute such commands, especially in a corporate environment controlled by a centralised DBA team. However, you should at least have database owner permissions on the development database so you can actually do your job! Then you can employ my universal "drop all" script which will clear down your database before you run your SQL Scripts to rebuild all the database objects. Why start with a clean database? During the development process, it is all too easy to leave old objects hanging around in the database which can have unforeseen consequences. For example, when you rename a table you may forget to delete the old table and change all the related views to use the new table. Clearly this will mean an end-user querying the views will get the wrong data and your reputation will take a nose dive as a result! Starting with a clean, empty database and then building all your database objects using SQL Scripts using the technique outlined in my previous blog means you know exactly what you have in your database. The database can then be repopulated using SSIS and bingo; you have a data mart "to go". My universal "drop all" SQL Script To ensure you start with a clean database run my universal "drop all" script which you can download from here: 100_drop_all.zip By using the database catalog views, the script finds and drops all of the following database objects: Foreign key relationships Stored procedures Triggers Database triggers Views Tables Functions Partition schemes Partition functions XML Schema Collections Schemas Types Service broker services Service broker queues Service broker contracts Service broker message types SQLCLR assemblies There are two optional sections to the script: drop users and drop roles. You may use these at your peril, particularly as you may well remove your own permissions! Note that the script has a verbose mode which displays the SQL commands it is executing. This can be switched on by setting @debug=1. Running this script against one of the system databases is certainly not recommended! So I advise you to keep a USE database statement at the top of the file. Good luck and be careful!!

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  • 24 hours of PASS is back!

    - by Sergio Govoni
    The most important free on-line event on SQL Server and Business Intelligence is back! The 24 Hours of PASS is coming back with a great edition fully based on the new features of SQL Server 2014. What could you aspect from the next PASS Summit? Find it out on June 25, 2014 (12:00 GMT) on 24 Hours of PASS: SQL Server 2014! Register now at this link. No matter from what part of the world you will follow the event, the important thing is to know that it will be 24 hours of continuous training on SQL Server and Business Intelligence.

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  • Last chance for a day of free SQL Server training at SQL in the City 2012

    SQL Server developers and database administrators have one last chance for a full day of free training and networking at SQL in the City 2012. NEW! Deployment Manager Early Access ReleaseDeploy SQL Server changes and .NET applications fast, frequently, and without fuss, using Deployment Manager, the new tool from Red Gate. Try the Early Access Release to get a 20% discount on Version 1. Download the Early Access Release.

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  • SQL Date Comparison

    - by Derek Dieter
    When comparing the datetime datatype in SQL Server, it is important to maintain consistency in order to gaurd against SQL interpreting a date differently than you intend. In at least one occasion I have seen someone specify a short format for a date, like (1/4/08) only to find that SQL interpreted the month as [...]

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  • Creating a SQL Azure Database Should be Easier

    - by Ken Cox [MVP]
    Every time I try to create a database + tables + data for Windows Azure SQL I get errors.  One of them is 'Filegroup reference and partitioning scheme' is not supported in this version of SQL Server.' It’s partly due to my poor memory (since I’ve succeeded before) and partly due to the failure of tools that should be helping me. For example, when I want to create a script from an existing database on my local workstation, I use SQL Server Management Studio (currently v 11.0.2100.60).  I go to Tasks > Generate Scripts which brings up the nice Generate and Publish Scripts wizard. When I go into the Advanced button, under Script for Server Version, why don’t I see SQL Azure as an option by now? The tool should be sorting this out for me, right? Maybe this is available in SQL Server Data Tools? I haven’t got into that yet. Just merge the functionality with SSMS, please. Anyway, I pick an older version of SQL for the target and still need to tweak it for Azure. For example, I take out all the “[dbo].” stuff. Why is it put there by the wizard? I also have to get rid of "ON [PRIMARY]"  to deal with the error I noted at the top. Yes, there’s information on what a table needs to look like in SQL Azure but the tools should know this so I don’t have to mess with it.

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  • Simple way to create a SQL Server Job Using T-SQL

    Sometimes we have a T-SQL process that we need to run that takes some time to run or we want to run it during idle time on the server. We could create a SQL Agent job manually, but is there any simple way to create a scheduled job? The seven tools in the SQL DBA Bundle support your core SQL Server database administration tasks.Make backups a breeze! Enjoy trouble-free troubleshooting! Make the most of monitoring! Download a free trial now.

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  • Stairway to SQL PowerShell Level 4: Objects in SQL PowerShell

    This far, we have learned about installation and setup of the PowerShell environment. You should now have a foundation of SQL Server PowerShell. We now are ready to learn about Objects in SQL PowerShell. Schedule Azure backupsRed Gate’s Cloud Services makes it simple to create and schedule backups of your SQL Azure databases to Azure blob storage or Amazon S3. Try it for free today.

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  • T-SQL Tuesday #34: HELP!

    - by merrillaldrich
    I owe my career to the SQL Server community, specifically the Internet SQL Server community, so this month’s T-SQL Tuesday is especially poignant. I changed careers “cold” about eight years ago, and, while I had some educational background in computer science, I had relatively little real-world DBA experience. Someone gave me a shot in the form of an entry level job, for which I am grateful, but I also had to make the argument to him that I would figure out whatever I needed to do to be successful...(read more)

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  • what's a good way to synchronize a sql server 2008 database from a 2005 database automatically?

    - by Keith Nicholas
    Ok, the scenario is... two servers, on completely different parts of the internet. The sql 2008 database just needs to get data updates and schema changes. It doesn't need to send anything to the 2005 database. Basically just suck data and schema as efficiently as possible automatically as a scheduled task. The database is quite huge.... but the changes per day are probablly around 20/30 megabytes of data/ I can't run any of the inbuilt replication on the 2005 database. I've had a wee look at the Sync Framework, I think that might do what I want, but seems a bit painful and requires a bit of work to get going. I'm wondering if there is tooling out there to make this easier? or?? not quite sure what my options are.

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  • I'm looking for a reliable way to verify T-SQL stored procedures. Anybody got one?

    - by Cory Larson
    Hi all-- We're upgrading from SQL Server 2005 to 2008. Almost every database in the 2005 instance is set to 2000 compatibility mode, but we're jumping to 2008. Our testing is complete, but what we've learned is that we need to get faster at it. I've discovered some stored procedures that either SELECT data from missing tables or try to ORDER BY columns that don't exist. Wrapping the SQL to create the procedures in SET PARSEONLY ON and trapping errors in a try/catch only catches the invalid columns in the ORDER BYs. It does not find the error with the procedure selecting data from the missing table. SSMS 2008's intellisense, however, DOES find the issue, but I can still go ahead and successfully run the ALTER script for the procedure without it complaining. So, why can I even get away with creating a procedure that fails when it runs? Are there any tools out there that can do better than what I've tried? The first tool I found wasn't very useful: DbValidator from CodeProject, but it finds fewer problems than this script I found on SqlServerCentral, which found the invalid column references. ------------------------------------------------------------------------- -- Check Syntax of Database Objects -- Copyrighted work. Free to use as a tool to check your own code or in -- any software not sold. All other uses require written permission. ------------------------------------------------------------------------- -- Turn on ParseOnly so that we don't actually execute anything. SET PARSEONLY ON GO -- Create a table to iterate through declare @ObjectList table (ID_NUM int NOT NULL IDENTITY (1, 1), OBJ_NAME varchar(255), OBJ_TYPE char(2)) -- Get a list of most of the scriptable objects in the DB. insert into @ObjectList (OBJ_NAME, OBJ_TYPE) SELECT name, type FROM sysobjects WHERE type in ('P', 'FN', 'IF', 'TF', 'TR', 'V') order by type, name -- Var to hold the SQL that we will be syntax checking declare @SQLToCheckSyntaxFor varchar(max) -- Var to hold the name of the object we are currently checking declare @ObjectName varchar(255) -- Var to hold the type of the object we are currently checking declare @ObjectType char(2) -- Var to indicate our current location in iterating through the list of objects declare @IDNum int -- Var to indicate the max number of objects we need to iterate through declare @MaxIDNum int -- Set the inital value and max value select @IDNum = Min(ID_NUM), @MaxIDNum = Max(ID_NUM) from @ObjectList -- Begin iteration while @IDNum <= @MaxIDNum begin -- Load per iteration values here select @ObjectName = OBJ_NAME, @ObjectType = OBJ_TYPE from @ObjectList where ID_NUM = @IDNum -- Get the text of the db Object (ie create script for the sproc) SELECT @SQLToCheckSyntaxFor = OBJECT_DEFINITION(OBJECT_ID(@ObjectName, @ObjectType)) begin try -- Run the create script (remember that PARSEONLY has been turned on) EXECUTE(@SQLToCheckSyntaxFor) end try begin catch -- See if the object name is the same in the script and the catalog (kind of a special error) if (ERROR_PROCEDURE() <> @ObjectName) begin print 'Error in ' + @ObjectName print ' The Name in the script is ' + ERROR_PROCEDURE()+ '. (They don''t match)' end -- If the error is just that this already exists then we don't want to report that. else if (ERROR_MESSAGE() <> 'There is already an object named ''' + ERROR_PROCEDURE() + ''' in the database.') begin -- Report the error that we got. print 'Error in ' + ERROR_PROCEDURE() print ' ERROR TEXT: ' + ERROR_MESSAGE() end end catch -- Setup to iterate to the next item in the table select @IDNum = case when Min(ID_NUM) is NULL then @IDNum + 1 else Min(ID_NUM) end from @ObjectList where ID_NUM > @IDNum end -- Turn the ParseOnly back off. SET PARSEONLY OFF GO Any suggestions?

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  • Big GRC: Turning Data into Actionable GRC Intelligence

    - by Jenna Danko
    While it’s no longer headline news that Governments have carried out large scale data-mining programmes aimed at terrorism detection and identifying other patterns of interest across a wide range of digital data sources, the debate over the ethics and justification over this action, will clearly continue for some time to come. What is becoming clear is that these programmes are a framework for the collation and aggregation of massive amounts of unstructured data and from this, the creation of actionable intelligence from analyses that allowed the analysts to explore and extract a variety of patterns and then direct resources. This data included audio and video chats, phone calls, photographs, e-mails, documents, internet searches, social media posts and mobile phone logs and connections. Although Governance, Risk and Compliance (GRC) professionals are not looking at the implementation of such programmes, there are many similar GRC “Big data” challenges to be faced and potential lessons to be learned from these high profile government programmes that can be applied a lot closer to home. For example, how can GRC professionals collect, manage and analyze an enormous and disparate volume of data to create and manage their own actionable intelligence covering hidden signs and patterns of criminal activity, the early or retrospective, violation of regulations/laws/corporate policies and procedures, emerging risks and weakening controls etc. Not exactly the stuff of James Bond to be sure, but it is certainly more applicable to most GRC professional’s day to day challenges. So what is Big Data and how can it benefit the GRC process? Although it often varies, the definition of Big Data largely refers to the following types of data: Traditional Enterprise Data – includes customer information from CRM systems, transactional ERP data, web store transactions, and general ledger data. Machine-Generated /Sensor Data – includes Call Detail Records (“CDR”), weblogs and trading systems data. Social Data – includes customer feedback streams, micro-blogging sites like Twitter, and social media platforms like Facebook. The McKinsey Global Institute estimates that data volume is growing 40% per year, and will grow 44x between 2009 and 2020. But while it’s often the most visible parameter, volume of data is not the only characteristic that matters. In fact, according to sources such as Forrester there are four key characteristics that define big data: Volume. Machine-generated data is produced in much larger quantities than non-traditional data. This is all the data generated by IT systems that power the enterprise. This includes live data from packaged and custom applications – for example, app servers, Web servers, databases, networks, virtual machines, telecom equipment, and much more. Velocity. Social media data streams – while not as massive as machine-generated data – produce a large influx of opinions and relationships valuable to customer relationship management as well as offering early insight into potential reputational risk issues. Even at 140 characters per tweet, the high velocity (or frequency) of Twitter data ensures large volumes (over 8 TB per day) need to be managed. Variety. Traditional data formats tend to be relatively well defined by a data schema and change slowly. In contrast, non-traditional data formats exhibit a dizzying rate of change. Without question, all GRC professionals work in a dynamic environment and as new services, new products, new business lines are added or new marketing campaigns executed for example, new data types are needed to capture the resultant information.  Value. The economic value of data varies significantly. Typically, there is good information hidden amongst a larger body of non-traditional data that GRC professionals can use to add real value to the organisation; the greater challenge is identifying what is valuable and then transforming and extracting that data for analysis and action. For example, customer service calls and emails have millions of useful data points and have long been a source of information to GRC professionals. Those calls and emails are critical in helping GRC professionals better identify hidden patterns and implement new policies that can reduce the amount of customer complaints.   Now on a scale and depth far beyond those in place today, all that unstructured call and email data can be captured, stored and analyzed to reveal the reasons for the contact, perhaps with the aggregated customer results cross referenced against what is being said about the organization or a similar peer organization on social media. The organization can then take positive actions, communicating to the market in advance of issues reaching the press, strengthening controls, adjusting risk profiles, changing policy and procedures and completely minimizing, if not eliminating, complaints and compensation for that specific reason in the future. In this one example of many similar ones, the GRC team(s) has demonstrated real and tangible business value. Big Challenges - Big Opportunities As pointed out by recent Forrester research, high performing companies (those that are growing 15% or more year-on-year compared to their peers) are taking a selective approach to investing in Big Data.  "Tomorrow's winners understand this, and they are making selective investments aimed at specific opportunities with tangible benefits where big data offers a more economical solution to meet a need." (Forrsights Strategy Spotlight: Business Intelligence and Big Data, Q4 2012) As pointed out earlier, with the ever increasing volume of regulatory demands and fines for getting it wrong, limited resource availability and out of date or inadequate GRC systems all contributing to a higher cost of compliance and/or higher risk profile than desired – a big data investment in GRC clearly falls into this category. However, to make the most of big data organizations must evolve both their business and IT procedures, processes, people and infrastructures to handle these new high-volume, high-velocity, high-variety sources of data and be able integrate them with the pre-existing company data to be analyzed. GRC big data clearly allows the organization access to and management over a huge amount of often very sensitive information that although can help create a more risk intelligent organization, also presents numerous data governance challenges, including regulatory compliance and information security. In addition to client and regulatory demands over better information security and data protection the sheer amount of information organizations deal with the need to quickly access, classify, protect and manage that information can quickly become a key issue  from a legal, as well as technical or operational standpoint. However, by making information governance processes a bigger part of everyday operations, organizations can make sure data remains readily available and protected. The Right GRC & Big Data Partnership Becomes Key  The "getting it right first time" mantra used in so many companies remains essential for any GRC team that is sponsoring, helping kick start, or even overseeing a big data project. To make a big data GRC initiative work and get the desired value, partnerships with companies, who have a long history of success in delivering successful GRC solutions as well as being at the very forefront of technology innovation, becomes key. Clearly solutions can be built in-house more cheaply than through vendor, but as has been proven time and time again, when it comes to self built solutions covering AML and Fraud for example, few have able to scale or adapt appropriately to meet the changing regulations or challenges that the GRC teams face on a daily basis. This has led to the creation of GRC silo’s that are causing so many headaches today. The solutions that stand out and should be explored are the ones that can seamlessly merge the traditional world of well-known data, analytics and visualization with the new world of seemingly innumerable data sources, utilizing Big Data technologies to generate new GRC insights right across the enterprise.Ultimately, Big Data is here to stay, and organizations that embrace its potential and outline a viable strategy, as well as understand and build a solid analytical foundation, will be the ones that are well positioned to make the most of it. A Blueprint and Roadmap Service for Big Data Big data adoption is first and foremost a business decision. As such it is essential that your partner can align your strategies, goals, and objectives with an architecture vision and roadmap to accelerate adoption of big data for your environment, as well as establish practical, effective governance that will maintain a well managed environment going forward. Key Activities: While your initiatives will clearly vary, there are some generic starting points the team and organization will need to complete: Clearly define your drivers, strategies, goals, objectives and requirements as it relates to big data Conduct a big data readiness and Information Architecture maturity assessment Develop future state big data architecture, including views across all relevant architecture domains; business, applications, information, and technology Provide initial guidance on big data candidate selection for migrations or implementation Develop a strategic roadmap and implementation plan that reflects a prioritization of initiatives based on business impact and technology dependency, and an incremental integration approach for evolving your current state to the target future state in a manner that represents the least amount of risk and impact of change on the business Provide recommendations for practical, effective Data Governance, Data Quality Management, and Information Lifecycle Management to maintain a well-managed environment Conduct an executive workshop with recommendations and next steps There is little debate that managing risk and data are the two biggest obstacles encountered by financial institutions.  Big data is here to stay and risk management certainly is not going anywhere, and ultimately financial services industry organizations that embrace its potential and outline a viable strategy, as well as understand and build a solid analytical foundation, will be best positioned to make the most of it. Matthew Long is a Financial Crime Specialist for Oracle Financial Services. He can be reached at matthew.long AT oracle.com.

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  • Configuration for a two machine ESXi cluster using VSA to present local storage to VMs

    - by MDMarra
    I'm designing a little vSphere 5 cluster for one of our remote sites. We have some IBM x3650s that have 6x 300GB 10K RPM drives in them, along with dual quad core CPUs and 24GB RAM. Because we use HP P4500 G2s at our primary site, we have licenses available for HP P4000 VSAs. I thought that this would be the perfect opportunity to use them. Below is a basic drawing of what I want to accomplish: I want to run a P4000 VSA on each server and run them in a Network RAID-10 (Lefthand speak for network mirroring, think of it as RAID 1 across nodes or as an active/active storage cluster). I will then present this storage to guests that will run on this mini-cluster. It will be managed by a vCenter Server on our main site. All connections will be GbE with two dedicated to storage. Management and Data will share a pair of connections, since I don't expect there to be high load. These servers are just there to provide directory services, dhcp, printing, etc. Does anyone see anything potentially wrong with this approach? Is this the best way to do this without adding additional dedicated storage heads? Are there any pitfalls in this design, besides the lack of dedicated Data/Mgmt interfaces?

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  • Sizing Switches for Storage and Production

    - by Untalented
    Couple questions. Should you always completely separate the storage network switches from production switches or are VLANs fine to segment this traffic? Is there a golden rule here? How do you properly size a switch for your environment based on the specifications the manufacturer provide (Throughput, Forwarding Throughput, Stacking Throughput, Max Mac)? If you have two switch options and one has a maximum Mac address of 8,000 vs. another with 16,0000. What does this really mean to me? How do make sure one vs. another is sized properly for me? Besides VLAN and Jumbo Frame support, is there any other "Must" haves for a virtual environments production or storage networks? There is a wealth of knowledge on sizing SANs and such, but this seems equally important and it's quite challenging to find as much information. -- Just to add some tidbits of information for the environment. This setup above is referring to the data centers which supports two different locations which have about 100 users between the two in total. The storage traffic will be iSCSI and will be 3 ESXi Hosts and one SAN housing about 2.7TB of data. Since there is currently no storage network in place (no SAN), I'm having a hard time regarding #2 to really determine what backplane throughput and switch specifications will be sufficient.

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  • Introducing Data Annotations Extensions

    - by srkirkland
    Validation of user input is integral to building a modern web application, and ASP.NET MVC offers us a way to enforce business rules on both the client and server using Model Validation.  The recent release of ASP.NET MVC 3 has improved these offerings on the client side by introducing an unobtrusive validation library built on top of jquery.validation.  Out of the box MVC comes with support for Data Annotations (that is, System.ComponentModel.DataAnnotations) and can be extended to support other frameworks.  Data Annotations Validation is becoming more popular and is being baked in to many other Microsoft offerings, including Entity Framework, though with MVC it only contains four validators: Range, Required, StringLength and Regular Expression.  The Data Annotations Extensions project attempts to augment these validators with additional attributes while maintaining the clean integration Data Annotations provides. A Quick Word About Data Annotations Extensions The Data Annotations Extensions project can be found at http://dataannotationsextensions.org/, and currently provides 11 additional validation attributes (ex: Email, EqualTo, Min/Max) on top of Data Annotations’ original 4.  You can find a current list of the validation attributes on the afore mentioned website. The core library provides server-side validation attributes that can be used in any .NET 4.0 project (no MVC dependency). There is also an easily pluggable client-side validation library which can be used in ASP.NET MVC 3 projects using unobtrusive jquery validation (only MVC3 included javascript files are required). On to the Preview Let’s say you had the following “Customer” domain model (or view model, depending on your project structure) in an MVC 3 project: public class Customer { public string Email { get; set; } public int Age { get; set; } public string ProfilePictureLocation { get; set; } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } When it comes time to create/edit this Customer, you will probably have a CustomerController and a simple form that just uses one of the Html.EditorFor() methods that the ASP.NET MVC tooling generates for you (or you can write yourself).  It should look something like this: With no validation, the customer can enter nonsense for an email address, and then can even report their age as a negative number!  With the built-in Data Annotations validation, I could do a bit better by adding a Range to the age, adding a RegularExpression for email (yuck!), and adding some required attributes.  However, I’d still be able to report my age as 10.75 years old, and my profile picture could still be any string.  Let’s use Data Annotations along with this project, Data Annotations Extensions, and see what we can get: public class Customer { [Email] [Required] public string Email { get; set; }   [Integer] [Min(1, ErrorMessage="Unless you are benjamin button you are lying.")] [Required] public int Age { get; set; }   [FileExtensions("png|jpg|jpeg|gif")] public string ProfilePictureLocation { get; set; } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Now let’s try to put in some invalid values and see what happens: That is very nice validation, all done on the client side (will also be validated on the server).  Also, the Customer class validation attributes are very easy to read and understand. Another bonus: Since Data Annotations Extensions can integrate with MVC 3’s unobtrusive validation, no additional scripts are required! Now that we’ve seen our target, let’s take a look at how to get there within a new MVC 3 project. Adding Data Annotations Extensions To Your Project First we will File->New Project and create an ASP.NET MVC 3 project.  I am going to use Razor for these examples, but any view engine can be used in practice.  Now go into the NuGet Extension Manager (right click on references and select add Library Package Reference) and search for “DataAnnotationsExtensions.”  You should see the following two packages: The first package is for server-side validation scenarios, but since we are using MVC 3 and would like comprehensive sever and client validation support, click on the DataAnnotationsExtensions.MVC3 project and then click Install.  This will install the Data Annotations Extensions server and client validation DLLs along with David Ebbo’s web activator (which enables the validation attributes to be registered with MVC 3). Now that Data Annotations Extensions is installed you have all you need to start doing advanced model validation.  If you are already using Data Annotations in your project, just making use of the additional validation attributes will provide client and server validation automatically.  However, assuming you are starting with a blank project I’ll walk you through setting up a controller and model to test with. Creating Your Model In the Models folder, create a new User.cs file with a User class that you can use as a model.  To start with, I’ll use the following class: public class User { public string Email { get; set; } public string Password { get; set; } public string PasswordConfirm { get; set; } public string HomePage { get; set; } public int Age { get; set; } } Next, create a simple controller with at least a Create method, and then a matching Create view (note, you can do all of this via the MVC built-in tooling).  Your files will look something like this: UserController.cs: public class UserController : Controller { public ActionResult Create() { return View(new User()); }   [HttpPost] public ActionResult Create(User user) { if (!ModelState.IsValid) { return View(user); }   return Content("User valid!"); } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Create.cshtml: @model NuGetValidationTester.Models.User   @{ ViewBag.Title = "Create"; }   <h2>Create</h2>   <script src="@Url.Content("~/Scripts/jquery.validate.min.js")" type="text/javascript"></script> <script src="@Url.Content("~/Scripts/jquery.validate.unobtrusive.min.js")" type="text/javascript"></script>   @using (Html.BeginForm()) { @Html.ValidationSummary(true) <fieldset> <legend>User</legend> @Html.EditorForModel() <p> <input type="submit" value="Create" /> </p> </fieldset> } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } In the Create.cshtml view, note that we are referencing jquery validation and jquery unobtrusive (jquery is referenced in the layout page).  These MVC 3 included scripts are the only ones you need to enjoy both the basic Data Annotations validation as well as the validation additions available in Data Annotations Extensions.  These references are added by default when you use the MVC 3 “Add View” dialog on a modification template type. Now when we go to /User/Create we should see a form for editing a User Since we haven’t yet added any validation attributes, this form is valid as shown (including no password, email and an age of 0).  With the built-in Data Annotations attributes we can make some of the fields required, and we could use a range validator of maybe 1 to 110 on Age (of course we don’t want to leave out supercentenarians) but let’s go further and validate our input comprehensively using Data Annotations Extensions.  The new and improved User.cs model class. { [Required] [Email] public string Email { get; set; }   [Required] public string Password { get; set; }   [Required] [EqualTo("Password")] public string PasswordConfirm { get; set; }   [Url] public string HomePage { get; set; }   [Integer] [Min(1)] public int Age { get; set; } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Now let’s re-run our form and try to use some invalid values: All of the validation errors you see above occurred on the client, without ever even hitting submit.  The validation is also checked on the server, which is a good practice since client validation is easily bypassed. That’s all you need to do to start a new project and include Data Annotations Extensions, and of course you can integrate it into an existing project just as easily. Nitpickers Corner ASP.NET MVC 3 futures defines four new data annotations attributes which this project has as well: CreditCard, Email, Url and EqualTo.  Unfortunately referencing MVC 3 futures necessitates taking an dependency on MVC 3 in your model layer, which may be unadvisable in a multi-tiered project.  Data Annotations Extensions keeps the server and client side libraries separate so using the project’s validation attributes don’t require you to take any additional dependencies in your model layer which still allowing for the rich client validation experience if you are using MVC 3. Custom Error Message and Globalization: Since the Data Annotations Extensions are build on top of Data Annotations, you have the ability to define your own static error messages and even to use resource files for very customizable error messages. Available Validators: Please see the project site at http://dataannotationsextensions.org/ for an up-to-date list of the new validators included in this project.  As of this post, the following validators are available: CreditCard Date Digits Email EqualTo FileExtensions Integer Max Min Numeric Url Conclusion Hopefully I’ve illustrated how easy it is to add server and client validation to your MVC 3 projects, and how to easily you can extend the available validation options to meet real world needs. The Data Annotations Extensions project is fully open source under the BSD license.  Any feedback would be greatly appreciated.  More information than you require, along with links to the source code, is available at http://dataannotationsextensions.org/. Enjoy!

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  • Replication with SQL Server 2005 Express Edition and SQL Compact Edition 3.5

    - by Andy Gable
    hi all, I need some information on SQL Server 2005 Express edition. What I want to do is have my central database servin local machine databases IE back office Cental database |------------------- Shop floor Terminal 1 |------------------- Shop Floor Terminal 2 |------------------- Shop Floor Terminal 3 |------------------- Shop Floor Terminal 4 |------------------- Shop Floor Terminal 5 |------------------- Shop Floor Terminal 6 I want is so that Shop floor terminals would PULL down ANY changes to the database as and when they happen (selected changes are needed change would be Add new item / Edit Item info that is used by Shop floor terminal (ie price, description, sale group) Is this possible with SQL 2005? I have the ability to make my own Sync Applciation but I would need to know what to look for in the database that trigers a update Many thanks for any advice you can give Andy

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  • SQL Server 2008 Express - "Best" backup solution?

    - by Alexander Nyquist
    Hi! What backup solutions would you recommend when using SQL Server 2008 express? I'm pretty new to SQL Server, but as I'm coming from an MySql background i thought of setting up replication on another computer and just take x-copy backups of that server. But unfortanetly replication is not available in the express edition. The site is heavily accessed, so there has to be no delays och downtime. I'm also thinking of doing a backup twice a day or something. What would you recommend? I have multiple computers I can use, but don't know if that helps me since i'm using the express version. Thanks

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