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• Ask the Readers: Backing Your Files Up – Local Storage versus the Cloud

  - by Asian Angel

  Backing up important files is something that all of us should do on a regular basis, but may not have given as much thought to as we should. This week we would like to know if you use local storage, cloud storage, or a combination of both to back your files up. Photo by camknows. For some people local storage media may be the most convenient and/or affordable way to back up their files. Having those files stored on media under your control can also provide a sense of security and peace of mind. But storing your files locally may also have drawbacks if something happens to your storage media. So how do you know whether the benefits outweigh the disadvantages or not? Here are some possible pros and cons that may affect your decision to use local storage to back up your files: Local Storage Pros You are in control of your data Your files are portable and can go with you when needed if using external or flash drives Files are accessible without an internet connection You can easily add more storage capacity as needed (additional drives, etc.) Cons You need to arrange room for your storage media (if you have multiple externals drives, etc.) Possible hardware failure No access to your files if you forget to bring your storage media with you or it is too bulky to bring along Theft and/or loss of home with all contents due to circumstances like fire If you are someone who is always on the go and needs to travel as lightly as possible, cloud storage may be the perfect way for you to back up and access your files. Perhaps your laptop has a hard-drive failure or gets stolen…unhappy events to be sure, but you will still have a copy of your files available. Perhaps a company wants to make sure their records, files, and other information are backed up off site in case of a major hardware or system failure…expensive and/or frustrating to fix if it happens, but once again there is a nice backup ready to go once things are fixed. As with local storage, here are some possible pros and cons that may influence your choice of cloud storage to back up your files: Cloud Storage Pros No need to carry around flash or bulky external drives All of your files are accessible wherever there is an internet connection No need to deal with local storage media (or its’ upkeep) Your files are still safe if your home is broken into or other unfortunate circumstances occur Cons Your files and data are not 100% under your control Possible hardware failure or loss of files on the part of your cloud storage provider (this could include a disgruntled employee wreaking havoc) No access to your files if you do not have an internet connection The cloud storage provider may eventually shutdown due to financial hardship or other unforeseen circumstances The possibility of your files and data being stolen by hackers due to a security breach on the part of your cloud storage provider You may also prefer to try and cover all of the possibilities by using both local and cloud storage to back up your files. If something happens to one, you always have the other to fall back on. Need access to those files at or away from home? As long as you have access to either your storage media or an internet connection, you are good to go. Maybe you are getting ready to choose a backup solution but are not sure which one would work better for you. Here is your chance to ask your fellow HTG readers which one they would recommend. Got a great backup solution already in place? Then be sure to share it with your fellow readers! How-To Geek Polls require Javascript. Please Click Here to View the Poll. Latest Features How-To Geek ETC The 20 Best How-To Geek Explainer Topics for 2010 How to Disable Caps Lock Key in Windows 7 or Vista How to Use the Avira Rescue CD to Clean Your Infected PC The Complete List of iPad Tips, Tricks, and Tutorials Is Your Desktop Printer More Expensive Than Printing Services? 20 OS X Keyboard Shortcuts You Might Not Know Winter Sunset by a Mountain Stream Wallpaper Add Sleek Style to Your Desktop with the Aston Martin Theme for Windows 7 Awesome WebGL Demo – Flight of the Navigator from Mozilla Sunrise on the Alien Desert Planet Wallpaper Add Falling Snow to Webpages with the Snowfall Extension for Opera [Browser Fun] Automatically Keep Up With the Latest Releases from Mozilla Labs in Firefox 4.0

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• SQL SERVER – Introduction to Big Data – Guest Post

  - by pinaldave

  BIG Data – such a big word – everybody talks about this now a days. It is the word in the database world. In one of the conversation I asked my friend Jasjeet Sigh the same question – what is Big Data? He instantly came up with a very effective write-up.  Jasjeet is working as a Technical Manager with Koenig Solutions. He leads the SQL domain, and holds rich IT industry experience. Talking about Koenig, it is a 19 year old IT training company that offers several certification choices. Some of its courses include SharePoint Training, Project Management certifications, Microsoft Trainings, Business Intelligence programs, Web Design and Development courses etc. Big Data, as the name suggests, is about data that is BIG in nature. The data is BIG in terms of size, and it is difficult to manage such enormous data with relational database management systems that are quite popular these days. Big Data is not just about being large in size, it is also about the variety of the data that differs in form or type. Some examples of Big Data are given below : Scientific data related to weather and atmosphere, Genetics etc Data collected by various medical procedures, such as Radiology, CT scan, MRI etc Data related to Global Positioning System Pictures and Videos Radio Frequency Data Data that may vary very rapidly like stock exchange information Apart from difficulties in managing and storing such data, it is difficult to query, analyze and visualize it. The characteristics of Big Data can be defined by four Vs: Volume: It simply means a large volume of data that may span Petabyte, Exabyte and so on. However it also depends organization to organization that what volume of data they consider as Big Data. Variety: As discussed above, Big Data is not limited to relational information or structured Data. It can also include unstructured data like pictures, videos, text, audio etc. Velocity:  Velocity means the speed by which data changes. The higher is the velocity, the more efficient should be the system to capture and analyze the data. Missing any important point may lead to wrong analysis or may even result in loss. Veracity: It has been recently added as the fourth V, and generally means truthfulness or adherence to the truth. In terms of Big Data, it is more of a challenge than a characteristic. It is difficult to ascertain the truth out of the enormous amount of data and the one that has high velocity. There are always chances of having un-precise and uncertain data. It is a challenging task to clean such data before it is analyzed. Big Data can be considered as the next big thing in the IT sector in terms of innovation and development. If appropriate technologies are developed to analyze and use the information, it can be the driving force for almost all industrial segments. These include Retail, Manufacturing, Service, Finance, Healthcare etc. This will help them to automate business decisions, increase productivity, and innovate and develop new products. Thanks Jasjeet Singh for an excellent write up.  Jasjeet Sign is working as a Technical Manager with Koenig Solutions. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Database, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Big Data

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• Creating a Corporate Data Hub

  - by BuckWoody

  The Windows Azure Marketplace has a rich assortment of data and software offerings for you to use – a type of Software as a Service (SaaS) for IT workers, not necessarily for end-users. Among those offerings is the “Data Hub” – a  codename for a project that ironically actually does what the codename says. In many of our organizations, we have multiple data quality issues. Finding data is one problem, but finding it just once is often a bigger problem. Lots of departments and even individuals have stored the same data more than once, and in some cases, made changes to one of the copies. It’s difficult to know which location or version of the data is authoritative. Then there’s the problem of accessing the data. It’s fairly straightforward to publish a database, share or other location internally to store the data. But then you have to figure out who owns it, how it is controlled, and pass out the various connection strings to those who want to use it. And then you need to figure out how to let folks access the internal data externally – bringing up all kinds of security issues. Finally, in many cases our user community wants us to combine data from the internally sources with external data, bringing up the security, strings, and exploration features up all over again. Enter the Data Hub. This is an online offering, where you assign an administrator and data stewards. You import the data into the service, and it’s available to you - and only you and your organization if you wish. The basic steps for this service are to set up the portal for your company, assign administrators and permissions, and then you assign data areas and import data into them. From there you make them discoverable, and then you have multiple options that you or your users can access that data. You’re then able, if you wish, to combine that data with other data in one location. So how does all that work? What about security? Is it really that easy? And can you really move the data definition off to the Subject Matter Experts (SME’s) that know the particular data stack better than the IT team does? Well, nothing good is easy – but using the Data Hub is actually pretty simple. I’ll give you a link in a moment where you can sign up and try this yourself. Once you sign up, you assign an administrator. From there you’ll create data areas, and then use a simple interface to bring the data in. All of this is done in a portal interface – nothing to install, configure, update or manage. After the data is entered in, and you’ve assigned meta-data to describe it, your users have multiple options to access it. They can simply use the portal – which actually has powerful visualizations you can use on any platform, even mobile phones or tablets.     Your users can also hit the data with Excel – which gives them ultimate flexibility for display, all while using an authoritative, single reference for the data. Since the service is online, they can do this wherever they are – given the proper authentication and permissions. You can also hit the service with simple API calls, like this one from C#: http://msdn.microsoft.com/en-us/library/hh921924  You can make HTTP calls instead of code, and the data can even be exposed as an OData Feed. As you can see, there are a lot of options. You can check out the offering here: http://www.microsoft.com/en-us/sqlazurelabs/labs/data-hub.aspx and you can read the documentation here: http://msdn.microsoft.com/en-us/library/hh921938

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• Creating a Corporate Data Hub

  - by BuckWoody

  The Windows Azure Marketplace has a rich assortment of data and software offerings for you to use – a type of Software as a Service (SaaS) for IT workers, not necessarily for end-users. Among those offerings is the “Data Hub” – a  codename for a project that ironically actually does what the codename says. In many of our organizations, we have multiple data quality issues. Finding data is one problem, but finding it just once is often a bigger problem. Lots of departments and even individuals have stored the same data more than once, and in some cases, made changes to one of the copies. It’s difficult to know which location or version of the data is authoritative. Then there’s the problem of accessing the data. It’s fairly straightforward to publish a database, share or other location internally to store the data. But then you have to figure out who owns it, how it is controlled, and pass out the various connection strings to those who want to use it. And then you need to figure out how to let folks access the internal data externally – bringing up all kinds of security issues. Finally, in many cases our user community wants us to combine data from the internally sources with external data, bringing up the security, strings, and exploration features up all over again. Enter the Data Hub. This is an online offering, where you assign an administrator and data stewards. You import the data into the service, and it’s available to you - and only you and your organization if you wish. The basic steps for this service are to set up the portal for your company, assign administrators and permissions, and then you assign data areas and import data into them. From there you make them discoverable, and then you have multiple options that you or your users can access that data. You’re then able, if you wish, to combine that data with other data in one location. So how does all that work? What about security? Is it really that easy? And can you really move the data definition off to the Subject Matter Experts (SME’s) that know the particular data stack better than the IT team does? Well, nothing good is easy – but using the Data Hub is actually pretty simple. I’ll give you a link in a moment where you can sign up and try this yourself. Once you sign up, you assign an administrator. From there you’ll create data areas, and then use a simple interface to bring the data in. All of this is done in a portal interface – nothing to install, configure, update or manage. After the data is entered in, and you’ve assigned meta-data to describe it, your users have multiple options to access it. They can simply use the portal – which actually has powerful visualizations you can use on any platform, even mobile phones or tablets.     Your users can also hit the data with Excel – which gives them ultimate flexibility for display, all while using an authoritative, single reference for the data. Since the service is online, they can do this wherever they are – given the proper authentication and permissions. You can also hit the service with simple API calls, like this one from C#: http://msdn.microsoft.com/en-us/library/hh921924  You can make HTTP calls instead of code, and the data can even be exposed as an OData Feed. As you can see, there are a lot of options. You can check out the offering here: http://www.microsoft.com/en-us/sqlazurelabs/labs/data-hub.aspx and you can read the documentation here: http://msdn.microsoft.com/en-us/library/hh921938

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• XNA Easy Storage XBOX 360 High Scores

  - by user1003211

  To followup from a previous query - I need some help with the implementation of easystorage high scores, which is bringing up some errors on the xbox. I get the prompt screen, a savedevice is selected and a file are all created! However the file remains empty, (I've tried prepopulating but still get errors). The full portions of the scoring code can be found here: http://pastebin.com/74v897Yt The current issue in particular is in LoadHighScores() - "There is an error in XML document (0, 0)." under line data = (HighScoreData)serializer.Deserialize(stream); I'm not sure whether this line is correct either: HighScoreData data = new HighScoreData(); public static HighScoreData LoadHighScores(string container, string filename) { HighScoreData data = new HighScoreData(); if (Global.SaveDevice.FileExists(container, filename)) { Global.SaveDevice.Load(container, filename, stream => { File.Open(Global.fileName_options, FileMode.OpenOrCreate, FileAccess.Read); try { // Read the data from the file XmlSerializer serializer = new XmlSerializer(typeof(HighScoreData)); data = (HighScoreData)serializer.Deserialize(stream); } finally { // Close the file stream.Close(); // stream.Dispose(); } }); } return (data); } I call: PromptMe(); when the Start button is pressed at the beginning. I call: if (Global.SaveDevice.IsReady){entries = LoadHighScores(HighScoresContainer, HighScoresFilename);} during the menu screen to try and display the highscore screen. I call: SaveHighScore(); when game ends. I've tried altering the struct code to a class but still no luck. Any help greatly appreciated.

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• Ideal data structure/techniques for storing generic scheduler data in C#

  - by GraemeMiller

  I am trying to implement a generic scheduler object in C# 4 which will output a table in HTML. Basic aim is to show some object along with various attributes, and whether it was doing something in a given time period. The scheduler will output a table displaying the headers: Detail Field 1 ....N| Date1.........N I want to initialise the table with a start date and an end date to create the date range (ideally could also do other time periods e.g. hours but that isn't vital). I then want to provide a generic object which will have associated events. Where an object has events within the period I want a table cell to be marked E.g. Name Height Weight 1/1/2011 2/1/2011 3/1/20011...... 31/1/2011 Ben 5.11 75 X X X Bill 5.7 83 X X So I created scheduler with Start Date=1/1/2011 and end date 31/1/2011 I'd like to give it my person object (already sorted) and tell it which fields I want displayed (Name, Height, Weight) Each person has events which have a start date and end date. Some events will start and end outwith but they should still be shown on the relevant date etc. Ideally I'd like to have been able to provide it with say a class booking object as well. So I'm trying to keep it generic. I have seen Javasript implementations etc of similar. What would a good data structure be for this? Any thoughts on techniques I could use to make it generic. I am not great with generics so any tips appreciated.

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• Claiming the provisioned storage

  - by gita

  I created a ubuntu server vm with 64GB provisioned storage. I remember that I specified 30GB to be used for the vm. When I do df -h, I get Filesystem Size Used Avail Use% Mounted on /dev/mapper/analysis--db-root<br/> 28G 25G 904M 97% / udev 2.0G 4.0K 2.0G 1% /dev tmpfs 793M 228K 793M 1% /run none 5.0M 0 5.0M 0% /run/lock none 2.0G 0 2.0G 0% /run/shm /dev/sda1 228M 45M 171M 21% /boot The disk is almost full, how can I use my other 30GB from the provisioned storage?

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• USB modeswitch to mass storage device

  - by Andrew

  I'm trying to install a Sierra AirCard 320U (branded as "Telstra USB 4G") into a VirtualBox Windows XP machine, on an Ubuntu 10.10 host. usb_modeswitch offers me a way to disable the "mass storage device" option, but I can't see a way to permanently re-enable it so it's usable by VirtualBox (device filters briefly detect it but then it disappears again). lsusb shows the device as: 0f3d:68aa Airprime, Incorporated When I first insert the device, it shows as 1199:0fff Sierra Wireless, Inc. Is there any way to re-enable the storage device so VirtualBox can see it?

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• Accessing SQL Data Services via ADO.NET Data Service Client Library

  - by Mehmet Aras

  Is this possible? Basically I would like to use SQL Data Services REST interface and let the ADO.NET Data Service Client library handle communication details and generate the entities that I can use. I looked at the samples in February release of Azure services kit but the samples in there are using HttpWebRequest and HttpWebResponse to consume SQL Data Services RESTfully. I was hoping to use ADO.NET Data Service Client library to abstract low-level details away.

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• Bridging Two Worlds: Big Data and Enterprise Data

  - by Dain C. Hansen

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} The big data world is all the vogue in today’s IT conversations. It’s a world of volume, velocity, variety – tantalizing us with its untapped potential. It’s a world of transformational game-changing technologies that have already begun to alter the information management landscape. One of the reasons that big data is so compelling is that it’s a universal challenge that impacts every one of us. Whether it is healthcare, financial, manufacturing, government, retail - big data presents a pressing problem for many industries: how can so much information be processed so quickly to deliver the ‘bigger’ picture? With big data we’re tapping into new information that didn’t exist before: social data, weblogs, sensor data, complex content, and more. What also makes big data revolutionary is that it turns traditional information architecture on its head, putting into question commonly accepted notions of where and how data should be aggregated processed, analyzed, and stored. This is where Hadoop and NoSQL come in – new technologies which solve new problems for managing unstructured data. And now for some worst practices that I'd recommend that you please not follow: Worst Practice Lesson 1: Throw away everything that you already know about data management, data integration tools, and start completely over. One shouldn’t forget what’s already running in today’s IT. Today’s Business Analytics, Data Warehouses, Business Applications (ERP, CRM, SCM, HCM), and even many social, mobile, cloud applications still rely almost exclusively on structured data – or what we’d like to call enterprise data. This dilemma is what today’s IT leaders are up against: what are the best ways to bridge enterprise data with big data? And what are the best strategies for dealing with the complexities of these two unique worlds? Worst Practice Lesson 2: Throw away all of your existing business applications … because they don’t run on big data yet. Bridging the two worlds of big data and enterprise data means considering solutions that are complete, based on emerging Hadoop technologies (as well as traditional), and are poised for success through integrated design tools, integrated platforms that connect to your existing business applications, as well as and support real-time analytics. Leveraging these types of best practices translates to improved productivity, lowered TCO, IT optimization, and better business insights. Worst Practice Lesson 3: Separate out [and keep separate] your big data sandboxes from all the current enterprise IT systems. Don’t mix sand among playgrounds. We didn't tell you that you wouldn't get dirty doing this. Correlation between the two worlds is key. The real advantage to analyzing big data comes when you can correlate it with the existing data in your data warehouse or your current applications to make sense of the larger patterns. If you have not followed these worst practices 1-3 then you qualify for the first step of our journey: bridging the two worlds of enterprise data and big data. Over the next several weeks we’ll be discussing this topic along with several others around big data as it relates to data integration. We welcome you to join us in the conversation by following us on twitter on #BridgingBigData or download our latest white paper and resource kit: Big Data and Enterprise Data: Bridging Two Worlds.

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• SQL SERVER – Data Sources and Data Sets in Reporting Services SSRS

  - by Pinal Dave

  This example is from the Beginning SSRS by Kathi Kellenberger. Supporting files are available with a free download from the www.Joes2Pros.com web site. This example is from the Beginning SSRS. Supporting files are available with a free download from the www.Joes2Pros.com web site. Connecting to Your Data? When I was a child, the telephone book was an important part of my life. Maybe I was just a nerd, but I enjoyed getting a new book every year to page through to learn about the businesses in my small town or to discover where some of my school acquaintances lived. It was also the source of maps to my town’s neighborhoods and the towns that surrounded me. To make a phone call, I would need a telephone number. In order to find a telephone number, I had to know how to use the telephone book. That seems pretty simple, but it resembles connecting to any data. You have to know where the data is and how to interact with it. A data source is the connection information that the report uses to connect to the database. You have two choices when creating a data source, whether to embed it in the report or to make it a shared resource usable by many reports. Data Sources and Data Sets A few basic terms will make the upcoming choses make more sense. What database on what server do you want to connect to? It would be better to just ask… “what is your data source?” The connection you need to make to get your reports data is called a data source. If you connected to a data source (like the JProCo database) there may be hundreds of tables. You probably only want data from just a few tables. This means you want to write a specific query against this data source. A query on a data source to get just the records you need for an SSRS report is called a Data Set. Creating a local Data Source You can connect embed a connection from your report directly to your JProCo database which (let’s say) is installed on a server named Reno. If you move JProCo to a new server named Tampa then you need to update the Data Set. If you have 10 reports in one project that were all pointing to the JProCo database on the Reno server then they would all need to be updated at once. It’s possible to make a project level Data Source and have each report use that. This means one change can fix all 10 reports at once. This would be called a Shared Data Source. Creating a Shared Data Source The best advice I can give you is to create shared data sources. The reason I recommend this is that if a database moves to a new server you will have just one place in Report Manager to make the server name change. That one change will update the connection information in all the reports that use that data source. To get started, you will start with a fresh project. Go to Start > All Programs > SQL Server 2012 > Microsoft SQL Server Data Tools to launch SSDT. Once SSDT is running, click New Project to create a new project. Once the New Project dialog box appears, fill in the form, as shown in. Be sure to select Report Server Project this time – not the wizard. Click OK to dismiss the New Project dialog box. You should now have an empty project, as shown in the Solution Explorer. A report is meant to show you data. Where is the data? The first task is to create a Shared Data Source. Right-click on the Shared Data Sources folder and choose Add New Data Source. The Shared Data Source Properties dialog box will launch where you can fill in a name for the data source. By default, it is named DataSource1. The best practice is to give the data source a more meaningful name. It is possible that you will have projects with more than one data source and, by naming them, you can tell one from another. Type the name JProCo for the data source name and click the Edit button to configure the database connection properties. If you take a look at the types of data sources you can choose, you will see that SSRS works with many data platforms including Oracle, XML, and Teradata. Make sure SQL Server is selected before continuing. For this post, I am assuming that you are using a local SQL Server and that you can use your Windows account to log in to the SQL Server. If, for some reason you must use SQL Server Authentication, choose that option and fill in your SQL Server account credentials. Otherwise, just accept Windows Authentication. If your database server was installed locally and with the default instance, just type in Localhost for the Server name. Select the JProCo database from the database list. At this point, the connection properties should look like. If you have installed a named instance of SQL Server, you will have to specify the server name like this: Localhost\InstanceName, replacing the InstanceName with whatever your instance name is. If you are not sure about the named instance, launch the SQL Server Configuration Manager found at Start > All Programs > Microsoft SQL Server 2012 > Configuration Tools. If you have a named instance, the name will be shown in parentheses. A default instance of SQL Server will display MSSQLSERVER; a named instance will display the name chosen during installation. Once you get the connection properties filled in, click OK to dismiss the Connection Properties dialog box and OK again to dismiss the Shared Data Source properties. You now have a data source in the Solution Explorer. What’s next I really need to thank Kathi Kellenberger and Rick Morelan for sharing this material for this 5 day series of posts on SSRS. To get really comfortable with SSRS you will get to know the different SSDT windows, Build reports on your own (without the wizards),  Add report headers and footers, Accept user input,  create levels, charts, or even maps for visual appeal. You might be surprise to know a small 230 page book starts from the very beginning and covers the steps to do all these items. Beginning SSRS 2012 is a small easy to follow book so you can learn SSRS for less than $20. See Joes2Pros.com for more on this and other books. If you want to learn SSRS in easy to simple words – I strongly recommend you to get Beginning SSRS book from Joes 2 Pros. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Reporting Services, SSRS

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• Keeping an Eye on Your Storage

  - by Fatherjack

  There are plenty of resources that advise you about looking for signs that your storage hardware is having problems. SQL Server Alerts for 823, 824 and 825 are covered here by Paul Randall of SQL Skills: http://www.sqlskills.com/blogs/paul/a-little-known-sign-of-impending-doom-error-825/ and here by me: https://www.simple-talk.com/blogs/2011/06/27/alerts-are-good-arent-they/. Now until very recently I wasn’t aware that there was a different way to track the 823 + 824 errors. It was by complete chance that I happened to be searching about in the msdb database when I found the suspect_pages table. Running a query against it I got zero rows. This, as it turns out is a good thing. Highlighting the table name and pressing F1 got me nowhere – Is it just me or does Books Online fail to load properly for no obvious reason sometimes? So I typed the table name into the search bar and got my local version of http://msdn.microsoft.com/en-us/library/ms174425.aspx. From that we get the following description: Contains one row per page that failed with a minor 823 error or an 824 error. Pages are listed in this table because they are suspected of being bad, but they might actually be fine. When a suspect page is repaired, its status is updated in the event_type column. So, in the table we would, on healthy hardware, expect to see zero rows but on disks that are having problems the event_type column would show us what is going on. Where there are suspect pages on the disk the rows would have an event_type value of 1, 2 or 3, where those suspect pages have been restored, repaired or deallocated by DBCC then the value would be 4, 5 or 7. Having this table means that we can set up SQL Monitor to check the status of our hardware as we can create a custom metric based on the query below: USE [msdb] go SELECT COUNT(*) FROM [dbo].[suspect_pages] AS sp All we need to do is set the metric to collect this value and set an alert to email when the value is not 1 and we are then able to let SQL Monitor take care of our storage. Note that the suspect_pages table does not have any updates concerning Error 825 which the links at the top of the page cover in more detail. I would suggest that you set SQL Monitor to alert on the suspect_pages table in addition to other taking other measures to look after your storage hardware and not have it as your only precaution. Microsoft actually pass ownership and administration of the suspect_pages table over to the database administrator (Manage the suspect_pages Table (SQL Server)) and in a surprising move (to me at least) advise DBAs to actively update and archive data in it. The table will only ever contain a maximum of 1000 rows and once full, new rows will not be added. Keeping an eye on this table is pretty important, although In my opinion, if you get to 1000 rows in this table and are not already waiting for new disks to be added to your server you are doing something wrong but if you have 1000 rows in there then you need to move data out quickly because you may be missing some important events on your server.

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• Network and Storage Devices Throughput Chart

  - by zroiy

  With all of the different storage and network devices that surround our day to day life, understanding these devices data transfer speeds can be somewhat confusing. Think about trying to identify your weakest link in the a chain that starts with an external USB hard drive (or a flash drive) that's connected to a 802.11g wifi router, can you quickly come up with an answer of where's the bottle neck in that chain , is it the router or the storage devices ? . Well, the following chart should give you an idea understanding different devices, protocols and interfaces maximum throughput speeds. Though these numbers can fluctuate (mostly for worse, but sometimes for the better) due to different kind of factors such as OS overhead (or caching and optimization) , multiple users or processes and so on , the chart can still serve to provide basic information on the theoretical throughput different devices and protocols can get to.. Enjoy.  Link to the full size chart   References:http://en.wikipedia.org/wiki/Sata#SATA_revision_1.0_.28SATA_1.5_Gbit.2Fs.29http://en.wikipedia.org/wiki/Usbhttp://en.wikipedia.org/wiki/Usb_3http://en.wikipedia.org/wiki/802.11http://mashable.com/2011/09/21/fastest-download-speeds-infographic/http://en.wikipedia.org/wiki/Thunderbolt_(interface)http://www.computerworld.com/s/article/9220434/Thunderbolt_vs._SuperSpeed_USB_3.0  Icons:http://openiconlibrary.sourceforge.net/gallery2/?./Icons/devices/drive-harddisk-3.png      

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• responsibility for storage

  - by Stefano Borini

  A colleague and I were brainstorming about where to put the responsibility of an object to store itself on the disk in our own file format. There are basically two choices: object.store(file) fileformatWriter.store(object) The first one gives the responsibility of serialization on the disk to the object itself. This is similar to the approach used by python pickle. The second groups the representation responsibility on a file format writer object. The data object is just a plain data container (eventually with additional methods not relevant for storage). We agreed on the second methodology, because it centralizes the writing logic from generic data. We also have cases of objects implementing complex logic that need to store info while the logic is in progress. For these cases, the fileformatwriter object can be passed and used as a delegate, calling storage operations on it. With the first pattern, the complex logic object would instead accept the raw file, and implement the writing logic itself. The first method, however, has the advantage that the object knows how to write and read itself from any file containing it, which may also be convenient. I would like to hear your opinion before starting a rather complex refactoring.

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• PostgreSQL to Data-Warehouse: Best approach for near-real-time ETL / extraction of data

  - by belvoir

  Background: I have a PostgreSQL (v8.3) database that is heavily optimized for OLTP. I need to extract data from it on a semi real-time basis (some-one is bound to ask what semi real-time means and the answer is as frequently as I reasonably can but I will be pragmatic, as a benchmark lets say we are hoping for every 15min) and feed it into a data-warehouse. How much data? At peak times we are talking approx 80-100k rows per min hitting the OLTP side, off-peak this will drop significantly to 15-20k. The most frequently updated rows are ~64 bytes each but there are various tables etc so the data is quite diverse and can range up to 4000 bytes per row. The OLTP is active 24x5.5. Best Solution? From what I can piece together the most practical solution is as follows: Create a TRIGGER to write all DML activity to a rotating CSV log file Perform whatever transformations are required Use the native DW data pump tool to efficiently pump the transformed CSV into the DW Why this approach? TRIGGERS allow selective tables to be targeted rather than being system wide + output is configurable (i.e. into a CSV) and are relatively easy to write and deploy. SLONY uses similar approach and overhead is acceptable CSV easy and fast to transform Easy to pump CSV into the DW Alternatives considered .... Using native logging (http://www.postgresql.org/docs/8.3/static/runtime-config-logging.html). Problem with this is it looked very verbose relative to what I needed and was a little trickier to parse and transform. However it could be faster as I presume there is less overhead compared to a TRIGGER. Certainly it would make the admin easier as it is system wide but again, I don't need some of the tables (some are used for persistent storage of JMS messages which I do not want to log) Querying the data directly via an ETL tool such as Talend and pumping it into the DW ... problem is the OLTP schema would need tweaked to support this and that has many negative side-effects Using a tweaked/hacked SLONY - SLONY does a good job of logging and migrating changes to a slave so the conceptual framework is there but the proposed solution just seems easier and cleaner Using the WAL Has anyone done this before? Want to share your thoughts?

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• Temporary storage for keeping data between program iterations?

  - by mr.b

  I am working on an application that works like this: It fetches data from many sources, resulting in pool of about 500,000-1,500,000 records (depends on time/day) Data is parsed Part of data is processed in a way to compare it to pre-existing data (read from database), calculations are made, and stored in database. Resulting dataset that has to be stored in database is, however, much smaller in size (compared to original data set), and ranges from 5,000-50,000 records. This process almost always updates existing data, perhaps adds few more records. Then, data from step 2 should be kept somehow, somewhere, so that next time data is fetched, there is a data set which can be used to perform calculations, without touching pre-existing data in database. I should point out that this data can be lost, it's not irreplaceable (key information can be read from database if needed), but it would speed up the process next time. Application components can (and will be) run off different computers (in the same network), so storage has to be reachable from multiple hosts. I have considered using memcached, but I'm not quite sure should I do so, because one record is usually no smaller than 200 bytes, and if I have 1,500,000 records, I guess that it would amount to over 300 MB of memcached cache... But that doesn't seem scalable to me - what if data was 5x that amount? If it were to consume 1-2 GB of cache only to keep data in between iterations (which could easily happen)? So, the question is: which temporary storage mechanism would be most suitable for this kind of processing? I haven't considered using mysql temporary tables, as I'm not sure if they can persist between sessions, and be used by other hosts in network... Any other suggestion? Something I should consider?

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• Reference Data Management and Master Data: Are Relation ?

  - by Mala Narasimharajan

  Submitted By:  Rahul Kamath  Oracle Data Relationship Management (DRM) has always been extremely powerful as an Enterprise Master Data Management (MDM) solution that can help manage changes to master data in a way that influences enterprise structure, whether it be mastering chart of accounts to enable financial transformation, or revamping organization structures to drive business transformation and operational efficiencies, or restructuring sales territories to enable equitable distribution of leads to sales teams following the acquisition of new products, or adding additional cost centers to enable fine grain control over expenses. Increasingly, DRM is also being utilized by Oracle customers for reference data management, an emerging solution space that deserves some explanation. What is reference data? How does it relate to Master Data? Reference data is a close cousin of master data. While master data is challenged with problems of unique identification, may be more rapidly changing, requires consensus building across stakeholders and lends structure to business transactions, reference data is simpler, more slowly changing, but has semantic content that is used to categorize or group other information assets – including master data – and gives them contextual value. In fact, the creation of a new master data element may require new reference data to be created. For example, when a European company acquires a US business, chances are that they will now need to adapt their product line taxonomy to include a new category to describe the newly acquired US product line. Further, the cross-border transaction will also result in a revised geo hierarchy. The addition of new products represents changes to master data while changes to product categories and geo hierarchy are examples of reference data changes.1 The following table contains an illustrative list of examples of reference data by type. Reference data types may include types and codes, business taxonomies, complex relationships & cross-domain mappings or standards. Types & Codes Taxonomies Relationships / Mappings Standards Transaction Codes Industry Classification Categories and Codes, e.g., North America Industry Classification System (NAICS) Product / Segment; Product / Geo Calendars (e.g., Gregorian, Fiscal, Manufacturing, Retail, ISO8601) Lookup Tables (e.g., Gender, Marital Status, etc.) Product Categories City à State à Postal Codes Currency Codes (e.g., ISO) Status Codes Sales Territories (e.g., Geo, Industry Verticals, Named Accounts, Federal/State/Local/Defense) Customer / Market Segment; Business Unit / Channel Country Codes (e.g., ISO 3166, UN) Role Codes Market Segments Country Codes / Currency Codes / Financial Accounts Date/Time, Time Zones (e.g., ISO 8601) Domain Values Universal Standard Products and Services Classification (UNSPSC), eCl@ss International Classification of Diseases (ICD) e.g., ICD9 à IC10 mappings Tax Rates Why manage reference data? Reference data carries contextual value and meaning and therefore its use can drive business logic that helps execute a business process, create a desired application behavior or provide meaningful segmentation to analyze transaction data. Further, mapping reference data often requires human judgment. Sample Use Cases of Reference Data Management Healthcare: Diagnostic Codes The reference data challenges in the healthcare industry offer a case in point. Part of being HIPAA compliant requires medical practitioners to transition diagnosis codes from ICD-9 to ICD-10, a medical coding scheme used to classify diseases, signs and symptoms, causes, etc. The transition to ICD-10 has a significant impact on business processes, procedures, contracts, and IT systems. Since both code sets ICD-9 and ICD-10 offer diagnosis codes of very different levels of granularity, human judgment is required to map ICD-9 codes to ICD-10. The process requires collaboration and consensus building among stakeholders much in the same way as does master data management. Moreover, to build reports to understand utilization, frequency and quality of diagnoses, medical practitioners may need to “cross-walk” mappings -- either forward to ICD-10 or backwards to ICD-9 depending upon the reporting time horizon. Spend Management: Product, Service & Supplier Codes Similarly, as an enterprise looks to rationalize suppliers and leverage their spend, conforming supplier codes, as well as product and service codes requires supporting multiple classification schemes that may include industry standards (e.g., UNSPSC, eCl@ss) or enterprise taxonomies. Aberdeen Group estimates that 90% of companies rely on spreadsheets and manual reviews to aggregate, classify and analyze spend data, and that data management activities account for 12-15% of the sourcing cycle and consume 30-50% of a commodity manager’s time. Creating a common map across the extended enterprise to rationalize codes across procurement, accounts payable, general ledger, credit card, procurement card (P-card) as well as ACH and bank systems can cut sourcing costs, improve compliance, lower inventory stock, and free up talent to focus on value added tasks. Change Management: Point of Sales Transaction Codes and Product Codes In the specialty finance industry, enterprises are confronted with usury laws – governed at the state and local level – that regulate financial product innovation as it relates to consumer loans, check cashing and pawn lending. To comply, it is important to demonstrate that transactions booked at the point of sale are posted against valid product codes that were on offer at the time of booking the sale. Since new products are being released at a steady stream, it is important to ensure timely and accurate mapping of point-of-sale transaction codes with the appropriate product and GL codes to comply with the changing regulations. Multi-National Companies: Industry Classification Schemes As companies grow and expand across geographies, a typical challenge they encounter with reference data represents reconciling various versions of industry classification schemes in use across nations. While the United States, Mexico and Canada conform to the North American Industry Classification System (NAICS) standard, European Union countries choose different variants of the NACE industry classification scheme. Multi-national companies must manage the individual national NACE schemes and reconcile the differences across countries. Enterprises must invest in a reference data change management application to address the challenge of distributing reference data changes to downstream applications and assess which applications were impacted by a given change. References 1 Master Data versus Reference Data, Malcolm Chisholm, April 1, 2006.

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• Azure Table Storage rejects an entity with a Property whose value is an Interface

  - by Andrew B Schultz

  I have a type called "Comment" that I'm saving to Azure Table Storage. Since a comment can be about any number of other types, I created an interface which all of these types implement, and then put a property of type ICommentable on the comment. So Comment has a property called About of type ICommentable. When I try to save a Comment to Azure Table Storage, if the Comment.About property has a value, I get the worthless invalid input error. However, if there is no value for Comment.About, I have no problem. Why would this be? Comment.About is not the only property that is a reference type. For example, Comment.From is a reference type, but the Comment.About is the only property of a type that is an interface. Fails: var comment = new Comment(); comment.CommentText = "It fails!"; comment.PartitionKey = "TEST"; comment.RowKey = "TEST123"; comment.About = sow1; comment.From = person1; Works: var comment = new Comment(); comment.CommentText = "It works!"; comment.PartitionKey = "TEST"; comment.RowKey = "TEST123"; //comment.About = sow1; comment.From = person1; Thanks!

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• Focus on Oracle Data Profiling and Data Quality 11g - 24/Fev/11

  - by Claudia Costa

  Thursday 24th February, 11am GMTOracle offers an integrated suite Data Quality software architected to discover and correct today's data quality problems and establish a platform prepared for tomorrow's yet unknown data challenges.Oracle Data Profiling provides data investigation, discovery, and profiling in support of quality, migration, integration, stewardship, and governance initiatives. It includes a broad range of features that expand upon basic profiling, including automated monitoring, business-rule validation, and trend analysis.Oracle Data Quality for Data Integrator provides cleansing, standardization, matching, address validation, location enrichment, and linking functions for global customer data and operational business data.It ensures that data adheres to established standards that are adaptable to fit each organization's specific needs. Both single - and double - byte data are processed in local languages to provide a unique and centralized view of customers, products and services.  During this in-person briefing, Data Integration Solution Specialists will be providing a technical overview and a walkthrough.Agenda Oracle Data Integration Strategy overview A focus on Oracle Data Profiling and Oracle Data Quality for Data Integrator: Oracle Data Profiling Oracle Data Quality for Data Integrator Live demo Q&A  This FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Registrations received less than 24hours prior to start time may not receive confirmation to attend.To register click here.For any questions please contact [email protected]

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• Game-Changing New Technology for Datacenter Storage

  - by Lajos Sárecz

  Ma este 18 órától tart az Oracle egy publikus webcast-ot, mely keretében egy új storage technológia kerül bejelentésre. Aki az adattárolási költségeit szeretné csökkenteni és egyúttal hatékonyabbá tenni (ki ne szeretné ezt?), annak érdemes beregisztrálnia. A hírek szerint ugyanis ez az új technológia jelentos teljesítmény növekedést eredményez a tárolási költségek csökkentése mellett, ráadásul nagy kapacitással és archiválás valamint adatvédelem szempontjából újszeru képességekkel érkezik.

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• Off-site Cardholder Data Storage

  - by LinuxGnut

  Is there a service or site out there that will store cardholder data for me? I don't need any kind of transaction processing or recurring billing... I just need somewhere that I can store data on until someone in my company is able to look at it. The specific need is allowing customers to input data that will be used for credit checks. Name, Address, Credit Card(s), and the such. Google Checkout, PayPal, NetSuite, and Authorize.net seem to be what everyone suggests to me, but they don't offer what I need -- they're just payment gateways.

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• storage terms clarification required

  - by kumar

  Hi, Having written some network drivers , I m bit new to storage world. I m hearing new terms like RAID,SATA,ATA,AHCI, etc., in this world. Please throw some light and relation between them Thx!

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• Extending WCF Data Service to synthesize missing data on request

  - by Schneider

  I have got a WCF Data Service based on a LINQ to SQL data provider. I am making a query "get me all the records between two dates". The problem is that I want to synthesize two extra records such that I always get records that fall on the start and end dates, plus all the ones in between which come from the database. Is there a way to "intercept" the request so I can synthesize these records and return them to the client? Thanks

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• Tackling Big Data Analytics with Oracle Data Integrator

  - by Irem Radzik

  v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman";}  By Mike Eisterer  The term big data draws a lot of attention, but behind the hype there's a simple story. For decades, companies have been making business decisions based on transactional data stored in relational databases. Beyond that critical data, however, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and documents that can be mined for useful information.  Companies are facing emerging technologies, increasing data volumes, numerous data varieties and the processing power needed to efficiently analyze data which changes with high velocity. Oracle offers the broadest and most integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships Oracle Data Integrator Enterprise Edition(ODI) is critical to any enterprise big data strategy. ODI and the Oracle Data Connectors provide native access to Hadoop, leveraging such technologies as MapReduce, HDFS and Hive. Alongside with ODI’s metadata driven approach for extracting, loading and transforming data; companies may now integrate their existing data with big data technologies and deliver timely and trusted data to their analytic and decision support platforms. In this session, you’ll learn about ODI and Oracle Big Data Connectors and how, coupled together, they provide the critical integration with multiple big data platforms. Tackling Big Data Analytics with Oracle Data Integrator October 1, 2012 12:15 PM at MOSCONE WEST – 3005 For other data integration sessions at OpenWorld, please check our Focus-On document.  If you are not able to attend OpenWorld, please check out our latest resources for Data Integration.

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• BCP???!????????????:Oracle Data Guard ????

  - by Shinobu FUJINAMI

  ??????????????????????????????????????????????????·????????????????? ??????DG???????????????????????Disk Group???Down Grade????????????????????????????????????????? Oracle ? DG ??Data Guard????????????Oracle Data Guard ???????????????????????????????·??????????????????·???????????????????????????????????????????????????????????????? BCP(??????)????????????????????????????????? Oracle Data Guard ??? Oracle Data Guard ????????KROWN??????·????(KDS) ? Data Guard ??????????????????????????????????????????????????????( KROWN??????·????(KDS) ???????? ) ????·???????????? - ???????? Data Guard Data Guard ?????????BCP ????????????????? Data Guard ???????????????????????????????????? - ???????????????????????????? Data Guard ???????·??????(????????)???????????·??????????·??????2?????????????????·?????????????????? ???????????????????????????????·????????????????????????? - Data Guard >> ??????????? ??????????? Data Guard ???????????ASM ? RAC ??????????????????????????? Data Guard ??? Oracle Database ?????????????????  - DataGuard ??????????????????? (11gR1/11gR2) ???????????????????????????????????????????????????  Data Guard ??? Oracle Database ????????????????? - [DataGuard 11g] ?????·?????????????·???? 11g ????????????·?????????????·????????????????? ??????·??????????????????????????????????? ??·???????????? -  Data Guard >> ??????????? ???????????(?????·?????)?????????(????·?????)?????????/??????·???????????????????????? ??????????????????????? ??????????????????????????????? ???·????????????  - Data Guard >> ???? ????????????????????????????????? Data Guard ???????????????????????????????????? ?????????????????????DataGuard??????????????????????????????? ?????DataGuard???????????????????????????????Data Guard ???????????????????????·????????????????????????????? ???????????????????????????????????????????????????????- Data Guard >> ???? ??????????????? ?????????????????????????????????????????????????????????????? ????????????????????????????????? - Data Guard >> ??????????? ??????????????? ?????README, PSR ???????????????????????????????????????????????????????????????????????????????????????????? Oracle Data Guard ? Oracle9i ???????????????????????????????????Oracle Database 10g ???????????·??????? Data Guard ?????????????????????????????????????????????????????????????????Oracle Database 11g ??????·?????·????????????????????????????????????Oracle Data Guard ????????????????????????????????????????

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