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  • Stop Food Waste - OS Open Data & SQL Azure

    An attempt to use Ordanance Survey OS Open Data, SQL Server and SharePoint in the construction of a system for supermarkets to supply expiring food to nearby homeless shelters. What are your servers really trying to tell you? Find out with new SQL Monitor 3.0, an easy-to-use tool built for no-nonsense database professionals.For effortless insights into SQL Server, download a free trial today.

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  • Dual Boot with Common shared space for storage folders

    - by paul
    Hi Sorry if this has been asked many times before I did search and couldnt find anything but perhaps I'm not using the right terminology . I want to install a dual boot, Ubuntu and Windows7 but I want to be able to access my stored files , documents, music, pictures etc from either OS . I already have Ubuntu installed so if there's away without re-installing I am , as you might have guessed new to ubuntu so its all a bit new and strange . If there is a nice step by step tutorial Thanks Paul

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  • Microsoft Issues Security Guidelines for Windows Azure

    New software development lifecycle outlines how to address security threats in the cloud....Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Cloud – the forecast is improving

    - by Rob Farley
    There is a lot of discussion about “the cloud”, and how that affects people’s data stories. Today the discussion enters the realm of T-SQL Tuesday, hosted this month by Jorge Segarra. Over the years, companies have invested a lot in making sure that their data is good, and I mean every aspect of it – the quality of it, the security of it, the performance of it, and more. Experts such as those of us at LobsterPot Solutions have helped these companies with this, and continue to work with clients to make sure that data is a strong part of their business, not an oversight. Whether business intelligence systems are being utilised or not, every business needs to be able to rely on its data, and have the confidence in it. Data should be a foundation upon which a business is built. In the past, data had been stored in paper-based systems. Filing cabinets stored vital information. Today, people have server rooms with storage of various kinds, recognising that filing cabinets don’t necessarily scale particularly well. It’s easy to ‘lose’ data in a filing cabinet, when you have people who need to make sure that the sheets of paper are in the right spot, and that you know how things are stored. Databases help solve that problem, but still the idea of a large filing cabinet continues, it just doesn’t involve paper. If something happens to the physical ‘filing cabinet’, then the problems are larger still. Then the data itself is under threat. Many clients have generators in case the power goes out, redundant cables in case the connectivity dies, and spare servers in other buildings just in case they’re required. But still they’re maintaining filing cabinets. You see, people like filing cabinets. There’s something to be said for having your data ‘close’. Even if the data is not in readable form, living as bits on a disk somewhere, the idea that its home is ‘in the building’ is comforting to many people. They simply don’t want to move their data anywhere else. The cloud offers an alternative to this, and the human element is an obstacle. By leveraging the cloud, companies can have someone else look after their filing cabinet. A lot of people really don’t like the idea of this, partly because the administrators of the data, those people who could potentially log in with escalated rights and see more than they should be allowed to, who need to be trusted to respond if there’s a problem, are now a faceless entity in the cloud. But this doesn’t mean that the cloud is bad – this is simply a concern that some people may have. In new functionality that’s on its way, we see other hybrid mechanisms that mean that people can leverage parts of the cloud with less fear. Companies can use cloud storage to hold their backup data, for example, backups that have been encrypted and are therefore not able to be read by anyone (including administrators) who don’t have the right password. Companies can have a database instance that runs locally, but which has its data files in the cloud, complete with Transparent Data Encryption if needed. There can be a higher level of control, making the change easier to accept. Hybrid options allow people who have had fears (potentially very justifiable) to take a new look at the cloud, and to start embracing some of the benefits of the cloud (such as letting someone else take care of storage, high availability, and more) without losing the feeling of the data being close. @rob_farley

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  • MySQL Unions/Subselects not utilizing keys from associated tables

    - by Brett
    I've noticed by doing EXPLAINs that when a MySQL union between two tables is used, mysql creates a temporary table, but the temp table does not use keys, so queries are slowed considerably. Here is an example: SELECT * FROM ( SELECT `part_number`, `part_manufacturer_clean`, `part_number_clean`, `part_heci`, `part_manufacturer`, `part_description` FROM `new_products` AS `a` UNION SELECT `part` as `part_number`, `manulower` as `part_manufacturer_clean`, `partdeluxe` as `part_number_clean`, `heci` as `part_heci`, `manu` as `part_manufacturer`, `description` as `part_description` FROM `warehouse` AS `b` ) AS `c` WHERE `part_manufacturer_clean` = 'adc' EXPLAIN yields this: id select_type table type possible_keys key key_len ref rows Extra 1 PRIMARY <derived2> ALL (NULL) (NULL) (NULL) (NULL) 17206 Using where 2 DERIVED a ALL (NULL) (NULL) (NULL) (NULL) 17743 3 UNION b ALL (NULL) (NULL) (NULL) (NULL) 5757 (NULL) UNION RESULT <union2,3> ALL (NULL) (NULL) (NULL) (NULL) (NULL) In this case, part_manufacturer_clean and manulower are keys in both tables. When I don't use the subselects and union, and just use one table, everything works fine. I'm not sure if the issue is with the union or with the subselects. Is there any way to union two tables and still use keys/indexes for performance?

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  • Reliable Storage Systems for SQL Server

    By validating the IO path before commissioning the production database system, and performing ongoing validation through page checksums and DBCC checks, you can hopefully avoid data corruption altogether, or at least nip it in the bud. If corruption occurs, then you have to take the right decisions fast to deal with it. Rod Colledge explains how a pessimistic mindset can be an advantage

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  • Multitasking or Tombstoning and Isolated Storage in Windows Phone 7

    Windows Phone 7 manages multiple active applications by implementing a stack. In a sense, this application stack extends the page stack within a single Silverlight program. You can think of the phone as an old-fashioned web browser with no tab feature and no Forward button. But it does have a Back button and it also has a Start button, which brings you to the Start screen and allows you to launch a new program.

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  • Image mapping using lookup tables [on hold]

    - by jblasius
    I have an optimization problem. I'm using a look-up table to map a pixel in an image: for (uint32_t index = 0u; index < imgSize; index++) { img[ lt[ index ] ] = val; } Is there a faster way to do this, perhaps using a reinterpret_cast or something like that? I am accessing two different memory addresses, so what is the compiler doing? One solution is to do a set of reads to access adjacent memory addresses. struct mblock { uint32_t buf[10u]; }; mblock mb; for (uint32_t index = 0u; index < imgSize; index += 10u) { mb = *reinterpret_cast<mblock*>(lt + index)); for (uint8_t i = 0u; i < 10u; i ++) { mb.buf[i] += img; } for (uint8_t i = 0u; i < 10u; i ++) { *( mb.buf[i] ) = val; } } This speeds up the code because I'm separating the image access from the table look-up; the positions in the look-up table are adjacent. I still get the image access problem as it is accessing random address positions.

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  • Languages and tools that are "portable" (work well from a USB storage drive) [closed]

    - by CodexArcanum
    I'm a huge fan of running programs from my portable hard drive: it means I always have my favorite tools no matter what computer I'm on. Sadly, development tools seem to be hard to get portable at times. I recently realized that the "portable" version of MinGW I was using off my USB drive was actually interfering with a locally installed version of MinGW, so sometimes even the tools you think are portable, aren't. So what are the best portable development tools that you've used? What runs well on a portable media, leaves the host machine clean, and generally makes moving around easier for you?

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  • Classless tables possible with Datamapper?

    - by barerd
    I have an Item class with the following attributes: itemId,name,weight,volume,price,required_skills,required_items. Since the last two attributes are going to be multivalued, I removed them and create new schemes like: itemID,required_skill (itemID is foreign key, itemID and required_skill is primary key.) Now, I'm confused how to create/use this new table. Here are the options that came to my mind: 1) The relationship between Items and Required_skills is one-to-many, so I may create a RequiredSkill class, which belongs_to Item, which in turn has n RequiredSkills. Then I can do Item.get(1).requiredskills. This sounds most logical to me. 2) Since required_skills may well be thought of as constants (since they resemble rules), I may put them into a hash or gdbm database or another sql table and query from there, which I don't prefer. My question is: is there sth like a modelless table in datamapper, where datamapper is responsible from the creation and integrity of the table and allows me to query it in datamapper way, but does not require a class, like I may do it in sql?

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  • How to handle status columns in designing tables

    - by altsyset
    How to handle multiple statuses for a table entry, for example an item table may have an active, inactive, fast moving, and/or batch statuses. And I wanted to handle them in single column with VARCHAR type. Also I might set each of those attributes as a boolean with different columns. But I am not sure what consequences this might lead to. So if you have experienced such situations which one would be the best way to handle it?

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  • Use Thread-local Storage to Reduce Synchronization

    Synchronization is often an expensive operation that can limit the performance of a multithreaded program. Using thread-local data structures instead of data structures shared by the threads can reduce synchronization in certain cases, allowing a program to run faster.

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