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  • Build-time dependency resolving coming to Entity Framework. Now, how about those BI tools too?

    - by jamiet
    Three months ago I wrote a blog post entitled Some thoughts on Visual Studio database references and how they should be used for SQL Server BI where I shared some thoughts on a feature available to database developers in Visual Studio 2010 that I would love to see added to SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). In there I said: Over the past few weeks I have been making heavy use of the Database tools in Visual Studio 2010 and one of the features that has most impressed me has been database references.   Database references allow you to have stored procedures in your database project that refer to objects (tables, views, stored procedures etc…) that exist in other database projects and hence when you build your database project it is able to resolve those references.   It occurred to me that similar functionality would be incredibly useful for SQL Server Integration Services(SSIS), Analysis Services (SSAS) & Reporting Services (SSRS) projects. After all reports, packages and data source views are rife with references to database objects – why shouldn’t we be able to have design-time dependency checking in our BI projects the same way that database and .Net developers do? In that blog post I shared links to three Connect submissions where I requested this feature be added to SSIS, SSAS & SSRS. In addition I also submitted a request that the feature be extended to .Net projects so that any reference to a database object in a .Net assembly can be resolved at build time. That Connect submission is at [Entity FX] Use database references to constrain the EDM and overnight it received this comment from Microsoft: We have been working on this feature for a while and and will be available soon This is really good news - it improves the Microsoft developer ecosystem by ensuring invalid references to database references get caught at build time (ideally as part of a Continuous integration build) rather than run time. [Hopefully it might nip this code-first nonsense in the bud too (Ooo...way to incite flame comments :) ) ]. If you want to see this feature in action then check out a video from Teched Europe last month entitled SQL Server Developer Tools Code-named "Juneau" where it is demo'd by Lance Delano and Tim Laverty.   The point of this blog post though is not just to draw attention to this forthcoming feature for .Net developers, it is to ask you to petition Microsoft to get this feature added to SSIS/SSAS/SSRS too. After all, we already know (from the video above) that the feature is coming to this new code-name Juneau development environment plus we also know that Juneau will be the development environment for SSIS/SSAS/SSRS as well - is it really much of a stretch to expect the BI tools to have access to this great feature too? I don't think so and if you agree with me then I urge you to vote and add a comment to the Connection submissions that are requesting this feature. They are at: [SSAS] Declare Object Dependancies [SSRS] Declare Object Dependancies [SSIS] Declare Object Dependancies (Update, Apparently someone at Microsoft has deemed it necassary to set this to private and I am not able to change it back even though I submitted it. You can still vote on the other two though.) Let's close that SQL Developer Gap!   @Jamiet    

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  • Is Oracle Policy Automation a Fit for My Agency? I'll bet it is.

    - by jeffrey.waterman
    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-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; 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;} Recently, I stumbled upon a new(-ish) whitepaper now posted on the Oracle Technology Network around Oracle Policy Automation (OPA). This paper is certain to become a must read for any customer interested in rules automation. What is OPA?  If you are not sitting in your favorite Greek restaurant waiting for that order of Saganaki to appear, OPA is Oracle’s solution for automated streamlining, standardizing, and the maintenance of policy. It is a specialized rules platform that simplifies the automation of rules and policies, putting the analysis in the hands of the analysts, not the IT organization. In other words, OPA allows the organization to be more efficient by eliminating (or at a minimum, reducing the engagement of) the middle man from the process. The whitepaper I mention above is titled, “Is Oracle Policy Automation a Good Fit for My Business?”. This short document walks the reader through use cases and advice for the reader to consider when deciding if OPA is right for their agency. The paper outlines many different scenarios, different uses of OPA in production today and, where OPA may not be a good fit. Many of the use case examples revolve around end user questionnaires or analyst research. What is often overlooked is OPA’s ability to act as a rules engine behind the scenes. That is, take inputs from one source (e.g., personnel data), process that data in OPA and send the output (e.g., pay data with benefits deductions) to a second source. The rules have been automated, no necessary human intervention to perform analysis. A few of my customers have used the embedded OPA solution to improve transaction processing and reduce the time spent analyzing exceptions. I suggest any reader whose organization is reliant on or deals with high complexity, volume or volatility in rules that are based on documentation – or which need to be documented – take a look at Oracle Policy Automation. You can find the white paper on Oracle Technology Network. You can find the white paper in the Oracle Policy Automation of the OTN. You can find more information around OPA on oracle.com. Finally, you can send me a question any time at [email protected] Thank you for reading. If you have any topics around Oracle Applications in the Federal or Public Sector industries you would like to see addressed in this blog, please leave suggestions in the comments section and I will do my best to address in a future post.

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  • Map of the Dead Helps You Plan For a Zombie Apocalypse

    - by Jason Fitzpatrick
    There’s no time like the present to start charting out your zombie apocalypse escape route. Map of the Dead highlights key locations–like gun stores, gas stations, and pharmacies–in your immediate area. The key to surviving the zombie horde is fast access to supplies. Unless you have a bunker under your house filled with goodies, you’ll need more fuel, ammo, and medical supplies–Map of the Dead makes it easy to see where the goods are in your locale. Make sure to mouse over the map key for some entertaining commentary. Map of the Dead [via Neatorama] The Best Free Portable Apps for Your Flash Drive Toolkit How to Own Your Own Website (Even If You Can’t Build One) Pt 3 How to Sync Your Media Across Your Entire House with XBMC

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  • HTG Explains: Why Does Photo Paper Improve Print Quality?

    - by Eric Z Goodnight
    So you’ve shelled out the money for a fancy inkjet photo printer, only you’re not impressed with the images you’re getting out of your standard office paper. Have you ever wondered why that photo paper works so much better? Surely, paper is paper, right? What can be so special about it? In this article, we’ll explore the differences between regular typing paper, why these differences are good for printing, and how to take advantage of them for superior photographic printing Latest Features How-To Geek ETC The 50 Best Registry Hacks that Make Windows Better The How-To Geek Holiday Gift Guide (Geeky Stuff We Like) LCD? LED? Plasma? The How-To Geek Guide to HDTV Technology The How-To Geek Guide to Learning Photoshop, Part 8: Filters Improve Digital Photography by Calibrating Your Monitor Our Favorite Tech: What We’re Thankful For at How-To Geek Settle into Orbit with the Voyage Theme for Chrome and Iron Awesome Safari Compass Icons Set Escape from the Exploding Planet Wallpaper Move Your Tumblr Blog to WordPress Pytask is an Easy to Use To-Do List Manager for Your Ubuntu System Snowy Christmas House Personas Theme for Firefox

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  • Advanced Record-Level Business Intelligence with Inner Queries

    - by gt0084e1
    While business intelligence is generally applied at an aggregate level to large data sets, it's often useful to provide a more streamlined insight into an individual records or to be able to sort and rank them. For instance, a salesperson looking at a specific customer could benefit from basic stats on that account. A marketer trying to define an ideal customer could pull the top entries and look for insights or patterns. Inner queries let you do sophisticated analysis without the overhead of traditional BI or OLAP technologies like Analysis Services. Example - Order History Constancy Let's assume that management has realized that the best thing for our business is to have customers ordering every month. We'll need to identify and rank customers based on how consistently they buy and when their last purchase was so sales & marketing can respond accordingly. Our current application may not be able to provide this and adding an OLAP server like SSAS may be overkill for our needs. Luckily, SQL Server provides the ability to do relatively sophisticated analytics via inner queries. Here's the kind of output we'd like to see. Creating the Queries Before you create a view, you need to create the SQL query that does the calculations. Here we are calculating the total number of orders as well as the number of months since the last order. These fields might be very useful to sort by but may not be available in the app. This approach provides a very streamlined and high performance method of delivering actionable information without radically changing the application. It's also works very well with self-service reporting tools like Izenda. SELECT CustomerID,CompanyName, ( SELECT COUNT(OrderID) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID ) As Orders, DATEDIFF(mm, ( SELECT Max(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) ,getdate() ) AS MonthsSinceLastOrder FROM Customers Creating Views To turn this or any query into a view, just put CREATE VIEW AS before it. If you want to change it use the statement ALTER VIEW AS. Creating Computed Columns If you'd prefer not to create a view, inner queries can also be applied by using computed columns. Place you SQL in the (Formula) field of the Computed Column Specification or check out this article here. Advanced Scoring and Ranking One of the best uses for this approach is to score leads based on multiple fields. For instance, you may be in a business where customers that don't order every month require more persistent follow up. You could devise a simple formula that shows the continuity of an account. If they ordered every month since their first order, they would be at 100 indicating that they have been ordering 100% of the time. Here's the query that would calculate that. It uses a few SQL tricks to make this happen. We are extracting the count of unique months and then dividing by the months since initial order. This query will give you the following information which can be used to help sales and marketing now where to focus. You could sort by this percentage to know where to start calling or to find patterns describing your best customers. Number of orders First Order Date Last Order Date Percentage of months order was placed since last order. SELECT CustomerID, (SELECT COUNT(OrderID) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) As Orders, (SELECT Max(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) AS LastOrder, (SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) AS FirstOrder, DATEDIFF(mm,(SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID),getdate()) AS MonthsSinceFirstOrder, 100*(SELECT COUNT(DISTINCT 100*DATEPART(yy,OrderDate) + DATEPART(mm,OrderDate)) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) / DATEDIFF(mm,(SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID),getdate()) As OrderPercent FROM Customers

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  • Target tracking with a small delay (actionscript 3.0)

    - by John Dodson
    I'm having trouble thinking of a good method to track my character with an enemy attack. Of course, I don't want the attack to track my character's current position; I want it to track where the character was about 1 second before (so you can move around and make the attack miss and loop around you sort of a thing). The general structure of my game uses a timer to update all of my events. I have a timer going off every 25 milliseconds that updates everything, including my player's position and the enemies position. Right now I just have the enemy attack directly targeting my character....which works fine except that it's impossible to escape =p. Let me know if I didn't supply enough details. My approach was going to basically be get my character's position from about 1 second ago, then have the enemy target that position, the only problem is I can't think of a good way to get my character's position from previous times. Thanks for the help!

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  • User eXperience

    - by Daniel Moth
    The last few months I have been spending a lot of time designing (and help design) the developer experience for the areas I contribute to (in future versions of Visual Studio). As a technical person who defines feature sets, it is easy to get engulfed in the pure technical side of things and ignore the details that ultimately make users "love" using the product to achieve their goal, instead of just "having to use" it. Engaging in UX design helps me escape that trap. In case you are also interested in the UX side of development, I thought I'd share an interesting site I came across: UX myths. In particular, I recommend reading myths 9, 10, 12, 13, 14, 15 and 21. Let me know if there are other UX resources you recommend… Comments about this post welcome at the original blog.

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  • Investigating on xVelocity (VertiPaq) column size

    - by Marco Russo (SQLBI)
      In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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  • Comparing Apples and Pairs

    - by Tony Davis
    A recent study, High Costs and Negative Value of Pair Programming, by Capers Jones, pulls no punches in its assessment of the costs-to- benefits ratio of pair programming, two programmers working together, at a single computer, rather than separately. He implies that pair programming is a method rushed into production on a wave of enthusiasm for Agile or Extreme Programming, without any real regard for its effectiveness. Despite admitting that his data represented a far from complete study of the economics of pair programming, his conclusions were stark: it was 2.5 times more expensive, resulted in a 15% drop in productivity, and offered no significant quality benefits. The author provides a more scientific analysis than Jon Evans’ Pair Programming Considered Harmful, but the theme is the same. In terms of upfront-coding costs, pair programming is surely more expensive. The claim of productivity loss is dubious and contested by other studies. The third claim, though, did surprise me. The author’s data suggests that if both the pair and the individual programmers employ static code analysis and testing, then there is no measurable difference in the resulting code quality, in terms of defects per function point. In other words, pair programming incurs a massive extra cost for no tangible return in investment. There were, inevitably, many criticisms of his data and his conclusions, a few of which are persuasive. Firstly, that the driver/observer model of pair programming, on which the study bases its findings, is far from the most effective. For example, many find Ping-Pong pairing, based on use of test-driven development, far more productive. Secondly, that it doesn’t distinguish between “expert” and “novice” pair programmers– that is, independently of other programming skills, how skilled was an individual at pair programming. Thirdly, that his measure of quality is too narrow. This point rings true, certainly at Red Gate, where developers don’t pair program all the time, but use the method in short bursts, while tackling a tricky problem and needing a fresh perspective on the best approach, or more in-depth knowledge in a particular domain. All of them argue that pair programming, and collective code ownership, offers significant rewards, if not in terms of immediate “bug reduction”, then in removing the likelihood of single points of failure, and improving the overall quality and longer-term adaptability/maintainability of the design. There is also a massive learning benefit for both participants. One developer told me how he once worked in the same team over consecutive summers, the first time with no pair programming and the second time pair-programming two-thirds of the time, and described the increased rate of learning the second time as “phenomenal”. There are a great many theories on how we should develop software (Scrum, XP, Lean, etc.), but woefully little scientific research in their effectiveness. For a group that spends so much time crunching other people’s data, I wonder if developers spend enough time crunching data about themselves. Capers Jones’ data may be incomplete, but should cause a pause for thought, especially for any large IT departments, supporting commerce and industry, who are considering pair programming. It certainly shouldn’t discourage teams from exploring new ways of developing software, as long as they also think about how to gather hard data to gauge their effectiveness.

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  • How much is a subscriber worth?

    - by Tom Lewin
    This year at Red Gate, we’ve started providing a way to back up SQL Azure databases and Azure storage. We decided to sell this as a service, instead of a product, which means customers only pay for what they use. Unfortunately for us, it makes figuring out revenue much trickier. With a product like SQL Compare, a customer pays for it, and it’s theirs for good. Sure, we offer support and upgrades, but, fundamentally, the sale is a simple, upfront transaction: we’ve made this product, you need this product, we swap product for money and everyone is happy. With software as a service, it isn’t that easy. The money and product don’t change hands up front. Instead, we provide a service in exchange for a recurring fee. We know someone buying SQL Compare will pay us $X, but we don’t know how long service customers will stay with us, or how much they will spend. How do we find this out? We use lifetime value analysis. What is lifetime value? Lifetime value, or LTV, is how much a customer is worth to the business. For Entrepreneurs has a brilliant write up that we followed to conduct our analysis. Basically, it all boils down to this equation: LTV = ARPU x ALC To make it a bit less of an alphabet-soup and a bit more understandable, we can write it out in full: The lifetime value of a customer equals the average revenue per customer per month, times the average time a customer spends with the service Simple, right? A customer is worth the average spend times the average stay. If customers pay on average $50/month, and stay on average for ten months, then a new customer will, on average, bring in $500 over the time they are a customer! Average spend is easy to work out; it’s revenue divided by customers. The problem comes when we realise that we don’t know exactly how long a customer will stay with us. How can we figure out the average lifetime of a customer, if we only have six months’ worth of data? The answer lies in the fact that: Average Lifetime of a Customer = 1 / Churn Rate The churn rate is the percentage of customers that cancel in a month. If half of your customers cancel each month, then your average customer lifetime is two months. The problem we faced was that we didn’t have enough data to make an estimate of one month’s cancellations reliable (because barely anybody cancels)! To deal with this data problem, we can take data from the last three months instead. This means we have more data to play with. We can still use the equation above, we just need to multiply the final result by three (as we worked out how many three month periods customers stay for, and we want our answer to be in months). Now these estimates are likely to be fairly unreliable; when there’s not a lot of data it pays to be cautious with inference. That said, the numbers we have look fairly consistent, and it’s super easy to revise our estimates when new data comes in. At the very least, these numbers give us a vague idea of whether a subscription business is viable. As far as Cloud Services goes, the business looks very viable indeed, and the low cancellation rates are much more than just data points in LTV equations; they show that the product is working out great for our customers, which is exactly what we’re looking for!

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  • URL hex characters in .htaccess

    - by Steve
    There is an old page with a space in the filename, and this is no longer found on the website. So I need to redirect this page to another page using a 301 redirect in .htaccess. If I place the filename directly into .htaccess (Bouquets%20%26%20Loose.html), the redirect does not work. If I escape the % sign like this (Bouquets\%20\%26\%20Loose.html), the redirect still does not work. How do I get this redirect to work in .htaccess? Thanks.

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  • Investigating on xVelocity (VertiPaq) column size

    - by Marco Russo (SQLBI)
      In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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  • The five steps of business intelligence adoption: where are you?

    - by Red Gate Software BI Tools Team
    When I was in Orlando and New York last month, I spoke to a lot of business intelligence users. What they told me suggested a path of BI adoption. The user’s place on the path depends on the size and sophistication of their organisation. Step 1: A company with a database of customer transactions will often want to examine particular data, like revenue and unit sales over the last period for each product and territory. To do this, they probably use simple SQL queries or stored procedures to produce data on demand. Step 2: The results from step one are saved in an Excel document, so business users can analyse them with filters or pivot tables. Alternatively, SQL Server Reporting Services (SSRS) might be used to generate a report of the SQL query for display on an intranet page. Step 3: If these queries are run frequently, or business users want to explore data from multiple sources more freely, it may become necessary to create a new database structured for analysis rather than CRUD (create, retrieve, update, and delete). For example, data from more than one system — plus external information — may be incorporated into a data warehouse. This can become ‘one source of truth’ for the business’s operational activities. The warehouse will probably have a simple ‘star’ schema, with fact tables representing the measures to be analysed (e.g. unit sales, revenue) and dimension tables defining how this data is aggregated (e.g. by time, region or product). Reports can be generated from the warehouse with Excel, SSRS or other tools. Step 4: Not too long ago, Microsoft introduced an Excel plug-in, PowerPivot, which allows users to bring larger volumes of data into Excel documents and create links between multiple tables.  These BISM Tabular documents can be created by the database owners or other expert Excel users and viewed by anyone with Excel PowerPivot. Sometimes, business users may use PowerPivot to create reports directly from the primary database, bypassing the need for a data warehouse. This can introduce problems when there are misunderstandings of the database structure or no single ‘source of truth’ for key data. Step 5: Steps three or four are often enough to satisfy business intelligence needs, especially if users are sophisticated enough to work with the warehouse in Excel or SSRS. However, sometimes the relationships between data are too complex or the queries which aggregate across periods, regions etc are too slow. In these cases, it can be necessary to formalise how the data is analysed and pre-build some of the aggregations. To do this, a business intelligence professional will typically use SQL Server Analysis Services (SSAS) to create a multidimensional model — or “cube” — that more simply represents key measures and aggregates them across specified dimensions. Step five is where our tool, SSAS Compare, becomes useful, as it helps review and deploy changes from development to production. For us at Red Gate, the primary value of SSAS Compare is to establish a dialog with BI users, so we can develop a portfolio of products that support creation and deployment across a range of report and model types. For example, PowerPivot and the new BISM Tabular model create a potential customer base for tools that extend beyond BI professionals. We’re interested in learning where people are in this story, so we’ve created a six-question survey to find out. Whether you’re at step one or step five, we’d love to know how you use BI so we can decide how to build tools that solve your problems. So if you have a sixty seconds to spare, tell us on the survey!

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  • Derby 10.9.1.0 released

    - by kah
    Earlier today, the release of Apache Derby 10.9.1.0 was announced. In addition to the usual chunk of bug fixes, this release includes the following new features: NATIVE authentication, a new authentication mechanism with better support for managing credentials. See this section of the developer's guide for an introduction. JDBC 4.1 escape syntax completes Derby's support for JDBC 4.1. Allow multi-column subqueries in EXISTS predicates (SQL:2003 Feature T501, Enhanced EXISTS predicate) to support auto-generated SQL from some persistence frameworks. Download it now and try it out!

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  • Combo box filter on Extjs4.1.3

    - by saravanakumar
    I have created a window with combo box. Combo configuration is xtype :'combo', fieldLabel : 'Command', labelAlign : 'right', id :'commandInputComboId', store : commandStore, displayField: 'command', valueField : 'id', width : 500, enableKeyEvents : true, allowblank : false, queryMode: 'local', typeAhead : true, triggerAction: 'all', query filter works for normal data. But I have data with escape chars like &lt; because I need to show it as '<' for ex my data is <get-all-users> Filter apply only when I type &lt; not for <. How can apply filter on this data?

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  • Rules of Holes #2: You Are Still in a Hole

    - by ArnieRowland
    OK. So you followed the First Rule of Holes -you stopped digging yourself in deeper. But now what? You are still in a Hole. Your situation has not changed much, but at least you are no longer making it worse. You need to redirect the digging effort into escape and avoidance efforts. The Hole has a singular purpose -consuming all of your time and effort. AND it has succeeded! But now you are going to redirect your efforts for your own survival. You have encountered the Second Rule of Holes: When you...(read more)

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  • reading k&r(c book) and confusing 1st chapter code [closed]

    - by DarkEnergy
    #include <stdio.h> /* copy input to output; 2nd version*/ main() { int c; while ((c = getchar()) != EOF) putchar(c); } this is very confusing... since you never escape the while loop. I've learned that EOF is -1. i type -1 but it just reprints it. It's a never ending loop. Over time did the library get changed and differs from what the book intended it to be? when i say library i mean the putchar()/getchar() that's in the library... sorry.

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  • Site Directory in SharePoint 2010

    - by Enrique Lima
    Sometimes there are so many changes to the environment in which we work and live in that something will escape our attention. In discussing functionality with a client today, the topic of Site Directory came up and the comment of “well, we use it but it is too bad it is not available in 2010” was made … and huge sense of huh?!? came to me. Well, the item that escaped me came to light (and I know there are others).  So researching about it was not only an option it was/is my duty. Found an excellent post by Bill Baer on the subject.  And not only that but there is a reference to a potential and possible solution.  This is something that is being worked on through codeplex, here is the link .. http://spsitedirectory2010.codeplex.com/

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  • Alt + # shorcut, how to remove?

    - by Qocko
    Being a World of Warcraft player, I use keyboard combinations to cast spells and "alt + #" is one of the combination, # being the key just before the 1 2 3 4 [...], under "escape" and on top of "tab" (I have a "French(canada)" keyboard). I've searched in the keyboard options, the shorcuts parts and I found nothing, I even tried to assign it randomly, hopping it'll overwrite the real shorcut but it didn't. When I press "alt + #" I have a "alt + tab" like but just for one type of window. For exemple it'll make me navigate through many instances of folder, but it won't switch to another application. It just cycle through the open windows of one application. Help me get rid of this annoying shorcut please ! Thanks in advance.

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  • Is there a repository of game logic algorithms?

    - by New2This
    I'm writing my first 2D game, and I'm writing some tracking logic for the computer enemies. Basic follow-the-player tracking was easy, but ineffectual. Too easy to escape. So I'm trying to implement some more sophisticated flanking and other tactics, and (as expected) it's pretty tricky. This is a topic I know nothing about. I'm going to keep trying, but it'd be awesome to have some examples or tips to work off of. Is there any place that has a decent set of pseudocode AI algorithms, or tips or advice on the subject, e.g. for 2D tracking?

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  • Rules of Holes -#2: You Are Still in a Hole

    - by ArnieRowland
    OK. So you followed the First Rule of Holes -you stopped digging yourself in deeper. But now what? You are still in a Hole. Your situation has not changed much, but at least you are no longer making it worse. You need to redirect the digging effort into escape and avoidance efforts. The Hole has a singular purpose -consuming all of your time and effort. AND it has succeeded! But now you are going to redirect your efforts for your own survival. You need to look around, take stock of the situation....(read more)

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  • Winforms Release History : Q1 2010 SP2 (version 2010.1.10.504)

    Telerik Presentation Framework ADDED: VS2010 support for the examples ADDED: Base line support FIXED: A memory leak in some controls which support UI virtualization.Visual Style Builder ADDED: Association for *.tssp files, which are now automatically loaded in the VSB when double-clicked. ADDED: Drag-and-drop support in VSB for *.tssp files. ADDED: All dialogs support default buttons, that is, they can be closed with the Escape or Enter keys. ADDED: States and repository items can be removed with...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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  • the new distro ubuntu 12.10 has 2 system Bugs, reinstall the iso also exist [closed]

    - by sunpoison
    Possible Duplicate: How do I report a bug? discovered 2 bugs:: 1)cannot restart the computer when you click the top right icon power key "restart", it will stay on the splash image "ubuntu...",i wait for about 7 minutes and more, it also cannot restart, so, i have to uninstall the battery of the laptop...... 2)when i first update to the 12.10,not run for few hours, the "input method icon" on the top state bar is suddenly hide, when i use the shortcuts to switch the input method with "ctrl +space" it doesn' work at all, i restart the laptop, it can change the input method, but the state icon "a small keyboard icon is escape, i goto the "i bus" settings, but when i how to adjust it, the icon still can't display on the top bar (now i reinstall it use the iso file, this bug is fixed, but it cannot restart like the former one) it must has some problems of the "i bus" input method

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  • Youtube controls (sound, etc) not functional in full-screen mode: is that normal?

    - by mlvljr
    When playing youtube videos full-screen, I can't mouse-interact with the player controls, except for the slider (only single-clicking on the video works as play/pause, but not double-click, interestingly, so the only way to leave full-screen mode is via Escape). Is this behavior known? What can I do about it? I'm on Ubuntu 12.04, using Google's Chrome browser. P.S. If that matters, some other flash players I've tried also display the same problem, so this may be an issue with Google-supplied Flash plugin. Thanks in advance.

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  • ssh:connection timed out

    - by user1155299
    I am trying the following command on ubuntu ssh [email protected] and I get the following error: ssh: connect to host xx.xx.xxx.xxx port 22: Connection timed out so, I tried the following: telnet xx.xx.xxx.xxx 22xx and I got the following message: Trying xx.xx.xxx.xxx... Connected to xx.xx.xxx.xxx. Escape character is '^]'. SSH-2.0-OpenSSH_5.5 Connection closed by foreign host. Can anyone help me understand what the problem is and how I can fix it.

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