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• Configuring the SOA Human Task Hostname by Antonis Antoniou

  - by JuergenKress

  When a human task is opened in BPM Workspace, it will try by default to connect to either localhost or the server's alias. So if you try to access the BPM Workspace remotely (from a computer other than where Oracle SOA is running) you will get an http error (unable to connect). You can fix this issue at run-time using the Enterprise Manager (EM). Login to EM and from the farm navigator select your composite by expanding the "SOA", "soa-infra" and your partition node. Read the complete article here. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Technorati Tags: Human task,Antonis Antoniou,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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• Une Release Candidate de Ubuntu 10.04 LTS pour patienter avant la sortie officielle de "Lucid Lynx"

  Mise à jour du 23/04/10 Ubuntu 10.04 LTS arrive la semaine prochaine Canonical sort une Release Candidate en attendant Canonical vient de sortir la Release Candidate (RC) de Unbuntu 10.04 (alias Lucid Lynx). Rien de bien nouveau par rapport aux versions précédentes (lire ci-avant), si ce n'est une finition améliorée - avec notamment de nouveaux fonds d'écran. Le principal intérêt de cette RC est surtout de faire patienter jusqu'à la sortie de la version définitive prévue elle pour la semaine prochaine. Le jeudi 29 avril très exactement. Pour les impatients donc, la RC de Lucid Lynx...

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• Are there well-known PowerShell coding conventions?

  - by Tahir Hassan

  Are there any well-defined conventions when programming in PowerShell? For example, in scripts which are to be maintained long-term, do we need to: Use the real cmdlet name or alias? Specify the cmdlet parameter name in full or only partially (dir -Recurse versus dir -r) When specifying string arguments for cmdlets do you enclose them in quotes (New-Object 'System.Int32' versus New-Object System.Int32 When writing functions and filters do you specify the types of parameters? Do you write cmdlets in the (official) correct case? For keywords like BEGIN...PROCESS...END do you write them in uppercase only? It seems that MSDN lack coding conventions document for PowerShell, while such document exist for example for C#.

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• Wise settings for Git

  - by Marko Apfel

  These settings reflecting my Git-environment. It a result of reading and trying several ideas of input from others. Must-Haves Aliases [alias] ci = commit st = status co = checkout oneline = log --pretty=oneline br = branch la = log --pretty=\"format:%ad %h (%an): %s\" --date=short df = diff dc = diff --cached lg = log -p lol = log --graph --decorate --pretty=oneline --abbrev-commit lola = log --graph --decorate --pretty=oneline --abbrev-commit --all ls = ls-files ign = ls-files -o -i --exclude-standard Colors [color] ui = auto [color "branch"] current = yellow reverse local = yellow remote = green [color "diff"] meta = yellow bold frag = magenta bold old = red bold new = green bold whitespace = red reverse [color "status"] added = green changed = red untracked = cyan Core [core] autocrlf = true excludesfile = c:/Users/<user>/.gitignore editor = 'C:/Program Files (x86)/Notepad++/notepad++.exe' -multiInst -notabbar -nosession –noPlugin Nice to have Merge and Diff [merge] tool = kdiff3 [mergetool "kdiff3"] path = c:/Program Files (x86)/KDiff3/kdiff3.exe [mergetool "p4merge"] path = c:/Program Files (x86)/Perforce Merge/p4merge.exe cmd = p4merge \"$BASE\" \"$LOCAL\" \"$REMOTE\" \"$MERGED\" keepTemporaries = false trustExitCode = false keepBackup = false [diff] guitool = kdiff3 [difftool "kdiff3"] path = c:/Program Files (x86)/KDiff3/kdiff3.exe [difftool "p4merge"] path = C:/Users/<user>/My Applications/Perforce Merge/p4merge.exe cmd = \"p4merge.exe $LOCAL $REMOTE\" .

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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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• Why are Javascript for/in loops so verbose?

  - by Matthew Scharley

  I'm trying to understand the reasoning behind why the language designers would make the for (.. in ..) loops so verbose. For example: for (var x in Drupal.settings.module.stuff) { alert("Index: " + x + "\nValue: " + Drupal.settings.module.stuff[x]); } It makes trying to loop over anything semi-complex like the above a real pain as you either have to alias the value locally inside the loop yourself, or deal with long access calls. This is especially painful if you have two to three nested loops. I'm assuming there is a reason why they would do things this way, but I'm struggling with the reasoning.

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• Shifting from no-www to www and browsers' password storage

  - by user1444680

  I created a website having user-registration system and invited my friend to join it. I gave him the link of no-www version: http://mydomain.com but now after reading this and this, I want to shift to www.mydomain.com. But there's a problem. I saw that my browser is storing separate passwords for mydomain.com and www.mydomain.com. So in my friend's browser his password must have been stored for no-www. That means after I shift to www and next time he opens the login page, his browser wouldn't auto-fill the username and password fields and there will also be an extra entry (of no-www) in his browser's database of stored passwords. Can this be avoided? Can I do something that will convey to browsers that www.mydomain.com and mydomain.com are the same website? I already have a CNAME record for www pointing to mydomain.com but it seems that search engines consider CNAME as alias but browsers consider them as different websites, I don't know why.

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• PowerShell programming conventions

  - by Tahir Hassan

  Do you follow any any conventions when programming in PowerShell? For example, in scripts which are to be maintained long-term do you: Use the real cmdlet name or alias? Specify the cmdlet parameter name in full or only partially (dir -Recurse versus dir -r) When specifying string arguments for cmdlets do you enclose them in quotes (New-Object 'System.Int32' versus New-Object System.Int32 When writing functions and filters do you specify the types of parameters? Do you write cmdlets in the (official) correct case? For keywords like BEGIN...PROCESS...END do you write them in uppercase only? Thanks for any replies.

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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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• Why does Javascript use JSON.stringify instead of JSON.serialize?

  - by Chase Florell

  I'm just wondering about "stringify" vs "serialize". To me they're the same thing (though I could be wrong), but in my past experience (mostly with asp.net) I use Serialize() and never use Stringify(). I know I can create a simple alias in Javascript, // either JSON.serialize = function(input) { return JSON.stringify(input); }; // or JSON.serialize = JSON.stringify; http://jsfiddle.net/HKKUb/ but I'm just wondering about the difference between the two and why stringify was chosen. for comparison purpose, here's how you serialize XML to a String in C# public static string SerializeObject<T>(this T toSerialize) { XmlSerializer xmlSerializer = new XmlSerializer(toSerialize.GetType()); StringWriter textWriter = new StringWriter(); xmlSerializer.Serialize(textWriter, toSerialize); return textWriter.ToString(); }

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• Using the full tty real estate with sqlplus

  - by katsumii

  I believe 'rlwrap' is widely used for adding 'sqlplus' the history function and command line editing. 'rlwrap' has other functions and here's my kludgy alias to force sqlplus to use the full real estate of yourtty. Be it PuTTy session from Windows or Linux gnome terminal. $ declare -f sqlplus sqlplus () { PRE_TEXT=$(resize |sed -n "1s/COLUMNS=/set linesize /p;2s/LINES=/set pagesize /p"|while read line; do printf "%s \ " "$line";done); if [ -z "$1" ]; then rlwrap -m -P "$PRE_TEXT" sqlplus /nolog; else if ! echo $1 | grep '^-' > /dev/null; then rlwrap -m -P "$PRE_TEXT connect $*" sqlplus /nolog; else command sqlplus $*; fi; fi }

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• Code and Slides from my Fall 2012 DevConnections Talks

  - by dwahlin

  Thanks to everyone who attended my sessions at the Fall 2012 DevConnections conference in Las Vegas. There was a ton of interest in different JavaScript and HTML5 topics. Here’s a picture taken after finishing up my first talk. The second one was packed (standing room only…forgot to take a picture though unfortunately) – thanks to everyone for the great questions and interest in the sessions! I really enjoyed talking with everyone that came up afterward.   As promised, here’s where you can find the code and slides I demonstrated during my talks on building an HTML5 application with a variety of technologies and structuring JavaScript code. Building the Account at a Glance ASP.NET MVC, HTML5 and jQuery Application Structuring JavaScript Code - Techniques, Strategies and Patterns If you’re on Twitter keep in touch with me through my DanWahlin alias.

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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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• "Imprinting" as a language feature?

  - by MKO

  Idea I had this idea for a language feature that I think would be useful, does anyone know of a language that implements something like this? The idea is that besides inheritance a class can also use something called "imprinting" (for lack of better term). A class can imprint one or several (non-abstract) classes. When a class imprints another class it gets all it's properties and all it's methods. It's like the class storing an instance of the imprinted class and redirecting it's methods/properties to it. A class that imprints another class therefore by definition also implements all it's interfaces and it's abstract class. So what's the point? Well, inheritance and polymorphism is hard to get right. Often composition gives far more flexibility. Multiple inheritance offers a slew of different problems without much benefits (IMO). I often write adapter classes (in C#) by implementing some interface and passing along the actual methods/properties to an encapsulated object. The downside to that approach is that if the interface changes the class breaks. You also you have to put in a lot of code that does nothing but pass things along to the encapsulated object. A classic example is that you have some class that implements IEnumerable or IList and contains an internal class it uses. With this technique things would be much easier Example (c#) [imprint List<Person> as peopleList] public class People : PersonBase { public void SomeMethod() { DoSomething(this.Count); //Count is from List } } //Now People can be treated as an List<Person> People people = new People(); foreach(Person person in people) { ... } peopleList is an alias/variablename (of your choice)used internally to alias the instance but can be skipped if not needed. One thing that's useful is to override an imprinted method, that could be achieved with the ordinary override syntax public override void Add(Person person) { DoSomething(); personList.Add(person); } note that the above is functional equivalent (and could be rewritten by the compiler) to: public class People : PersonBase , IList<Person> { private List<Person> personList = new List<Person>(); public override void Add(object obj) { this.personList.Add(obj) } public override int IndexOf(object obj) { return personList.IndexOf(obj) } //etc etc for each signature in the interface } only if IList changes your class will break. IList won't change but an interface that you, someone in your team, or a thirdparty has designed might just change. Also this saves you writing a whole lot of code for some interfaces/abstract classes. Caveats There's a couple of gotchas. First we, syntax must be added to call the imprinted classes's constructors from the imprinting class constructor. Also, what happends if a class imprints two classes which have the same method? In that case the compiler would detect it and force the class to define an override of that method (where you could chose if you wanted to call either imprinted class or both) So what do you think, would it be useful, any caveats? It seems it would be pretty straightforward to implement something like that in the C# language but I might be missing something :) Sidenote - Why is this different from multiple inheritance Ok, so some people have asked about this. Why is this different from multiple inheritance and why not multiple inheritance. In C# methods are either virtual or not. Say that we have ClassB who inherits from ClassA. ClassA has the methods MethodA and MethodB. ClassB overrides MethodA but not MethodB. Now say that MethodB has a call to MethodA. if MethodA is virtual it will call the implementation that ClassB has, if not it will use the base class, ClassA's MethodA and you'll end up wondering why your class doesn't work as it should. By the terminology sofar you might already confused. So what happens if ClassB inherits both from ClassA and another ClassC. I bet both programmers and compilers will be scratching their heads. The benefit of this approach IMO is that the imprinting classes are totally encapsulated and need not be designed with multiple inheritance in mind. You can basically imprint anything.

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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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• How to point DNS records to Amazon AWS Elastic Beanstalk

  - by Lance

  I just created a new environment with AWS and uploaded a .zip file into elastic beanstalk. I used to have a friend's server host my site instead of GoDaddy so I changed my custom DNS name servers from pointing to my friend's server to GoDaddy's. AWS told me that I need I need to add a CNAME record on GoDaddy and I did. The alias is lance and the host is lance-env.elasticbeanstalk.com. I know that this change can take 24-48 hours to take effect but it's been a day already and when I go to my site, a default page from GoDaddy appears. I'm very new to AWS and would just like to find a way for AWS to host my site other than using Route53.

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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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• ECMAScript : ajouts et modifications de la 5e édition qui introduisent des incompatibilités avec le 3e

  (une petite traduction rapide des changements impactant entre la v5 et la v3. les numéros correspondent aux chapitres de la norme) Ecma-362 alias EcmaScript5 Annex E Ajouts et modifications dans la 5e édition qui introduisent des incompatibilités avec le 3e édition 7.1: si des caractères de contrôle Unicode sont présent dans une expression String ou une expression d'ExpressionRegulière ils seront inclus dans la l'expression. alors que dans l'édition 3 ils étaient ignorés. 7.2: le caractère Unicode <BOM> (Byte Order Mark) est maintenant traité comme un whitespace alors qu'il provoquait une Syntax Error dans l'édition ...

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• Google a-t-il raté son entrée sur le marché des tablettes ? Android connaît une "croissance pénible" d'après DisplaySearch

  Google a-t-il raté son entrée sur le marché des tablettes ? Android connaît une "croissance pénible" d'après DisplaySearch Six mois après le lancement d'Android 3 (alias Honeycomb), force est de constater que les ventes des tablettes qui tournent dessus sont loin de défrayer les chroniques, elles ne semblent pas être en mesure en tout cas de freiner les ventes frénétiques de l'iPad d'Apple. Pour l'analyste Richard Shim de DisplaySearch, l'univers Android connaît une « croissance pénible » avec Honeycomb : « il est clair que les premières tablettes fondées sur Android ne s'écoulent pas aussi bien que ce que beaucoup attendaient, quelques marques avec lesquelles ...

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• JavaFX 2.1.1 Documentation

  - by NancyH

  JavaFX 2.1.1 released on June 12, and few documents were updated on the docs.oracle.com/javafx website. Besides a new set of release documentation, the Concurrency in JavaFX article was updated with a discussion of how to cancel a task, with a code sample to illustrate that. A new section describes the WorkerStateEvent class and how to use the convenience methods such as cancelled, failed, running, scheduled, and succeeded, which are invoked when the Worker implementation state changes. Other documents were updated to reflect minor bug fixes, many of them contributed by JavaFX readers using the feedback alias in the sidebar of all of our documentation. Yes, we do respond and pay attention to what you say and at least try to point you in the right direction if we can't solve a problem you're having with a tutorial. We appreciate your feedback!

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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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• Mac OS X : Moutain Lion disponible le mois prochain avec la dictée intégrée, les notifications et encore plus d'iCloud

  Mac OS X : Moutain Lion disponible le mois prochain avec la dictée intégrée, les notifications et beaucoup d'iCloud Le WWDC d'Apple est traditionnellement riche en annonce. Cette année, en plus d'iOS 6, la société a également présenté les améliorations en cours pour son prochain OS desktop (alias « Moutain Lion »). Sur les 200 listés par Craig Federighi, c'est avant tout iCloud qui a été mis en avant. La plateforme de stockage et de synchronisation hébergée prendra en charge Messages, Notes, Rappels ou Documents. iCloud synchronisera également les onglets de Safari (unifiant ainsi le surf entre Mac et iOS) et le Game Center (qui débarque sur bureau donc). [IMG]http://ftp-de...

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• Directory access control with Apache: do I need to use a specific .htaccess?

  - by Mirror51

  I have an Apache webserver, and in the Apache configuration, I have Alias /backups "/backups" <Directory "/backups"> AllowOverride None Options Indexes Order allow,deny Allow from all </Directory> I can access files via http://127.0.0.1/backups. The problem is everyone can access that. I have a web interface, e.g. http://localhost/adminm that is protected with htaccess and password. Now I don't want separate .htaccess and .htpasswd for /backups, and I don't want a second password prompt when a user clicks on /backups in the web interface. Is there any way to use same .htaccess and .htpasswd for the backups directory?

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• Mac OS X : Mountain Lion disponible le mois prochain avec la dictée intégrée, les notifications et encore plus d'iCloud

  Mac OS X : Mountain Lion disponible le mois prochain avec la dictée intégrée, les notifications et beaucoup d'iCloud Le WWDC d'Apple est traditionnellement riche en annonces. Cette année, en plus d'iOS 6, la société a également présenté les améliorations en cours pour son prochain OS desktop (alias « Mountain Lion »). Sur les 200 listées par Craig Federighi, c'est avant tout iCloud qui a été mis en avant. La plateforme de stockage et de synchronisation hébergée prendra en charge Messages, Notes, Rappels ou Documents. iCloud synchronisera également les onglets de Safari (unifiant ainsi le surf entre Mac et iOS) et le Game Center (qui débarque sur bureau donc). [IMG]http://ft...

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