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  • CRM Is A Long Term Strategy

    - by ruth.donohue
    With the array of CRM solutions out there, it's sometimes easy to forget that CRM is more than just technology with fancy bells and whistles -- it's a long-term strategy that involves people and processes as well. The Wise Marketer summarizes a Gartner report outlining three key steps necessary to create and execute a successful CRM stratetegy that is linked with overall corporate strategy.

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  • 25 reasons to attend JavaOne 2012

    - by arungupta
    17th JavaOne is just around the corner, less than 3 weeks away! If you are still thinking about registering for the conference, here are my top 25 reasons to attend the conference: Biggest gathering of Java geeks in the world Latest and greatest content with 475 technical sessions/Birds of Feathers/Hands-on labs sessions (about 20% more from last year) Reduced number of keynotes to accommodate room for more technical content No product pitches, exclusive focus on technology (I can tell you that from my experience as a track lead) Sessions are divided in different in-depth technical tracks to focus on Java technology that most interests you Reruns of several popular sessions Experts and Practitioners-led HOLs and tutorials Rock star speakers, panelists, faculties, and instructors. Meet several Java Champions and JUG leaders from all around the world Engage with speakers and discuss with fellow developers in a casual setting with lots of networking space A complete conference dedicated for Java Embedded Extensive and fast-paced hands-on University Sessions on Sunday, learn while you are at the conference. You can register for Java University only or attend with the conference. Dukes Choice Awards recognize and celebrate the most innovative usage of the Java platform DEMOgrounds and Exhibition Hall provide extensive opportunities for networking and engagement with the biggest names in Java (dedicated hours on each day as well) Dedicated day for Java User Groups and Communities (GlassFish Community Event and NetBeans Community Day) Multiple registration packages to meet your needs Pay for 4 full conference passes and get a fifth one free Students and Bloggers get a free pass Geek Bike Ride with fellow speakers and attendees in a casual setting Greenest conference on the plane Enjoy different cuisines in the San Francisco city, take a trip to Alcatraz or Napa Valley or go running on the crooked street ;-) There are tons of tourist opportunities in/around San Francisco. Tons of parties during the conference, in the evening, late night, and early mornings. Don't forget Thirsty Bear Party! Pearl Jam and Kings of Leon at Appreciation Party Oracle Music Festival at Yerba Buena Gardens Grab the bragging rights "I have attended JavaOne"! Learn a new skill, build new connections, conceive a new idea and push the boundaries of Java in the most important educational and networking event of the year for Java developers and enthusiasts. With so much geekgasm going on during the 5 days of JavaOne, is there a reason for you to wait ? Register for the conference now! Grab your buttons, banners, and other collateral at JavaOne Toolkit. You can also send an email to [email protected]. And reach out to us using different social media channels ... As a 13 year veteran of the conference, I can tell this is some thing every Java developer must experience! I will be there, will you ?

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  • Deep insight into the behaviour of the SPARC T4 processor

    - by nospam(at)example.com (Joerg Moellenkamp)
    Ruud van der Pas and Jared Smolens wrote an really interesting whitepaper about the SPARC T4 and its behaviour in regard with certain code: How the SPARC T4 Processor Optimizes Throughput Capacity: A Case Study. In this article the authors compare and explain the behaviour of the the UltraSPARC T4 and T2+ processor in order to highlight some of the strengths of the SPARC T-series processors in general and the T4 in particular.

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  • Why are there no package management systems for C and C++?

    - by m0nhawk
    There are some programming languages for which exist their own package management systems: CTAN for TeX CPAN for Perl Pip & Eggs for Python Maven for Java cabal for Haskell Gems for Ruby Is there any other languages with such systems? What about C and C++? (that's the main question!) Why there are no such systems for them? And isn't creating packages for yum, apt-get or other general package management systems better?

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  • Languages on embedded systems in aeronautic and spatial sector

    - by Niels
    I know that my question is very broad but a general answer would be nice. I would like to know which are the main languages used in aeronautic and spatial sector. I know that the OS which run on embedded systems are RTOS (Real time OS) and I think that, this languages must be checked correctly by different methods (formal methods, unit tests) and must permit a sure verification of whole process of a program.

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  • DotNetNuke 6 beta released

    - by Chris Hammond
    DotNetNuke 6 is coming, DotNetNuke 6 is coming! That’s right, we’re getting close, close enough that we had our first “beta” for DNN6 today. While we’ve had a couple of CTP (community technology preview) releases, the beta today has quite a bit of things wrapped up and addressed. There are a number of new things coming in DotNetNuke 6, and rather than try to explain them all I’ll point you to Joe Brinkman’s blog post from this morning . The biggest thing is that most of the Admin and Module settings...(read more)

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  • Corporate tech blogs?

    - by shoosh
    I'm trying to convince my emplyer, a small startup, to setup a blog for the engineers to write about interesting topic in technology we use daily. This would be a separate blog than the one dedicated for product and marketing stuff. I was thinking about something like Joel's blog but focused more on actual code rather than management. Do you know of any successful existing blogs like that? Tech blogs run by the employees of a company?

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  • Blogging from the PASS Summit : WIT Luncheon

    - by AaronBertrand
    SQL Sentry is very proud to sponsor the 10th annual Women in Technology Luncheon at the PASS Summit. Probably 700 people in here - pretty crowded house. This luncheon is growing year over year and is always a refreshing and interesting event to attend. Bill Graziano kicks things off and introduces our moderator, Wendy Pastrick. The panel is made up of Stefanie Higgins (actually the founder of the WIT Luncheon event), Denise McInerney, Kevin Kline, Jen Stirrup and Kendra Little. Stefanie talked about...(read more)

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  • Developer career feeling like going back in time every new job [closed]

    - by komediant
    Is there a good category for this question? My background is bachelor in ICT and for a hobby I am programming already since I was around twelve I think. Started with QBasic, Pascal, C, Java et cetera. Currently I am working for about eight/nine years. Half academics/medical and half company world. A few years ago I started with frameworks and I began with Grails (underlying Spring/Hibernate), which was a heavenly job, very productive and no hassle. My previous job I developed in pure Spring/Hibernate Java, which was a bit more writing annotations and XML and no conventions like Grails. But still, I did like Spring/Hibernate a lot and the professional setup with a developmentstreet, versioning, Jenkins/Sonar, log4j and a good IDE like IntellIJ. It felt quite 'clear' and organised, although I knew Grails which felt a bit more productive. But...at my current job almost half the code is pure servlet, hard coded JDBC (connections handled by yourself), scriptlets in all JSP pages, no service layer, no versioning, no Maven, HTML in DAO-layer, JAR-hell, no hot swap deployment locally, every change you have to deploy and hope it works fine on the server. All local development needs ugly scriptlet tags to check which environment it is running. Et cetera. Now and then developers work over in the evening - I don't - and still lots of issues are not solved and new projects are waiting. I hear the developers complaining, but somehow they feel like what they have now is "advanced" or they are in a sort of comfore zone. The lead developer seems open for new things, but half of the times he says he can implement MVC-framework features himself instead of using what is already out there. So in short, I currently feel like I miss all the modern framework techniques and that the company is going so slow forward. I just work here for two months now. What I do now is also code some partially ugly stuff, but it goes in completely into my nature and I feel uncomfortable with it. Coding something takes long(er) than estimated and my manager complains about why it takes so long and I feel ashamed for myself needing so much time. Where I was used to just writing a query I now build up whole try catch methods. My manager knows my complaints and the developers do so too. There will come a meeting to line out plans for 2013 on technology and the issues I and the company are facing. I am not looking for another job yet, it's close to wehre I live and the economy is fragile. Does anyone else have had this kind of career, like feeling going backwards witch technology? And how did you cope with it?

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  • Intel Rapid Storage Technology (pre-OS) driver installation

    - by Nero theZero
    My desktop machine is built on Gigabyte GA-Z87-UD3H and Gigabyte provides the latest driver for Intel Rapid Storage Technology (IRST), which I installed after installing the OS. Same goes for my Lenovo Thinkpad-T420. And for both machine, checking the controller device under the IDE ATA/ATAPI Controllers section in Device Manager I see the driver has been updated to the latest version. I set the SATA controller to AHCI from BIOS On the desktop machine I have one WD 2TB BLACK & one WD 3TB Green I don’t use RAID, & no chance of using in near future, but according to Intel IRST improves performance in single disk scenario too. Now I have the following questions – What is the actual purpose of IRST (pre-OS install) driver that doesn’t get served with a post-OS driver that I installed? There must be some difference, otherwise there wouldn’t be a pre-OS version of the driver. Right? In the pre-OS procedure (loading the drivers at OS-installation time) after successfully completing the OS installation, do I need that post-OS driver? Because after installing from that one I got a quick launch icon that runs the IRST configuration application. Where do get that after installing the pre-OS driver? As it is “pre-OS”, when I load it at OS-installation time, does it updates anything at BIOS level or anywhere other than HDD? That’s because I’m going to dual boot Windows 7 with Windows 8.1, and after installing Windows 7 when I install Windows 8.1 & load the IRST driver for that, is there any chance of any “overwriting” or OS-incompatibility? In short, is there anything specific to follow while installing the second OS?

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  • Drobo FS vs Lime Technology unRAID vs FreeNAS

    - by elluca
    I already decided to by a drobo fs until I just found these two tests: http://www.digitalversus.com/data-robotics-drobo-fs-p889_9543_487.html http://www.digitalversus.com/lime-technology-unraid-p889_8992_473.html The two cons agains drobo for me: loudness price What disadvantages has the unraid stuff against the drobo fs? Has it also got that ease of use like swapping drives on the go, simply extend capacity by plugging in new drives, notify me of drive errors, disk failure protection, dynamic space of "partitions", better/worse effective capacity, etc. Which is more secure? Am I able to simply replace a bad drive with a new one on unraid? What happens if my pc fails? Lets say the cpu overheats. Since I have a complete pc which is going to be replaced, I only have to pay the software to use unraid. I am going to use my nas for: music library (how well does it integrate with iTunes? ) picture library movie library development (i need to be able to be to use time machine) I am going to use this nas with a MacBook pro. My current disks: 2x 500Gb 1x 1.5Tb 1x 2Tb On a drobo fs I would have 2.26 Tb of space. What would it be on unraid? Is FreeNAS also an alternative?

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  • General purpose physics engine

    - by Lucas
    Is there any general purpose physics engine that allows huge simulations of rigid bodies? I'm using PhysX from Nvidia, but the focus of this engine is game development, soft bodies. I want to know if exists physics engine that runs on top of PS3 cell processors or CUDA cores allowing massive scientific physics simulations.

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  • Best available technology for layered disk cache in linux

    - by SpliFF
    I've just bought a 6-core Phenom with 16G of RAM. I use it primarily for compiling and video encoding (and occassional web/db). I'm finding all activities get disk-bound and I just can't keep all 6 cores fed. I'm buying an SSD raid to sit between the HDD and tmpfs. I want to setup a "layered" filesystem where reads are cached on tmpfs but writes safely go through to the SSD. I want files (or blocks) that haven't been read lately on the SSD to then be written back to a HDD using a compressed FS or block layer. So basically reads: - Check tmpfs - Check SSD - Check HD And writes: - Straight to SSD (for safety), then tmpfs (for speed) And periodically, or when space gets low: - Move least frequently accessed files down one layer. I've seen a few projects of interest. CacheFS, cachefsd, bcache seem pretty close but I'm having trouble determining which are practical. bcache seems a little risky (early adoption), cachefs seems tied to specific network filesystems. There are "union" projects unionfs and aufs that let you mount filesystems over each other (USB device over a DVD usually) but both are distributed as a patch and I get the impression this sort of "transparent" mounting was going to become a kernel feature rather than a FS. I know the kernel has a built-in disk cache but it doesn't seem to work well with compiling. I see a 20x speed improvement when I move my source files to tmpfs. I think it's because the standard buffers are dedicated to a specific process and compiling creates and destroys thousands of processes during a build (just guessing there). It looks like I really want those files precached. I've read tmpfs can use virtual memory. In that case is it practical to create a giant tmpfs with swap on the SSD? I don't need to boot off the resulting layered filesystem. I can load grub, kernel and initrd from elsewhere if needed. So that's the background. The question has several components I guess: Recommended FS and/or block layer for the SSD and compressed HDD. Recommended mkfs parameters (block size, options etc...) Recommended cache/mount technology to bind the layers transparently Required mount parameters Required kernel options / patches, etc..

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  • General Purpose Language to build a compiler for

    - by Brownie
    Inspired by Eric Sink's interview on the stackoverflow podcast I would like to build a full compiler in my spare time for the learning experience. My initial thought was to build a C compiler but I'm not sure whether it would take too much time. I am wondering if there is a smaller general purpose language that would be more appropriate to implement as a first compiler effort? Or is a C implementation doable on a reasonable timescale (200 hrs)? It is my intention to target the CLR.

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  • Podcast Focusing on XNA or Game/Graphics Programming in General

    - by Daniel Brotherston
    I realize there are a number of podcast related questions, but I'm specifically looking for XNA oriented podcasts. I've Googled around a little bit, but I have been unable to find any current podcasts. I'm just wondering if anyone else knows of any interesting ones. I'd guess if Google can't find them, they don't exist but I thought I'd ask anyways. Also, failing that, podcasts about game development in general would be interesting as well. Thanks!

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  • Technology behind twilio

    - by John Stewart
    I wanted to discuss the technology behind Twilio. I have been playing around with the service for a few days now and it is simply mind-blowing. While I don't have a direct need for it right now, I am curious to find the back-end of the technology. So can anyone shed some thoughts on how does Twilio do its magic?

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  • How do games move around objects (in general)

    - by user146780
    I'm sure there's not just 1 answer to this but, do game engines actually change the vectors in memory, or use gltransformations? Because pushing and popping the matrix all the time seems inefficient, but if you keep modifying the verticies you cant make use of display lists. So I'm wondering how it's done in general. Thanks

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  • General advice from people in the industry - new graduate

    - by confusified
    I'm 20 years old and have just finished a 4 year Information Technology degree in Ireland, The main focus of the course was programming (mainly java) and software engineering. My question (posted in the wrong place as it may be) is : What technologies that I may not have studied should I attempt to teach myself that will be of the most benefit to me in searching for employment? All input appreciated.

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  • How do games move around objects (in general) (OGL)

    - by user146780
    I'm sure there's not just 1 answer to this but, do game engines actually change the vectors in memory, or use gltransformations? Because pushing and popping the matrix all the time seems inefficient, but if you keep modifying the verticies you cant make use of display lists. So I'm wondering how it's done in general. Thanks

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  • SQL SERVER – Concurrency Basics – Guest Post by Vinod Kumar

    - by pinaldave
    This guest post is by Vinod Kumar. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Working on various versions from SQL Server 7.0, Oracle 7.3 and other database technologies – he now works with the Microsoft Technology Center (MTC) as a Technology Architect. Let us read the blog post in Vinod’s own voice. Learning is always fun when it comes to SQL Server and learning the basics again can be more fun. I did write about Transaction Logs and recovery over my blogs and the concept of simplifying the basics is a challenge. In the real world we always see checks and queues for a process – say railway reservation, banks, customer supports etc there is a process of line and queue to facilitate everyone. Shorter the queue higher is the efficiency of system (a.k.a higher is the concurrency). Every database does implement this using checks like locking, blocking mechanisms and they implement the standards in a way to facilitate higher concurrency. In this post, let us talk about the topic of Concurrency and what are the various aspects that one needs to know about concurrency inside SQL Server. Let us learn the concepts as one-liners: Concurrency can be defined as the ability of multiple processes to access or change shared data at the same time. The greater the number of concurrent user processes that can be active without interfering with each other, the greater the concurrency of the database system. Concurrency is reduced when a process that is changing data prevents other processes from reading that data or when a process that is reading data prevents other processes from changing that data. Concurrency is also affected when multiple processes are attempting to change the same data simultaneously. Two approaches to managing concurrent data access: Optimistic Concurrency Model Pessimistic Concurrency Model Concurrency Models Pessimistic Concurrency Default behavior: acquire locks to block access to data that another process is using. Assumes that enough data modification operations are in the system that any given read operation is likely affected by a data modification made by another user (assumes conflicts will occur). Avoids conflicts by acquiring a lock on data being read so no other processes can modify that data. Also acquires locks on data being modified so no other processes can access the data for either reading or modifying. Readers block writer, writers block readers and writers. Optimistic Concurrency Assumes that there are sufficiently few conflicting data modification operations in the system that any single transaction is unlikely to modify data that another transaction is modifying. Default behavior of optimistic concurrency is to use row versioning to allow data readers to see the state of the data before the modification occurs. Older versions of the data are saved so a process reading data can see the data as it was when the process started reading and not affected by any changes being made to that data. Processes modifying the data is unaffected by processes reading the data because the reader is accessing a saved version of the data rows. Readers do not block writers and writers do not block readers, but, writers can and will block writers. Transaction Processing A transaction is the basic unit of work in SQL Server. Transaction consists of SQL commands that read and update the database but the update is not considered final until a COMMIT command is issued (at least for an explicit transaction: marked with a BEGIN TRAN and the end is marked by a COMMIT TRAN or ROLLBACK TRAN). Transactions must exhibit all the ACID properties of a transaction. ACID Properties Transaction processing must guarantee the consistency and recoverability of SQL Server databases. Ensures all transactions are performed as a single unit of work regardless of hardware or system failure. A – Atomicity C – Consistency I – Isolation D- Durability Atomicity: Each transaction is treated as all or nothing – it either commits or aborts. Consistency: ensures that a transaction won’t allow the system to arrive at an incorrect logical state – the data must always be logically correct.  Consistency is honored even in the event of a system failure. Isolation: separates concurrent transactions from the updates of other incomplete transactions. SQL Server accomplishes isolation among transactions by locking data or creating row versions. Durability: After a transaction commits, the durability property ensures that the effects of the transaction persist even if a system failure occurs. If a system failure occurs while a transaction is in progress, the transaction is completely undone, leaving no partial effects on data. Transaction Dependencies In addition to supporting all four ACID properties, a transaction might exhibit few other behaviors (known as dependency problems or consistency problems). Lost Updates: Occur when two processes read the same data and both manipulate the data, changing its value and then both try to update the original data to the new value. The second process might overwrite the first update completely. Dirty Reads: Occurs when a process reads uncommitted data. If one process has changed data but not yet committed the change, another process reading the data will read it in an inconsistent state. Non-repeatable Reads: A read is non-repeatable if a process might get different values when reading the same data in two reads within the same transaction. This can happen when another process changes the data in between the reads that the first process is doing. Phantoms: Occurs when membership in a set changes. It occurs if two SELECT operations using the same predicate in the same transaction return a different number of rows. Isolation Levels SQL Server supports 5 isolation levels that control the behavior of read operations. Read Uncommitted All behaviors except for lost updates are possible. Implemented by allowing the read operations to not take any locks, and because of this, it won’t be blocked by conflicting locks acquired by other processes. The process can read data that another process has modified but not yet committed. When using the read uncommitted isolation level and scanning an entire table, SQL Server can decide to do an allocation order scan (in page-number order) instead of a logical order scan (following page pointers). If another process doing concurrent operations changes data and move rows to a new location in the table, the allocation order scan can end up reading the same row twice. Also can happen if you have read a row before it is updated and then an update moves the row to a higher page number than your scan encounters later. Performing an allocation order scan under Read Uncommitted can cause you to miss a row completely – can happen when a row on a high page number that hasn’t been read yet is updated and moved to a lower page number that has already been read. Read Committed Two varieties of read committed isolation: optimistic and pessimistic (default). Ensures that a read never reads data that another application hasn’t committed. If another transaction is updating data and has exclusive locks on data, your transaction will have to wait for the locks to be released. Your transaction must put share locks on data that are visited, which means that data might be unavailable for others to use. A share lock doesn’t prevent others from reading but prevents them from updating. Read committed (snapshot) ensures that an operation never reads uncommitted data, but not by forcing other processes to wait. SQL Server generates a version of the changed row with its previous committed values. Data being changed is still locked but other processes can see the previous versions of the data as it was before the update operation began. Repeatable Read This is a Pessimistic isolation level. Ensures that if a transaction revisits data or a query is reissued the data doesn’t change. That is, issuing the same query twice within a transaction cannot pickup any changes to data values made by another user’s transaction because no changes can be made by other transactions. However, this does allow phantom rows to appear. Preventing non-repeatable read is a desirable safeguard but cost is that all shared locks in a transaction must be held until the completion of the transaction. Snapshot Snapshot Isolation (SI) is an optimistic isolation level. Allows for processes to read older versions of committed data if the current version is locked. Difference between snapshot and read committed has to do with how old the older versions have to be. It’s possible to have two transactions executing simultaneously that give us a result that is not possible in any serial execution. Serializable This is the strongest of the pessimistic isolation level. Adds to repeatable read isolation level by ensuring that if a query is reissued rows were not added in the interim, i.e, phantoms do not appear. Preventing phantoms is another desirable safeguard, but cost of this extra safeguard is similar to that of repeatable read – all shared locks in a transaction must be held until the transaction completes. In addition serializable isolation level requires that you lock data that has been read but also data that doesn’t exist. Ex: if a SELECT returned no rows, you want it to return no. rows when the query is reissued. This is implemented in SQL Server by a special kind of lock called the key-range lock. Key-range locks require that there be an index on the column that defines the range of values. If there is no index on the column, serializable isolation requires a table lock. Gets its name from the fact that running multiple serializable transactions at the same time is equivalent of running them one at a time. Now that we understand the basics of what concurrency is, the subsequent blog posts will try to bring out the basics around locking, blocking, deadlocks because they are the fundamental blocks that make concurrency possible. Now if you are with me – let us continue learning for SQL Server Locking Basics. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Concurrency

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