Search Results

Search found 340 results on 14 pages for 'rdbms'.

Page 9/14 | < Previous Page | 5 6 7 8 9 10 11 12 13 14  | Next Page >

  • zero downtime during database scheme upgrade on SQL 2008

    - by eject
    I have web application on IIS7 with SQL server 2008 as RDBMS. Need get 0 downtime during future upgrades of ASP.NET code and DB schema as well. I need to get right scenario for this. I have 2 web servers and 2 sql servers and one http load balancer whcih allows to switch web backend server for web requests. Main goal is to make 1st web server and DB server up and running, update code and db schema on 2nd server and then switch all the requests to 2nd server and then main problem - how to copy data from 1st database 2nd (which was changed during upgrade).

    Read the article

  • How do I populate multiple records of data into a PDF form like a mail-merge?

    - by user38801
    I have Acrobat Pro, and I have a PDF with a form on it. Assuming the fields in the form correspond to a data source (like rows in an RDBMS table or xml file), I want to then print multiple copies of the PDF file, with each copy having the values of a different row in the data source. It is preferable to directly interface with an actual database, rather than having to save an XML file every time I do this. If this involves programming that's cool too, I only posted here because the question didn't seem appropriate for StackOverflow. Thanks!

    Read the article

  • Is it safe to set MySQL isolation to "Read Uncommitted" (dirty reads) for typical Web usage? Even with replication?

    - by Continuation
    I'm working on a website with typical CRUD web usage pattern: similar to blogs or forums where users create/update contents and other users read the content. Seems like it's OK to set the database's isolation level to "Read Uncommitted" (dirty reads) in this case. My understanding of the general drawback of "Read Uncommitted" is that a reader may read uncommitted data that will later be rollbacked. In a CRUD blog/forum usage pattern, will there ever be any rollback? And even if there is, is there any major problem with reading uncommitted data? Right now I'm not using any replication, but in the future if I want to use replication (row-based, not statement-based) will a "Read Uncommitted" isolation level prevent me from doing so? What do you think? Has anyone tried using "Read Uncommitted" on their RDBMS?

    Read the article

  • Examples of temporal database designs? [closed]

    - by miku
    I'm researching various database design for historical record keeping - because I would like to implement a prototypical web application that (excessively) tracks changes made by users and let them undo things, see revisions, etc. I'd love use mercurial or git as backend (with files as records) - since they already implement the kind of append-only changes I imagine. I tried git and dulwich (python git API) - and it went ok - but I was concerned about performance; Bi-temporal database design lets you store a row along with time periods, when this record was valid. This sure sound more performant than to operate on files on disk (as in 1.) - but I had little luck finding real-world examples (e.g. from open source projects), that use this kind of design and are approachable enough to learn from them. Revisions à la MediaWiki revisions or an extra table for versions, as in Redmine. The problem here is, that DELETE would take the whole history with it. I looked at NoSQL solutions, too. With a document oriented approach, it would be simple to just store the whole history of an entity within the document itself - which would reduce design plus implementation time in contrast to a RDBMS approach. However, in this case I'm a bit concerned about ACID-properties, which would be important in the application. I'd like ask about experiences about real-world and pragmatic designs for temporal data.

    Read the article

  • Upgrade to 11.2.0.3 - OCM: ORA-12012 and ORA-29280

    - by Mike Dietrich
    OCM is the Oracle Configuration Manager, a tool to proactively monitor your Oracle environment to provide this information to Oracle Software Support. As OCM is installed by default in many databases but is some sort of independent from the database's version you won't expect any issues during or after a database upgrade But after the upgrade from Oracle 11.1.0.7 to Oracle 11.2.0.3 on Exadata X2-2 one of my customers found the following error in the alert.log every 24 hours: Errors in file /opt/oracle/diag/rdbms/db/trace/db_j001_26027.trc: ORA-12012: error on auto execute of job "ORACLE_OCM"."MGMT_CONFIG_JOB_2_1" ORA-29280: invalid directory path ORA-06512: at "ORACLE_OCM.MGMT_DB_LL_METRICS", line 2436 ORA-06512: at line 1 Why is that happening and how to solve that issue now? OCM is trying to write to a local directory which does not exist. Besides that the OCM version delivered with Oracle Database Patch Set 11.2.0.3 is older than the newest available OCM Collector 10.3.7 - the one which has that issue fixed. So you'll either drop OCM completely if you won't use it: SQL> drop user ORACLE_OCM cascade; or you'll disable the collector jobs: SQL> exec dbms_scheduler.disable('ORACLE_OCM.MGMT_CONFIG_JOB');SQL> exec dbms_scheduler.disable('ORACLE_OCM.MGMT_STATS_CONFIG_JOB'); or you'll have to reconfigure OCM - and please see MOS Note:1453959.1 for a detailed description how to do that - it's basically executing the script ORACLE_HOME/ccr/admin/scripts/installCCRSQL - but there maybe other things to consider especially in a RAC environment. - Mike

    Read the article

  • Faq and Best tips Regarding Learning Database ?

    - by AdityaGameProgrammer
    For a programmer with no prior exposure to databases What would be a good database to learn Oracle vs SQLserver vs MySQLvs PostgreSQL? I have come across lot of discussion MySQL and PostgreSQL and frankly I am confused on which to start with. Are these very different, in the sense if one had to switch, would the exposure to one be counter-productive to learning the other? Is working with databases heavily platform dependent? What exactly do people mean by Data base programming vs. administration? Do people chose databases based on the programming language used for the application developed? In general, Working with databases is it implicit that we work with some server? Does the choice of databases differ when it comes to game development? If so what factors does it differ by? What are the Best Tips that you have found to be useful when learning databases Edit: Some FAQ i had and found the same on SO What should every developer know about databases? Which database if learning from scratch in 2010? For a beginner, is there much difference between MySQL and PostgreSQL What RDBMS should I learn/use? (MySql/SQL Server/Oracle etc.) To what extent should a developer learn database? How are database programmers different from other programmers? what kind of database are used in games?

    Read the article

  • Suggested Web Application Framework and Database for Enterprise, “Big-Data” App?

    - by willOEM
    I have a web application that I have been developing for a small group within my company over the past few years, using Pipeline Pilot (plus jQuery and Python scripting) for web development and back-end computation, and Oracle 10g for my RDBMS. Users upload experimental genomic data, which is parsed into a database, and made available for querying, transformation, and reporting. Experimental data sets are large and have many layers of metadata. A given experimental data record might have a foreign key relationship with a table that describes this data point's assay. Assays can cover multiple genes, which can have multiple transcript, which can have multiple mutations, which can affect multiple signaling pathways, etc. Users need to approach this data from any point in those layers in the metadata. Since all data sets for a given data type can run over a billion rows, this results in some large, dynamic queries that are hard to predict. New data sets are added on a weekly basis (~1GB per set). Experimental data is never updated, but the associated metadata can be updated weekly for a few records and yearly for most others. For every data set insert the system sees, there will be between 10 and 100 selects run against it and associated data. It is okay for updates and inserts to run slow, so long as queries run quick and are as up-to-date as possible. The application continues to grow in size and scope and is already starting to run slower than I like. I am worried that we have about outgrown Pipeline Pilot, and perhaps Oracle (as the sole database). Would a NoSQL database or an OLAP system be appropriate here? What web application frameworks work well with systems like this? I'd like the solution to be something scalable, portable and supportable X-years down the road. Here is the current state of the application: Web Server/Data Processing: Pipeline Pilot on Windows Server + IIS Database: Oracle 10g, ~1TB of data, ~180 tables with several billion-plus row tables Network Storage: Isilon, ~50TB of low-priority raw data

    Read the article

  • Is there a way to track data structure dependencies from the database, through the tiers, all the way out to a web page?

    - by Sean Mickey
    When we design applications, we generally end up with the same tiered sets of data structures: A persistent data structure that is described using DDL and implemented as RDBMS tables and columns. A set of domain objects that consist primarily of data structures, usually combined with business-rule level logic, that are implemented in a programming language such as Java. A set of service layer interfaces that directly support use case implementations (which use the domain data structures as parameters), implemented as EJBs or something equivalent in another programming language. UI screens that allow users to C reate, R etrieve, U pdate, and (maybe) D elete all manner of data structures and graphs of data structures, with numerous screens and with multiple UI widgets, all structured to support the same data structures. But if you want to change the data structures in any of these tiers, it always seems extremely difficult to assess the impact(s) the change will have across the application. UML can help, but tracing through diagram after diagram is not a real solution to this problem. The best I have ever seen was a homespun data tracking spreadsheet document that listed all of the data structures and walked the relationships from tier-to-tier. Is there a tool or accepted approach that makes it easy to identify a data structure in any tier and easily obtain a list of all dependent: database table and column data structures domain object data structures service layer interface methods and parameter data structures screen & UI component data structures

    Read the article

  • Advise on career development [closed]

    - by Mike Young
    I am an amateur programmer working at a start-up. I didn't try coding at college. I've been working for 2 months now on web development. I'm satisfied with my progress. My project will go live soon. I work on front-end and my colleague integrates my work in his. So I decided to learn back-end technologies so that I would be able to work on a project from scratch, help my company build up. I recently got to know about the technologies used by fb and was fascinated to learn ,work on them,keep motivating myself. Now I want to work on building a product from scratch, be good at database concepts, a language like ruby or python, and get to know load balancing, dynamic requests from servers, hosting a website, real time communication, secured login, implementing sophisticated search feature for the app, using git by the end of the project.I would like to be a full stack developer in due course of time and learn everything in detail. I decide to keep myself out of time frame, learn every concept in detail.I would like to use both rdbms and non relational dbm for the project. I have no experience except some beginner knowledge in html5,css and JavaScript. I would like to get some advice on how to proceed forward step by step,flow what technologies to pick up and project idea which includes all the above.

    Read the article

  • Formatting Keywords to UPPERCASE In Oracle SQL Developer

    - by thatjeffsmith
    I received this question from a customer today, and it took me more than a few minutes to remember where this preference was located in SQL Developer. This tells me that the topic is ripe for blogging How do I go FROM: select * from scott.emp where ename like '%JEFF%' TO SELECT * FROM scott.emp WHERE ename LIKE '%JEFF%' It’s all in the formatting You need to access the formatting preferences under the Tools menu. It takes a bit of navigating to get there, so bear with me: Tools Database SQL Formatter Oracle Formatting Click ‘Edit’ on the profile Other Case change: ‘Keywords Uppercase’ It’s easy to find once you know where to look? You can tell it to leave the case alone, upper everything, upper only the keywords, lower everything. Accessing the Formatter Options We allow separate formatting options for different RDBMS. You need to make sure you’re accessing the ‘Oracle Formatting’ page in the preferences. You can then choose to edit the default options OR you can do what I have done – save the defaults as a new set of options. I’ve called my profile ‘JeffCustom.’ I can now switch back and forth now through different sets of formatting options. You need to hit the ‘Edit’ button to get to the formatting options editor. A good number of people seem to miss this. Select your profile, then hit the ‘Edit’ button

    Read the article

  • Big Data – Learning Basics of Big Data in 21 Days – Bookmark

    - by Pinal Dave
    Earlier this month I had a great time to write Bascis of Big Data series. This series received great response and lots of good comments I have received, I am going to follow up this basics series with further in-depth series in near future. Here is the consolidated blog post where you can find all the 21 days blog posts together. Bookmark this page for future reference. Big Data – Beginning Big Data – Day 1 of 21 Big Data – What is Big Data – 3 Vs of Big Data – Volume, Velocity and Variety – Day 2 of 21 Big Data – Evolution of Big Data – Day 3 of 21 Big Data – Basics of Big Data Architecture – Day 4 of 21 Big Data – Buzz Words: What is NoSQL – Day 5 of 21 Big Data – Buzz Words: What is Hadoop – Day 6 of 21 Big Data – Buzz Words: What is MapReduce – Day 7 of 21 Big Data – Buzz Words: What is HDFS – Day 8 of 21 Big Data – Buzz Words: Importance of Relational Database in Big Data World – Day 9 of 21 Big Data – Buzz Words: What is NewSQL – Day 10 of 21 Big Data – Role of Cloud Computing in Big Data – Day 11 of 21 Big Data – Operational Databases Supporting Big Data – RDBMS and NoSQL – Day 12 of 21 Big Data – Operational Databases Supporting Big Data – Key-Value Pair Databases and Document Databases – Day 13 of 21 Big Data – Operational Databases Supporting Big Data – Columnar, Graph and Spatial Database – Day 14 of 21 Big Data – Data Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21 Big Data – Interacting with Hadoop – What is PIG? – What is PIG Latin? – Day 16 of 21 Big Data – Interacting with Hadoop – What is Sqoop? – What is Zookeeper? – Day 17 of 21 Big Data – Basics of Big Data Analytics – Day 18 of 21 Big Data – How to become a Data Scientist and Learn Data Science? – Day 19 of 21 Big Data – Various Learning Resources – How to Start with Big Data? – Day 20 of 21 Big Data – Final Wrap and What Next – Day 21 of 21 Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

    Read the article

  • How I Work: A Cloud Developer's Workstation

    - by BuckWoody
    I've written here a little about how I work during the day, including things like using a stand-up desk (still doing that, by the way). Inspired by a Twitter conversation yesterday, I thought I might explain how I set up my computing environment. First, a couple of important points. I work in Cloud Computing, specifically (but not limited to) Windows Azure. Windows Azure has features to run a Virtual Machine (IaaS), run code without having to control a Virtual Machine (PaaS) and use databases, video streaming, Hadoop and more (a kind of SaaS for tech pros). As such, my designs run the gamut of on-premises, VM's in the Cloud, and software that I write for a platform. I focus on data primarily, meaning that I design a lot of systems that use an RDBMS (like SQL Server or Windows Azure Databases) or a NoSQL approach (MongoDB on Azure or large-scale Key-Value Pairs in Table storage) and even Hadoop and R, and also Cloud Numerics in F#. All that being said, those things inform my choices below. Hardware I have a Lenovo X220 tablet/laptop which I really like a great deal - it's a light, tough, extremely fast system. When I travel, that's the system I take. It has 8GB of RAM, and an SSD drive. I sometimes use that to develop or work at a client's site, on the road, or in the living room when I'm not in my home office. My main system is a GateWay DX430017 - I've maxed it out on RAM, and I have two 1TB drives in it. It's not only my workstation for work; I leave it on all the time and it streams our videos, music and books. I have about 3400 e-books, and I've just started using Calibre to stream the library. I run Windows 8 on it so I can set up Hyper-V images, since Windows Azure allows me to move regular Hyper-V disks back and forth to the Cloud. That's where all my "servers" are, when I have to use an IaaS approach. The reason I use a desktop-style system rather than a laptop only approach is that a good part of my job is setting up architectures to solve really big, complex problems. That means I have to simulate entire networks on-premises, along with the Hybrid Cloud approach I use a lot. I need a lot of disk space and memory for that, and I use two huge monitors on my stand-up desk. I could probably use 10 monitors if I had the room for them. Also, since it's our home system as well, I leave it on all the time and it doesn't travel.   Software For the software for my systems, it's important to keep in mind that I not only write code, but I design databases, teach, present, and create Linux and other environments. Windows 8 - While the jury is out for me on the new interface, the context-sensitive search, integrated everything, and speed is just hands-down the right choice. I've evaluated a server OS, Linux, even an Apple, but I just am not as efficient on those as I am with Windows 8. Visual Studio Ultimate - I develop primarily in .NET (C# and F# mostly) and I use the Team Foundation Server in the cloud, and I'm asked to do everything from UI to Services, so I need everything. Windows Azure SDK, Windows Azure Training Kit - I need the first to set up my Azure PaaS coding, and the second has all the info I need for PaaS, IaaS and SaaS. This is primarily how I get paid. :) SQL Server Developer Edition - While I might install Oracle, MySQL and Postgres on my VM's, the "outside" environment is SQL Server for an RDBMS. I install the Developer Edition because it has the same features as Enterprise Edition, and comes with all the client tools and documentation. Microsoft Office -  Even if I didn't work here, this is what I would use. I've just grown too accustomed to doing business this way to change, so my advice is always "use what works", and this does. The parts I use are: OneNote (and a Math Add-in) - I do almost everything - and I mean everything in OneNote. I can code, do high-end math, present, design, collaborate and more. All my notebooks are on my Skydrive. I can use them from any system, anywhere. If you take the time to learn this program, you'll be hooked. Excel with PowerPivot - Don't make that face. Excel is the world's database, and every Data Scientist I know - even the ones where I teach at the University of Washington - know it, use it, and love it.  Outlook - Primary communications, CRM and contact tool. I have all of my social media hooked up to it, so when I get an e-mail from you, I see everything, see all the history we've had on e-mail, find you on a map and more. Lync - I was fine with LiveMeeting, although it has it's moments. For me, the Lync client is tres-awesome. I use this throughout my day, present on it, stay in contact with colleagues and the folks on the dev team (who wish I didn't have it) and more.  PowerPoint - Once again, don't make that face. Whenever I see someone complaining about PowerPoint, I have 100% of the time found they don't know how to use it. If you suck at presenting or creating content, don't blame PowerPoint. Works great on my machine. :) Zoomit - Magnifier - On Windows 7 (and 8 as well) there's a built-in magnifier, but I install Zoomit out of habit. It enlarges the screen. If you don't use one of these tools (or their equivalent on some other OS) then you're presenting/teaching wrong, and you should stop presenting/teaching until you get them and learn how to show people what you can see on your tiny, tiny monitor. :) Cygwin - Unix for Windows. OK, that's not true, but it's mostly that. I grew up on mainframes and Unix (IBM and HP, thank you) and I can't imagine life without  sed, awk, grep, vim, and bash. I also tend to take a lot of the "Science" and "Development" and "Database" packages in it as well. PuTTY - Speaking of Unix, when I need to connect to my Linux VM's in Windows Azure, I want to do it securely. This is the tool for that. Notepad++ - Somewhere between torturing myself in vim and luxuriating in OneNote is Notepad++. Everyone has a favorite text editor; this one is mine. Too many features to name, and it's free. Browsers - I install Chrome, Firefox and of course IE. I know it's in vogue to rant on IE, but I tend to think for myself a great deal, and I've had few (none) problems with it. The others I have for the haterz that make sites that won't run in IE. Visio - I've used a lot of design packages, but none have the extreme meta-data edit capabilities of Visio. I don't use this all the time - it can be rather heavy, but what it does it does really well. I also present this way when I'm not using PowerPoint. Yup, I just bring up Visio and diagram away as I'm chatting with clients. Depending on what we're covering, this can be the right tool for that. Tweetdeck - The AIR one, not that new disaster they came out with. I live on social media, since you, dear readers, are my cube-mates. When I get tired of you all, I close Tweetdeck. When I need help or someone needs help from me, or if I want to see a picture of a cat while I'm coding, I bring it up. It's up most all day and night. Windows Media Player - I listen to Trance or Classical when I code, and I find music managers overbearing and extra. I just use what comes in the box, and it works great for me. R - F# and Cloud Numerics now allows me to load in R libraries (yay!) and I use this for statistical work on big data loads. Microsoft Math - One of the most amazing, free, rich, amazing, awesome, amazing calculators out there. I get the 64-bit version for quick math conversions, plots and formula-checks. Python - I know, right? Who knew that the scientific community loved Python so much. But they do. I use 2.7; not as much runs with 3+. I also use IronPython in Visual Studio, or I edit in Notepad++ Camstudio recorder - Windows PSR - In much of my training, and all of my teaching at the UW, I need to show a process on a screen. Camstudio records screen and voice, and it's free. If I need to make static training, I use the Windows PSR tool that's built right in. It's ostensibly for problem duplication, but I use it to record for training.   OK - your turn. Post a link to your blog entry below, and tell me how you set your system up.  

    Read the article

  • emca fails with "Database instance is unavailable" though available

    - by Giri Mandalika
    The following example shows the symptoms of failure, and the exact error message. $ emca -repos create ... Password for SYSMAN user: Do you wish to continue? [yes(Y)/no(N)]: Y Nov 19, 2012 10:33:42 AM oracle.sysman.emcp.DatabaseChecks \ checkDbAvailabilityImpl WARNING: ORA-01034: ORACLE not available Nov 19, 2012 10:33:42 AM oracle.sysman.emcp.DatabaseChecks \ throwDBUnavailableException SEVERE: Database instance is unavailable. Fix the ORA error thrown and run EM Configuration Assistant again. Some of the possible reasons may be : 1) Database may not be up. 2) Database is started setting environment variable ORACLE_HOME with trailing '/'. Reset ORACLE_HOME and bounce the database. For eg. Database is started setting environment variable ORACLE_HOME=/scratch/db/ . Reset ORACLE_HOME=/scratch/db and bounce the database. Fix: Ensure that the ORACLE_HOME is pointing to the right location in $ORACLE_HOME/bin/emca file. Rather than installing from scratch, if ORACLE_HOME was copied over from another location, likely it results in wrong location for ORACLE_HOME in several Enterprise Manager (EM) specific scripts and files. It usually happens when the directory structure on the target machine is not identical to the structure on the original/source machine, including the top level directory location where Oracle RDBMS was installed properly using the installer.

    Read the article

  • Is the Cloud ready for an Enterprise Java web application? Seeking a JEE hosting advice.

    - by Jakub Holý
    Greetings to all the smart people around here! I'd like to ask whether it is feasible or a good idea at all to deploy a Java enterprise web application to a Cloud such as Amazon EC2. More exactly, I'm looking for infrastructure options for an application that shall handle few hundred users with long but neither CPU nor memory intensive sessions. I'm considering dedicated servers, virtual private servers (VPSs) and EC2. I've noticed that there is a project called JBoss Cloud so people are working on enabling such a deployment, on the other hand it doesn't seem to be mature yet and I'm not sure that the cloud is ready for this kind of applications, which differs from the typical cloud-based applications like Twitter. Would you recommend to deploy it to the cloud? What are the pros and cons? The application is a Java EE 5 web application whose main function is to enable users to compose their own customized Product by combining the available Parts. It uses stateless and stateful session beans and JPA for persistence of entities to a RDBMS and fetches information about Parts from the company's inventory system via a web service. Aside of external users it's used also by few internal ones, who are authenticated against the company's LDAP. The application should handle around 300-400 concurrent users building their product and should be reasonably scalable and available though these qualities are only of a medium importance at this stage. I've proposed an architecture consisting of a firewall (FW) and load balancer supporting sticky sessions and https (in the Cloud this would be replaced with EC2's Elastic Load Balancing service and FW on the app. servers, in a physical architecture the load-balancer would be a HW), then two physical clustered application servers combined with web servers (so that if one fails, a user doesn't loose his/her long built product) and finally a database server. The DB server would need a slave backup instance that can replace the master instance if it fails. This should provide reasonable availability and fault tolerance and provide good scalability as long as a single RDBMS can keep with the load, which should be OK for quite a while because most of the operations are done in the memory using a stateful bean and only occasionally stored or retrieved from the DB and the amount of data is low too. A problematic part could be the dependency on the remote inventory system webservice but with good caching of its outputs in the application it should be OK too. Unfortunately I've only vague idea of the system resources (memory size, number and speed of CPUs/cores) that such an "average Java EE application" for few hundred users needs. My rough and mostly unfounded estimate based on actual Amazon offerings is that 1.7GB and a single, 2-core "modern CPU" with speed around 2.5GHz (the High-CPU Medium Instance) should be sufficient for any of the two application servers (since we can handle higher load by provisioning more of them). Alternatively I would consider using the Large instance (64b, 7.5GB RAM, 2 cores at 1GHz) So my question is whether such a deployment to the cloud is technically and financially feasible or whether dedicated/VPS servers would be a better option and whether there are some real-world experiences with something similar. Thank you very much! /Jakub Holy PS: I've found the JBoss EAP in a Cloud Case Study that shows that it is possible to deploy a real-world Java EE application to the EC2 cloud but unfortunately there're no details regarding topology, instance types, or anything :-(

    Read the article

  • Technology stack for CRUD apps [closed]

    - by Panoy
    In the past years, I have been using VB6 + MySQL when developing CRUD applications. Now I am currently learning how to develop web applications, as my plan is to go through the "browser/web app" path every time I build a CRUD app. I'm leaning on Ruby on Rails + MySQL/PostgreSQL/any NoSQL database now. I would like to know what other technology/tools stack to include in my architecture when developing these web apps? I'm asking your inputs with regards to the UI, database and reporting stack/toolset. Currently I have these in mind: UI = jQuery, jQueryUI (add your comments for other good UI stack) database = will be considering NoSQL or simply but RDBMS reporting tool = i'm clueless here Will it also make sense to use NoSQL database on these CRUD applications? I am assuming that the data would balloon later on. The desktop/native app route is an option only if there is a requirement, that in my limited experience, believes that a web app can't solve. Like for example those imaging apps/document forms and point-of-sale systems. I believe that web apps are gaining ground now and I find it most fun and intriguing to play and experiment with them. Please share your suggestions!

    Read the article

  • How to factor out data layer in nopCommerce and replace MS SQL with RavenDB?

    - by Kaveh Shahbazian
    I am new to nopCommerce and ecommerce in general but I am involved in an ecommerce project. Now from my past experiences with RavenDB (which mostly were absolutely pleasant) and based on the needs of the business (fast changes with awkward business workflows) It seemed to be an appealing option to have RavenDB handling all sort of things related to the database. I do not understand design and architecture of nopCommerce fully so I did not reach to a conclusion on how to factor data parts, since it seems the services layer actually does not abstract data-layer concepts away; like bringing in EF working model to other layers. I have found another project which used NuDB as it's database as a nopCommerce fork. But it did not help because NuDB still has the feeling of a RDBMS and is not as different as RavenDB. Now first how can I learn about the internals of nopCommerce (other than investigating the code)? It's workflows? It's conventions? Second has anyone tried something similar before with a NoSQL database (say like MongoDB or RavenDB)? Is it possible to achieve this in a 1 (~2) month time frame? Thanks in advance;

    Read the article

  • Versioning millions of files with distributed SCM

    - by C. Lawrence Wenham
    I'm looking into the feasibility of using off-the-shelf distributed SCMs such as Git or Mercurial to manage millions of XML files. Each file would be a commercial transaction, such as a purchase order, that would be updated perhaps 10 times during the lifecycle of the transaction until it is "done" and changes no more. And by "manage", I mean that the SCM would be used to not just version the files, but also to replicate them to other machines for redundancy and transfer of IP. Lets suppose, for the sake of example, that a goal is to provide good performance if it was handling the volume of orders that Amazon.com claimed to have at its peak in December 2010: about 150,000 orders per minute. We're expecting the system to be distributed over many servers in order to get reasonable performance. We're also planning to use solid-state drives exclusively. There is a reason why we don't want to use an RDBMS for primary storage, but it's a bit beyond the scope of this question. Does anyone have first-hand experience with the performance of distributed SCMs under such a load, and what strategies were used? Open-source preferred, since the final product is to be FOSS, too.

    Read the article

  • Architecture advice for converting biz app from old school to new school?

    - by Aaron Anodide
    I've got a WinForms business application that evolved over the past few years. It's forms over data with a number custom UI experiences taylored to the business, so I don't think it's a candidate to port to something like SharePoint or re-write in LightSwitch (at least not without significant investment). When I started it in 2009 I was new to this type of development (coming from more low level programming and my RDBMS knowledge was just slightly greater than what I got from school). Thus, when I was confronted with a business model that operates on a strict monthly accounting cycle, I made the unfortunate decision to create a separate database for each accounting period. Also, when I started I knew DataSets, then I learned Linq2Sql, then I learned EntityFramework. The screens are a mix and match of those. Now, after a few years developing this thing by myself I've finally got a small team. Ultimately, I want a web front end (for remote access to more straight up screens with grids of data) and a thick client (for the highly customized interfaces). My question is: can you offer me some broad strokes architecture advice that will help me formulate a battle plan to convert over to a single database and lay the foundations for my future goals at the same time? Here's a screen shot showing how an older screen uses DataSets and a newer screen uses EF (I'm thinking this might make it more real for someone reading the question - I'm willing to add any amount of detail if someone is willing to help).

    Read the article

  • Where to store global enterprise properties?

    - by shylynx
    I'm faced with a crowd of java applications, which need different global enterprise wide properties for operation, for example: hostname of the central RDBMS, hostname and location of the central self-service portal, host location of central LDAP, host location of central mail server etc. Formally we build each application with a properties file, where all this properties are definied. But that's a very bad solution, because if the hostname of the mail server changes, we need to change the properties files for each application and deploy all applications again. Our idea is to centralize this properties, so that each application can ask for each property at runtime, for example: Idea: Put the properties file to an easy accessible file share. So if we need to change a property, each application uses the new properties. Idea: Put the properties to database. Main disadvantage: we need a dependency to database client libraries for each application. Idea: Put all applications into one big application server, that provides system properties for each application. Main disadvantage: needs deployment of each application to one application server. But that isn't a realistic scenario. Idea: Webservice that provides global enterprise wide properties. Main disadvantage: not very secure, because some properties are passwords or user credentials. What other alternatives are recommended? What is state of the art?

    Read the article

  • Introducing Oracle Multitenant

    - by OracleMultitenant
    0 0 1 1142 6510 Oracle Corporation 54 15 7637 14.0 Normal 0 false false false EN-US JA X-NONE /* 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-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-language:JA;} The First Database Designed for the Cloud Today Oracle announced the general availability (GA) of Oracle Database 12c, the first database designed for the Cloud. Oracle Multitenant, new with Oracle Database 12c, is a key component of this – a new architecture for consolidating databases and simplifying operations in the Cloud. With this, the inaugural post in the Multitenant blog, my goal is to start the conversation about Oracle Multitenant. We are very proud of this new architecture, which we view as a major advance for Oracle. Customers, partners and analysts who have had previews are very excited about its capabilities and its flexibility. This high level review of Oracle Multitenant will touch on our design considerations and how we re-architected our database for the cloud. I’ll briefly describe our new multitenant architecture and explain it’s key benefits. Finally I’ll mention some of the major use cases we see for Oracle Multitenant. Industry Trends We always start by talking to our customers about the pressures and challenges they’re facing and what trends they’re seeing in the industry. Some things don’t change. They face the same pressures and the same requirements as ever: Pressure to do more with less; be faster, leaner, cheaper, and deliver services 24/7. Big companies have achieved scale. Now they want to realize economies of scale. As ever, DBAs are faced with the challenges of patching and upgrading large numbers of databases, and provisioning new ones.  Requirements are familiar: Performance, scalability, reliability and high availability are non-negotiable. They need ever more security in this threatening climate. There’s no time to stop and retool with new applications. What’s new are the trends. These are the techniques to use to respond to these pressures within the constraints of the requirements. With the advent of cloud computing and availability of massively powerful servers – even engineered systems such as Exadata – our customers want to consolidate many applications into fewer larger servers. There’s a move to standardized services – even self-service. Consolidation Consolidation is not new; companies have tried various different approaches to consolidation of databases in the cloud. One approach is to partition a powerful server between several virtual machines, one per application. A downside of this is that you have the resource and management overheads of OS and RDBMS per VM – that is, per application. Another is that you have replaced physical sprawl with virtual sprawl and virtual sprawl is still expensive to manage. In the dedicated database model, we have a single physical server supporting multiple databases, one per application. So there’s a shared OS overhead, but RDBMS process and memory overhead are replicated per application. Let's think about our traditional Oracle Database architecture. Every time we create a database, be it a production database, a development or a test database, what do we do? We create a set of files, we allocate a bunch of memory for managing the data, and we kick off a series of background processes. This is replicated for every one of the databases that we create. As more and more databases are fired up, these replicated overheads quickly consume the available server resources and this limits the number of applications we can run on any given server. In Oracle Database 11g and earlier the highest degree of consolidation could be achieved by what we call schema consolidation. In this model we have one big server with one big database. Individual applications are installed in separate schemas or table-owners. Database overheads are shared between all applications, which affords maximum consolidation. The shortcomings are that application changes are often required. There is no tenant isolation. One bad apple can spoil the whole batch. New Architecture & Benefits In Oracle Database 12c, we have a new multitenant architecture, featuring pluggable databases. This delivers all the resource utilization advantages of schema consolidation with none of the downsides. There are two parts to the term “pluggable database”: "pluggable", which is new, and "database", which is familiar.  Before we get to the exciting new stuff let’s discuss what hasn’t changed. A pluggable database is a fully functional Oracle database. It’s not watered down in any way. From the perspective of an application or an end user it hasn’t changed at all. This is very important because it means that no application changes are required to adopt this new architecture. There are many thousands of applications built on Oracle databases and they are all ready to run on Oracle Multitenant. So we have these self-contained pluggable databases (PDBs), and as their name suggests, they are plugged into a multitenant container database (CDB). The CDB behaves as a single database from the operations point of view. Very much as we had with the schema consolidation model, we only have a single set of Oracle background processes and a single, shared database memory requirement. This gives us very high consolidation density, which affords maximum reduction in capital expenses (CapEx). By performing management operations at the CDB level – “managing many as one” – we can achieve great reductions in operating expenses (OpEx) as well, but we retain granular control where appropriate. Furthermore, the “pluggability” capability gives us portability and this adds a tremendous amount of agility. We can simply unplug a PDB from one CDB and plug it into another CDB, for example to move it from one SLA tier to another. I'll explore all these new capabilities in much more detail in a future posting.  Use Cases We can identify a number of use cases for Oracle Multitenant. Here are a few of the major ones. 0 0 1 113 650 Oracle Corporation 5 1 762 14.0 Normal 0 false false false EN-US JA X-NONE /* 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-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-language:JA;} Development / Testing where individual engineers need rapid provisioning and recycling of private copies of a few "master test databases" Consolidation of disparate applications using fewer, more powerful servers Software as a Service deploying separate copies of identical applications to individual tenants Database as a Service typically self-service provisioning of databases on the private cloud Application Distribution from ISV / Installation by Customer Eliminating many typical installation steps (create schema, import seed data, import application code PL/SQL…) - just plug in a PDB! High volume data distribution literally via disk drives in envelopes distributed by truck! - distribution of things like GIS or MDM master databases …various others! Benefits Previous approaches to consolidation have involved a trade-off between reductions in Capital Expenses (CapEx) and Operating Expenses (OpEx), and they’ve usually come at the expense of agility. With Oracle Multitenant you can have your cake and eat it: Minimize CapEx More Applications per server Minimize OpEx Manage many as one Standardized procedures and services Rapid provisioning Maximize Agility Cloning for development and testing Portability through pluggability Scalability with RAC Ease of Adoption Applications run unchanged It’s a pure deployment choice. Neither the database backend nor the application needs to be changed. In future postings I’ll explore various aspects in more detail. However, if you feel compelled to devour everything you can about Oracle Multitenant this very minute, have no fear. Visit the Multitenant page on OTN and explore the various resources we have available there. Among these, Oracle Distinguished Product Manager Bryn Llewellyn has written an excellent, thorough, and exhaustively detailed White Paper about Oracle Multitenant, which is available here.  Follow me  I tweet @OraclePDB #OracleMultitenant

    Read the article

  • Today's Links (6/27/2011)

    - by Bob Rhubart
    2011 Entrepreneurs of the Year, Northern California Region Drake Martinet reports on the new batch of entrepreneurs joining the ranks of Oracle CEO Larry Ellison, Yahoo CEO Carol Bartz and eBay co-founder Pierre Omidyar as the Norther California Region winners of Ernst & Young's Entrepreneurs of the Year awards. Technical Article: Caching Strategies for Oracle Service Bus 11g William Markito Oliveira illustrates how the right caching strategy can make a big difference in application performance. Kscope 11 - Day 1 and 2 Oracle ACE Director Markus Eisele checks in from Long Beach. Kaleidoscope 2011: Sunday’s Symposium And so does Oracle ACE Director Marco Gralike. Yet another GlassFish 3.1.1 promoted build | The Aquarium "This version was carefully designed to be highly compatible with the previous 3.x versions," says Alexis, "thus leaving you with little reasons not to upgrade as soon as it comes out this summer." Using NoSQL database in your Java EE 6 Applications on GlassFish - MongoDB for now! "The NoSQL databases are not intended to be a replacement for the mainstream RDBMS," says Arun Gupta. I have a performance problem | Alan Hargreaves Good (and entertaining) advice from an Australian Solaris and Network Domain TSC* Principal Field Technologist.

    Read the article

  • Enforcing Constraints Upon Data Documents of Various Formats

    - by Christopher Berman
    This seems like the sort of problem that must have been solved elegantly long ago, but I haven't the foggiest how to google it and find it. Suppose you're maintaining a large legacy system, which has a large collection of data (tens of GB) of various formats, including XML and two different internal configuration formats. Suppose further that there are abstract rules governing the values these files may or may not contain. EXAMPLE: File A defines the raw, mathematical data pertaining to the aerodynamics of a car for consumption of the physics component of the system. File B contains certain values from File A in an easily accessible, XML hierarchy for consumption of a different component of the system. There exists, therefore, an abstract rule (or constraint) such that the values from File B must match the values from File A. This is probably the simplest constraint that can be specified, but in practice, the constraints between files can become very complicated indeed. What is the best method for managing these constraints between files of arbitrary formats, short of migrating it over to an RDBMS (which simply isn't feasible for the foreseeable future)? Has this problem been solved already? To be more specific, I would expect the solution to at least produce notifications of violated constraints; the solution need not resolve the constraints. ============================== Sample file structures File A (JeepWrangler2011.emv): MODEL JeepWrangler2011 { EsotericMathValueX 11.1 EsotericMathValueY 22.2 EsotericMathValueZ 33.3 } File B (JeepWrangler2011.xml): <model name="JeepWrangler2011"> <!--These values must correspond File A's EsotericMathValues--> <modelExtent x="11.1" y="22.2" z="33.3"/> [...] </model>

    Read the article

  • implementing dynamic query handler on historical data

    - by user2390183
    EDIT : Refined question to focus on the core issue Context: I have historical data about property (house) sales collected from various sources in a centralized/cloud data source (assume info collection is handled by a third party) Planning to develop an application to query and retrieve data from this centralized data source Example Queries: Simple : for given XYZ post code, what is average house price for 3 bed room house? Complex: What is estimated price for an house at "DD,Some Street,XYZ Post Code" (worked out from average values of historic data filtered by various characteristics of the house: house post code, no of bed rooms, total area, and other deeper insights like house building type, year of built, features)? In addition to average price, the application should support other property info ** maximum, or minimum price..etc and trend (graph) on a selected property attribute over a period of time**. Hence, the queries should not enforce the search based on a primary key or few fixed fields In other words, queries can be What is the change in 3 Bed Room house price (irrespective of location) over last 30 days? What kind of properties we can get for X price (irrespective of location or house type) The challenge I have is identifying the domain (BI/ Data Analytical or DB Design or DB Query Interface or DW related or something else) this problem (dynamic query on historic data) belong to, so that I can do further exploration My findings so far I could be wrong on the following, so please correct me if you think so I briefly read about BI/Data Analytics - I think it is heavy weight solution for my problem and has scalability issues. DB Design - As I understand RDBMS works well if you know Data model at design time. I am expecting attributes about property or other entity (user) that am going to bring in, would evolve quickly. hence maintenance would be an issue. As I am going to have multiple users executing query at same time, performance would be a bottleneck Other options like Graph DB (http://www.tinkerpop.com/) seems to be bit complex (they are good. but using those tools meant for generic purpose, make me think like assembly programming to solve my problem ) BigData related solution are to analyse data from multiple unrelated domains So, Any suggestion on the space this problem fit in ? (Especially if you have design/implementation experience of back-end for property listing or similar portals)

    Read the article

  • Exadata???DiskGroup

    - by Liu Maclean(???)
    Exadata???Asm Diskgroup ???????: 1.??dcli -g /home/oracle/cell_group -l root cellcli -e list griddisk ????active?griddisk [root@dm01db01 ~]# dcli -g /home/oracle/cell_group -l root cellcli -e list griddisk dm01cel01: DATA_DM01_CD_00_dm01cel01 active dm01cel01: DATA_DM01_CD_01_dm01cel01 active dm01cel01: DATA_DM01_CD_02_dm01cel01 active dm01cel01: DATA_DM01_CD_03_dm01cel01 active dm01cel01: DATA_DM01_CD_04_dm01cel01 active dm01cel01: DATA_DM01_CD_05_dm01cel01 active dm01cel01: DATA_DM01_CD_06_dm01cel01 active dm01cel01: DATA_DM01_CD_07_dm01cel01 active dm01cel01: DATA_DM01_CD_08_dm01cel01 active dm01cel01: DATA_DM01_CD_09_dm01cel01 active dm01cel01: DATA_DM01_CD_10_dm01cel01 active dm01cel01: DATA_DM01_CD_11_dm01cel01 active dm01cel01: DBFS_DG_CD_02_dm01cel01 active dm01cel01: DBFS_DG_CD_03_dm01cel01 active dm01cel01: DBFS_DG_CD_04_dm01cel01 active dm01cel01: DBFS_DG_CD_05_dm01cel01 active dm01cel01: DBFS_DG_CD_06_dm01cel01 active dm01cel01: DBFS_DG_CD_07_dm01cel01 active dm01cel01: DBFS_DG_CD_08_dm01cel01 active dm01cel01: DBFS_DG_CD_09_dm01cel01 active dm01cel01: DBFS_DG_CD_10_dm01cel01 active dm01cel01: DBFS_DG_CD_11_dm01cel01 active dm01cel01: RECO_DM01_CD_00_dm01cel01 active dm01cel01: RECO_DM01_CD_01_dm01cel01 active dm01cel01: RECO_DM01_CD_02_dm01cel01 active dm01cel01: RECO_DM01_CD_03_dm01cel01 active dm01cel01: RECO_DM01_CD_04_dm01cel01 active dm01cel01: RECO_DM01_CD_05_dm01cel01 active dm01cel01: RECO_DM01_CD_06_dm01cel01 active dm01cel01: RECO_DM01_CD_07_dm01cel01 active dm01cel01: RECO_DM01_CD_08_dm01cel01 active dm01cel01: RECO_DM01_CD_09_dm01cel01 active dm01cel01: RECO_DM01_CD_10_dm01cel01 active dm01cel01: RECO_DM01_CD_11_dm01cel01 active dm01cel02: DATA_DM01_CD_00_dm01cel02 active dm01cel02: DATA_DM01_CD_01_dm01cel02 active dm01cel02: DATA_DM01_CD_02_dm01cel02 active dm01cel02: DATA_DM01_CD_03_dm01cel02 active dm01cel02: DATA_DM01_CD_04_dm01cel02 active dm01cel02: DATA_DM01_CD_05_dm01cel02 active dm01cel02: DATA_DM01_CD_06_dm01cel02 active dm01cel02: DATA_DM01_CD_07_dm01cel02 active dm01cel02: DATA_DM01_CD_08_dm01cel02 active dm01cel02: DATA_DM01_CD_09_dm01cel02 active dm01cel02: DATA_DM01_CD_10_dm01cel02 active dm01cel02: DATA_DM01_CD_11_dm01cel02 active dm01cel02: DBFS_DG_CD_02_dm01cel02 active dm01cel02: DBFS_DG_CD_03_dm01cel02 active dm01cel02: DBFS_DG_CD_04_dm01cel02 active dm01cel02: DBFS_DG_CD_05_dm01cel02 active dm01cel02: DBFS_DG_CD_06_dm01cel02 active dm01cel02: DBFS_DG_CD_07_dm01cel02 active dm01cel02: DBFS_DG_CD_08_dm01cel02 active dm01cel02: DBFS_DG_CD_09_dm01cel02 active dm01cel02: DBFS_DG_CD_10_dm01cel02 active dm01cel02: DBFS_DG_CD_11_dm01cel02 active dm01cel02: RECO_DM01_CD_00_dm01cel02 active dm01cel02: RECO_DM01_CD_01_dm01cel02 active dm01cel02: RECO_DM01_CD_02_dm01cel02 active dm01cel02: RECO_DM01_CD_03_dm01cel02 active dm01cel02: RECO_DM01_CD_04_dm01cel02 active dm01cel02: RECO_DM01_CD_05_dm01cel02 active dm01cel02: RECO_DM01_CD_06_dm01cel02 active dm01cel02: RECO_DM01_CD_07_dm01cel02 active dm01cel02: RECO_DM01_CD_08_dm01cel02 active dm01cel02: RECO_DM01_CD_09_dm01cel02 active dm01cel02: RECO_DM01_CD_10_dm01cel02 active dm01cel02: RECO_DM01_CD_11_dm01cel02 active dm01cel03: DATA_DM01_CD_00_dm01cel03 active dm01cel03: DATA_DM01_CD_01_dm01cel03 active dm01cel03: DATA_DM01_CD_02_dm01cel03 active dm01cel03: DATA_DM01_CD_03_dm01cel03 active dm01cel03: DATA_DM01_CD_04_dm01cel03 active dm01cel03: DATA_DM01_CD_05_dm01cel03 active dm01cel03: DATA_DM01_CD_06_dm01cel03 active dm01cel03: DATA_DM01_CD_07_dm01cel03 active dm01cel03: DATA_DM01_CD_08_dm01cel03 active dm01cel03: DATA_DM01_CD_09_dm01cel03 active dm01cel03: DATA_DM01_CD_10_dm01cel03 active dm01cel03: DATA_DM01_CD_11_dm01cel03 active dm01cel03: DBFS_DG_CD_02_dm01cel03 active dm01cel03: DBFS_DG_CD_03_dm01cel03 active dm01cel03: DBFS_DG_CD_04_dm01cel03 active dm01cel03: DBFS_DG_CD_05_dm01cel03 active dm01cel03: DBFS_DG_CD_06_dm01cel03 active dm01cel03: DBFS_DG_CD_07_dm01cel03 active dm01cel03: DBFS_DG_CD_08_dm01cel03 active dm01cel03: DBFS_DG_CD_09_dm01cel03 active dm01cel03: DBFS_DG_CD_10_dm01cel03 active dm01cel03: DBFS_DG_CD_11_dm01cel03 active dm01cel03: RECO_DM01_CD_00_dm01cel03 active dm01cel03: RECO_DM01_CD_01_dm01cel03 active dm01cel03: RECO_DM01_CD_02_dm01cel03 active dm01cel03: RECO_DM01_CD_03_dm01cel03 active dm01cel03: RECO_DM01_CD_04_dm01cel03 active dm01cel03: RECO_DM01_CD_05_dm01cel03 active dm01cel03: RECO_DM01_CD_06_dm01cel03 active dm01cel03: RECO_DM01_CD_07_dm01cel03 active dm01cel03: RECO_DM01_CD_08_dm01cel03 active dm01cel03: RECO_DM01_CD_09_dm01cel03 active dm01cel03: RECO_DM01_CD_10_dm01cel03 active dm01cel03: RECO_DM01_CD_11_dm01cel03 active ??????????griddisk, ?????’cellcli -e drop griddisk’ ?’cellcli -e create griddisk’????griddisk ,??????drop DBFS_DG???griddisk 2.??ASM???create disk group ?????CELL?IP,????????????? [root@dm01db02 ~]# cat /etc/oracle/cell/network-config/cellip.ora cell="192.168.64.131" cell="192.168.64.132" cell="192.168.64.133" SQL> create diskgroup DATA_MAC normal redundancy 2 DISK 3 'o/192.168.64.131/RECO_DM01_CD_*_dm01cel01' 4 ,'o/192.168.64.132/RECO_DM01_CD_*_dm01cel02' 5 ,'o/192.168.64.133/RECO_DM01_CD_*_dm01cel03' 6 attribute 7 'AU_SIZE'='4M', 8 'CELL.SMART_SCAN_CAPABLE'='TRUE', 9 'compatible.rdbms'='11.2.0.2', 10 'compatible.asm'='11.2.0.2' 11 / 3. MOUNT ???DISKGROUP ALTER DISKGROUP DATA_MAC mount ; 4.???crsctl start/stop resource ora.DATA_MAC.dg ?????

    Read the article

  • How do you keep down your urge to learn many things [closed]

    - by devsundar
    One of the difficulties i have is to lower my urge to learn new things (Languages, tools, frameworks etc.). I know it's good to stay the bleeding edge, but at the same time i want to learn things properly. I really see that i need to strike a balance between staying bleeding edge and knowing things properly. For example: Before choosing Arch (Desktop), Ubuntu(Server) and Knoppix(Portable) -- depending on situation -- as favourite distributions. Virtually i have tried all popular linux distributions. You name any popular linux (Redhat, Ubuntu, Arch, Suse, Knoppix, Slax, Slackware) i have tried it for some time. In fact i have spent few years experimenting the operating systems. Before choosing Python, Javascript (nodejs). I have tried all the languages i cameacross Scala, Haskell, Erlang, Ruby, Python, Perl, Scheme. Same applies for database. All popular db RDBMS (Oracle, Mysql, Postgres, SQLite[Favourite] etc) and NoSQL (Mongo, Couch, Neo4j etc.). Advantages i see: We get a overall picture of the technologies/tools/languages. It's useful to select the right tool for the job. We develop a taste and choose the One we like. Disadvantages: I feel that i spend somuch time and see a need to strike a balance. In summary, for e.g. If i see a blog post in HackerNews about CofeeScript i will try it out irrespective of what i am currently learning (Say Haskell). I switch back to learning Haskell, then again i see DART i check it out. And this continues.. Effectively i take more time to learn Haskell, but learnt about other new stuff on the way. The quetion i have is how do you strike a balance between staying bleeding edge and learning properly.

    Read the article

< Previous Page | 5 6 7 8 9 10 11 12 13 14  | Next Page >