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cezarovidiu

How to migrate Liferay portal from one windows machine to other? - Stack Overflow - 0 views

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    "These are the steps that I have followed and able to migrate the Liferay successfully: Take the backup of Liferay files and database from first windows machine. Install the same version of Liferay (Say Liferay 5.2.3) on second windows machine. Shut down Liferay. Import the database on new system. Add portal-ext.properties with relevant entries. (e.g Datbase Name, User Name , Pasword etc) Add \liferay-portal-5.2.3\data\document_library files from old machine. Start the tomcat. It will automtically do the rest. NOTE: In the above method I have not deployed Theme and custom plugins etc, you have to deploy Theme and custom plugins also that are used on old system."
cezarovidiu

Hadoop Tutorial - YDN - 0 views

  • Hadoop is designed to efficiently process large volumes of information by connecting many commodity computers together to work in parallel. The theoretical 1000-CPU machine described earlier would cost a very large amount of money, far more than 1,000 single-CPU or 250 quad-core machines. Hadoop will tie these smaller and more reasonably priced machines together into a single cost-effective compute cluster.
cezarovidiu

Installing Hadoop for Fedora & Oracle Linux(Single Node Cluster) | accretion infinity - 0 views

  • Hadoop is a framework written in Java for running applications on large clusters of commodity hardware and incorporates features similar to those of the Google File System (GFS) and of the Map Reduce computing paradigm. Hadoop’s HDFS is a highly fault-tolerant distributed file system and, like Hadoop in general, designed to be deployed on low-cost hardware. It provides high throughput access to application data and is suitable for applications that have large data sets.
  • Some of the Hadoop projects we will talk about are: HDFS : A distributed filesystem that runs on large clusters of commodity machines. Map Reduce: A distributed data processing model and execution environment that runs on large clusters of commodity machines. Pig: A data flow language and execution environment for exploring very large datasets. Pig runs on HDFS and MapReduce clusters. HBase: A distributed, column-oriented database. HBase uses HDFS for its underlying storage, and supports both batch-style computations using MapReduce and point queries (random reads). ZooKeeper: A distributed, highly available coordination service. ZooKeeper provides primitives such as distributed locks that can be used for building distributed applications. Oozie: Oozie is a workflow scheduler system to manage Apache Hadoop jobs.
  • Oracle Linux as the operating system and Hadoop 1.1.2 or 1.2.0
cezarovidiu

Tech Leaders Microsoft, IBM, Oracle, NCR Roll Out New Retail Apps For Stores - 0 views

  • Leaders headed by Microsoft (NASDAQ MSFT), the world's biggest software company; Oracle (NASDAQ: ORCL), the No. 1 database developer, and International Business Machines Corp. (NYSE: IBM), the No. 2 computer maker, showed off new software and analysis tools to enable retailers to make more from the consumer dollar.
  • The company also said that using in-house software analysis permits retailers to forecast trends and have merchandise made quickly to capitalize on them. Its “birth of a trend” analytics has determined what it calls “steampunk,” or a science-fiction and fantasy mix based around gothic machinery and 19th-century geniuses like Jules Verne and H.G. Wells will be a big trend in 2013.
cezarovidiu

Password Protection with .htaccess and .htpasswd - 0 views

  • .htaccess The .htaccess file is a simple text file placed in the directory you want the contents of the file to affect. The rules and configuration directives in the .htaccess file will be enforced on whatever directory it is in and all sub-directories as well. In order to password protect content, there are a few directives we must become familiar with. One of these directives in the .htaccess file ( the AuthUserFile directive ) tells the Apache web server where to look to find the username/password pairs. .htpasswd The .htpasswd file is the second part of the affair. The .htpasswd file is also a simple text file. Instead of directives, the .htpasswd file contains username/password pairs. The password will be stored in encrypted form and the username will be in plaintext.
  • There is a special program on a *nix machine that is designed to manipulate the .htpasswd file on your behalf. The name of this program is htpasswd.
  • The first way is to create a new .htpasswd file and add a username/password pair to the file. The second way is to add a username/password pair to an existing .htpasswd file.
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  • To create a new .htpasswd file in /usr/uj/jurbanek/ with username john, the following command would be used. # '-c' stands for 'create'. Only to be used when creating a new .htpasswd file. # You will be prompted for the password you would like to use after entering the command below. htpasswd -c /usr/uj/jurbanek/.htpasswd john
cezarovidiu

Convert VirtualBox (vdi) hard drive image to VMWare (vmdk) format » MikeBeach... - 0 views

  • Example (Windows):

    1"c:Program FilesOracleVirtualBoxVBoxManage.exe" clonehd "Win XP.vdi" xp.vmdk  --format vmdk --variant standard
  • Example (Linux):

    1VBoxManage clonehd "Win XP.vdi" xp.vmdk  --format vmdk --variant standard
  • Next, open VMWare and select Create a new virtual machine Select “I will install the operating system later” Make your OS selection about the OS that’s currently on the vmdk you will be using. (The guest OS, not the host OS). Later on, you will have the option to use an existing vmdk image as your virtual hard drive. Do so. You should now be able to finish setup and boot your converted disk image.
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  • Absolute path to VBoxManage is necessary unless it’s in the Windows $PATH.
cezarovidiu

Analyzing Human Data: Take a Dive to Find Out What Your Customers Really Feel - Content... - 0 views

  • What really interests me, and what I think should interest marketers, is what I’ll call signals – one of which is intent. Intent is critical because it can predict action. For example, “Is this person shopping to buy a product like my product?” “Is this person unhappy and needing some form of attention?” “Is this person about to return the product for a reason that is addressable?”
  • Sentiment is one ingredient of intent. If someone is happy, sad, angry … that can be determined via sentiment analysis technologies.
  • Many tools struggle with context.
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  • An example I hear over and over again is “thin” – good when you’re talking about electronics, but bad if you’re talking about hotel walls or the feel of hotel sheets. To do sentiment analysis correctly, you need refinement. You need customization for particular industries and business functions.
  • The market, unfortunately, is polluted with tools that claim to have sentiment abilities, but are too crude to be usable. Even with refinement (e.g., the ability to handle negators and contextual sentiment), approaches that deliver only positive and negative ratings don’t take you very far.
  • There are definitely easy, inexpensive entry points that can meet basic, just-getting-started needs: tools for social listening, survey analysis, customer service (handling contact-center notes, for instance), customer experience (via analysis of online reviews and forums), automated email processing, and other needs. These technologies are user friendly, available on demand, as a service.
  • Text mining:
  • Digital Reasoning, Luminoso and AlchemyAPI.
  • Image recognition and analysis: Image analysis now automatically identifies brand labels in pictures.
  • VisualGraph (now owned by Pinterest), Curalate, Piqora (nee Pinfluencer), and gazeMetrix.
  • Emotional analysis in images, audio, and video: These companies promote analysis of speech and facial expression primarily for structured studies
  • • Affectiva conducts webcam emotional analysis for media and ad research, including development tools to integrate emotional study in mobile apps. • Emotient performs emotional analyses in retail environments, evaluating signage, displays, and customer service. • EmoVu by Eyeris tests the engagement level of both short- and long-form video content. • Beyond Verbal studies emotion based on a person’s voice in real time.
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