Easy Lan Folder Share Keygen Software' title='Easy Lan Folder Share Keygen Software' />Hot spots Hot spots Hot spots Hot spots. MX Linux is a special version of antiX developed in full collaboration with the MEPIS Community, using the best tools and talents from each distro and including work. Im extremely inspired along with your writing abilities and also with the structure to your weblog. Is that this a paid theme or did you customize it your self9565 wYcxCaSzDpmyitdb Ricky 081102Sun 1149 ltURL The best site everThanks. Your site is great. I just happened to have a moment to surf. SecurityStudy. Hadoops key design goal is to provide storage and computation on lots of homogenous commodity machines usually a fairly beefy machine running Linux. A collection of UnixLinuxBSD commands and tasks which are useful for IT work or for advanced users. A Hadoop data lab project on Raspberry Pi Part 14. Carsten Mnning and Waldemar Schiller. Hadoop has developed into a key enabling technology for all kinds of Big Data analytics scenarios. Although Big Data applications have started to move beyond the classic batch oriented Hadoop architecture towards near real time architectures such as Spark, Storm, etc., 1 a thorough understanding of the Hadoop Map. Reduce HDFS principles and services such as Hive, HBase, etc. Hadoop core still remains one of the best starting points for getting into the world of Big Data. Renting a Hadoop cloud service or even getting hold of an on premise Big Data appliance will get you Big Data processing power but no real understanding of what is going on behind the scene. To inspire your own little Hadoop data lab project, this four part blog will provide a step by step guide for the installation of open source Apache Hadoop from scratch on Raspberry Pi 2 Model B over the course of the next three to four weeks. Hadoop is designed for operation on commodity hardware so it will do just fine for tutorial purposes on a Raspberry Pi. We will start with a single node Hadoop setup, will move on to the installation of Hive on top of Hadoop, followed by using the Apache Hive connector of the free SAP Lumira desktop trial edition to visually explore a Hive database. We will finish the series with the extension of the single node setup to a Hadoop cluster on multiple, networked Raspberry Pis. If things go smoothly and varying with your level of Linux expertise, you can expect your Hadoop Raspberry Pi data lab project to be up and running within approximately 4 to 5 hours. We will use a simple, widely known processing example word count throughout this blog series. No prior technical knowledge of Hadoop, Hive, etc. Some basic LinuxUnix command line skills will prove helpful throughout. We are assuming that you are familiar with basic Big Data notions and the Hadoop processing principle. If not so, you will find useful pointers in 3 and at http hadoop. Further useful references will be provided in due course of this multi part blog. Part 1 Single node Hadoop on Raspberry Pi 2 Model B 1. Part 2 Hive on Hadoop 4. Biq. 7Ta. Part 3 Hive access with SAP Lumira 3. Pz. 68. Part 4 A Hadoop cluster on Raspberry Pi 2 Model Bs 4. O7. 66g. Part 1 Single node Hadoop on Raspberry Pi 2 Model B 1. Serial Key Windows Xp X64 Product. Preliminaries. To get going with your single node Hadoop setup, you will need the following Raspberry Pi 2 Model B bits and pieces One Raspberry Pi 2 Model B, i. Raspberry Pi model featuring a quad core CPU with 1 GB RAM. GB micro. SD card with NOOBS New Out Of the Box Software installerboot loader pre installed https www. Wireless LAN USB card. Mini USB power supply, heat sinks and HDMI display cable. Optional, but recommended A case to hold the Raspberry circuit board. To make life a little easier for yourself, we recommend to go for a Raspberry Pi accessory bundle which typically comes with all of these components pre packaged and will set you back approx. We intend to install the latest stable Apache Hadoop and Hive releases available from any of the Apache Software Foundation download mirror sites, http www. SAP Lumira desktop trial edition, http saplumira. Hadoop 2. 7. 2. Hive 1. SAP Lumira 1. 2. 3 desktop edition. The initial Raspberry setup procedure is described by, amongst others, Jonas Widriksson at http www. His blog also provides some pointers in case you are not starting off with a Raspberry Pi accessory bundle but prefer obtaining the hard and software bits and pieces individually. We will follow his approach for the basic Raspbian setup in this part, but updated to reflect Raspberry Pi 2 Model B specific aspects and providing some more detail on various Raspberry Pi operating system configuration steps. To keep things nice and easy, we are assuming that you will be operating the environment within a dedicated local wireless network thereby avoiding any firewall and port setting and the Hadoop node rack network topology discussion. The basic Hadoop installation and configuration descriptions in this part make use of 3. The subsequent blog parts will be based on this basic setup. Raspberry Pi setup. Powering on your Raspberry Pi will automatically launch the pre installed NOOBS installer on the SD card. Select Raspbian, a Debian 7 Wheezy based Linux distribution for ARM CPUs, from the installation options and wait for its subsequent installation procedure to complete. Once the Raspbian operating system has been installed successfully, your Raspberry Pi will reboot automatically and you will be asked to provide some basic configuration settings using raspi config. Note that since we are assuming that you are using NOOBS, you will not need to expand your SD card storage menu Option Expand Filesystem. NOOBS will already have done so for you. By the way, if you want or need to run NOOBS again at some point, press hold the shift key on boot and you will be presented with the NOOBS screen. Basic configuration. What you might want to do though is to set a new password for the default user pi via configuration option Change User Password. Similarly, set your internationalisation options, as required, via option Internationalisation Options. More interestingly in our context, go for menu item Overclock and set a CPU speed to your liking taking into account any potential implications for your power supplyconsumption voltmodding and the life time of your Raspberry hardware. If you are somewhat optimistic about these things, go for the Pi. GHz CPU and 5. 00 MHz RAM speeds to make the single node Raspberry Pi Hadoop experience a little more enjoyable. Under Advanced Options, followed by submenu item Hostname, set the hostname of your device to node. Selecting Advanced Options again, followed by Memory Split, set the GPU memory to 3. MB. Finally, under Advanced Options, followed by SSH, enable the SSH server and reboot your Raspberry Pi by selecting lt Finish in the configuration menu. You will need the SSH server to allow for Hadoop cluster wide operations. Once rebooted and with your pi user logged in again, the basic configuration setup of your Raspberry device has been successfully completed and you are ready for the next set of preparation steps. Network configuration. To make life a little easier, launch the Raspbian GUI environment by entering startx in the Raspbian command line. Alternatively, you can use, for example, the vi editor, of course. Use the GUI text editor, Leafpad, to edit the etcnetworkinterfaces text file as shown to change the local ethernet settings for eth. DHCP to the static IP address 1. Also add the netmask and gateway entries shown. This is the preparation for our multi node Hadoop cluster which is the subject of Part 4 of this blog series. Check whether the nameserver entry in file etcresolv. Restart your device afterwards. Java environment. Hadoop is Java coded so requires Java 6 or later to operate. Check whether the pre installed Java environment is in place by executing java version. You should be prompted with a Java 1. Java 8, response. Hadoop user group accounts. Set up dedicated user and group accounts for the Hadoop environment to separate the Hadoop installation from other services. The account IDs can be chosen freely, of course. We are sticking here with the ID examples in Widrikssons blog posting, i. Sorry, page not found Please enable cookies and refresh the page.