MapR

ZooKeeper The C10K problem [Help save the best Linux news source on the web -- subscribe to Linux Weekly News!] It's time for web servers to handle ten thousand clients simultaneously, don't you think? After all, the web is a big place now. And computers are big, too. You can buy a 1000MHz machine with 2 gigabytes of RAM and an 1000Mbit/sec Ethernet card for $1200 or so. Let's see - at 20000 clients, that's 50KHz, 100Kbytes, and 50Kbits/sec per client. In 1999 one of the busiest ftp sites, cdrom.com, actually handled 10000 clients simultaneously through a Gigabit Ethernet pipe. And the thin client model of computing appears to be coming back in style -- this time with the server out on the Internet, serving thousands of clients. With that in mind, here are a few notes on how to configure operating systems and write code to support thousands of clients. Contents Related Sites See Nick Black's execellent Fast UNIX Servers page for a circa-2009 look at the situation. Book to Read First I/O frameworks I/O Strategies 1. 2.

Install DSS on Windows with Docker - Dataiku - Collaborative Data Science Platform Dataiku DSS only runs on Linux servers for production usage. Support of Mac OS X is available for experimentation, evaluation purpose and playing with Kaggle datasets. Dataiku does not provide any version of DSS for Microsoft Windows. However, you have the option to virtualize a Linux system on Windows and install DSS on it. We do not recommend that you use Docker for running DSS on Windows. This page is provided for information purpose, and we will not be able to provide support for it. In this how-to, you will see how to install DSS on a Windows computer with Docker. Requirements Docker provides an easy installation for Windows with the Docker Toolbox application. Your machine must be running Windows 7.1, 8/8.1 or 10. Your Windows system must support Hardware Virtualization Technology and virtualization must be enabled. Also, you should have at least 4GB of RAM available (8GB is better). Docker Toolbox installation Download and install the Docker Toolbox Docker Toolbox application.

Flume High-Performance Analytics - L'architecture Big Data de SAS Hadoop, MapReduce, NoSQL, Appliances… tous ces termes techniques fleurissent pour décrire le phénomène Big Data, à l'origine du Big Analytics chez SAS. Si le Peta-octet n'est pas encore l'unité de base des applications décisionnelles, on peut estimer que les données disponibles pour le monde analytique vont augmenter et se diversifier. La capacité à valoriser et utiliser ces informations dans un laps de temps réduit est l'enjeu majeur des trois prochaines années. Le Big Data et l'Analytique : la réponse à des enjeux métiers Nous vous proposons en téléchargement gratuit un livre blanc qui énonce les utilisations et les bénéfices métiers dans différents secteurs d'activité. Ce sont autant d’exemples apportant un éclairage pertinent sur la gestion, le stockage, l'analyse et l'exploitation d'importants volumes de données réalisés avec SAS dans le contexte du Big Data. SAS® High-Performance Analytics Server : une offre dédiée Exploration visuelle des données avec SAS® Visual Analytics

Install Kitematic on Windows 10, 8, and 7 all Editions? GUI for Docker In this post, I will show you how to install Kitematic on Windows 10, 8, and 7 all editions. Kitematic is a Docker GUI that makes managing Docker containers a breeze. Previously, I have explained what is Docker and how it can make life easier for home server owners. In addition, we also showed you how to install Docker on Windows 10 64-bit Pro/Ent and other Editions, as well as on Ubuntu. Yesterday, we saw how to install SickRage in Docker from commandline. But even though it is easy, what if you had a GUI for Docker that makes install and managing containers easy? Install Kitematic on Windows – GUI for Docker In my opinion, even if you are a commandline pro, Kitematic Docker GUI can significantly speed up creating and managing docker containers. A. On 64-bit Windows 10 Pro, Ent, and Edu, Hyper-V can be enabled. 1. First create a folder to install kitematic on Windows 10. You may be presented with a Windows security warning because you are modifying a protected folder. 2. 2. B.

Sqoop Box plot In descriptive statistics, box plot or boxplot is a convenient way of graphically depicting groups of numerical data through their quartiles. Box plots may also have lines extending vertically from the boxes whiskers indicating variability outside the upper and lower quartiles, hence the terms box-and-whisker plot and box-and-whisker diagram. Outliers may be plotted as individual points. This is also called a "box and whisker plot". Box plots are non-parametric: they display variation in samples of a statistical population without making any assumptions of the underlying probability distribution statistical distribution. Types of boxplots[edit] Figure 2. Figure 3. Box and whisker plots are uniform in their use of the box: the bottom and top of the box are always the first and third quartiles, and the band inside the box is always the second quartile (the median). Some box plots include an additional character to represent the mean of the data.[2] Variations[edit] Figure 4. if and John W.

Top open source project management tools of 2016 For the last three years, I have rounded up the most popular open source project management tools for Opensource.com readers. As there continues to be major reader interest in this area, I decided to take a look back at the tools we covered in 2014 and 2015, and give you updates on all of these projects. I looked to see which projects had new releases, notable new and improved features, and more. Let's take a look at each of these projects and try to answer some of the questions readers have had in the comments of last year's edition, including which are still in active development, provide hosting options, offer a mobile solution, and more. MyCollab MyCollab is a multi-purpose solution which features tools for customer relationship management, document management, and project management. MyCollab-Project includes many features, like a Gantt chart and milestones, time tracking, and issue management. The current MyCollab version is 5.2.9 released on March 14, 2016. Odoo Taiga OrangeScrum

HBase Hive! Apache Pig