Home Page. : Interactive In-Memory SQL with Apache Ignite using Apache Zeppelin. Recently I have been working on Apache Ignite interpreter for Apache Zeppelin. In this post I want to demonstrate how you can use Zeppelin to run SQL queries over Ignite distributed in-memory clusters. Apache Zeppelin is a web-based notebook which provides interactive data analysis and visualization capabilities.
For instance, you can create a note that fetches data from various sources and represents them as set of tables, bar or pie charts, etc. Apache Ignite is an In-Memory Data Fabric, which has a Distributed In-Memory Data Grid as one of its components. The Data Grid is responsible for partitioning user data within in-memory caches across the cluster and then providing ability to transact, index, and query the data in-memory across the cluster, much faster than traditional disk-based storages.
Zeppelin allows to run SQL on top of data distributed within Apache Ignite cluster. Now you need build, install and configure Apache Zeppelin. Linkedin/pinot. Home - Visual Studio Code. VOTE in the 2015 JAX Innovation Awards. OpenHAB - empowering the smart home. How to Test Your Internet Speed from the Command Line. Anybody who wants to test their connection speed can easily do so from a speed test web site — but that isn’t very geeky.
Here’s how to do a test from the terminal prompt instead. Note: If you are using Windows, you’ll want to either have Cygwin installed, or have a copy of curl or wget installed. On the Mac you can use curl, but if you prefer wget, you’ll need to install that. Testing Internet Connection Speed with Curl This is pretty simple. Just copy and paste the following command: curl -o /dev/null The first thing to point out is that we’re using a test file from Softlayer, but if your connection is really fast, you might want to use a larger file from Thinkbroadband to properly test.
Testing Internet Connection Speed with Wget If you prefer using wget, or that is what you have installed, the switch is the same. Wget -O /dev/null. Web-starter-kit from Google | Developers Tools for You. Web Starter Kit is an opinionated boilerplate for web development. Tools for building a great experience across many devices and performance oriented.
Helping to stay productive following the best practices outlined in Google’s Web Fundamentals. A solid starting point for both professionals and newcomers to the industry. At present, It officially aim to support the following browsers: IE9, IE10, IE11, IE Mobile 10FF 30, 31Chrome 34, 35Safari 7, 8Opera 23, 24iOS Safari 7, 8Opera CoastAndroid / Chrome 4.4, 4.4.3BlackBerry 10 Related BOOTFLAT : Open source Flat UI KIT based on Bootstrap 3.3.0 BOOTFLAT is an open source Flat UI KIT based on Bootstrap 3.3.0 CSS framework.And, for the designers, they offer a free PSD Download.It provides a faster, easier and less repetitive way for web developers or designers to create elegant web apps.Compatible Browsers: IE8, IE9, IE10, IE11, Firefox, Safari, Opera, Chrome.BOOTFLAT January 3, 2015 In "CSS" In "HTML" Bootstrap-material-design January 4, 2015.
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Blog Header by WordCram. SonarQube™ Introducing Drake, a kind of ‘make for data’ - Factual Blog. Processing data can be a real a mess! Here at Factual we’ve felt the pain of managing data workflows for a very long time. Here are just a few of the issues: a multitude of steps, with complicated dependenciescode and input can change frequently – it’s tiring and error-prone to figure out what needs to be re-builtinputs scattered all over (home directories, NFS, HDFS, etc.), tough to maintain, tough to sustain repeatability Paul Butler, a self-described Data Hacker, recently published an article called “Make for Data Scientists“, which explored the challenges of managing data processing work. Paul went on to explain why GNU Make could be a viable tool for easing this pain.
He also pointed out some limitations with Make, for example the assumption that all data is local. We were gladdened to read Paul’s article, because we’d been hard at work building an internal tool to help manage our data workflows. Introducing ‘Drake’, a “Make for Data” Examples The preview: That’s a very simple example. IP Location Finder - Geolocation.