http://lucene.apache.org/solr/
Related: Backend DevelopmentThe busy JavaScript developer's guide to Sails.js, Part 1: Build and deploy a basic web app with Sails Get started with Sails in your local development environment, then deploy it to Bluemix Ted NewardPublished on November 03, 2015/Updated: July 12, 2016 Ever find yourself wandering in the cheese aisle of a gourmet shop, overwhelmed by the impressive display of cheeses from all over the world? It's a nice problem to have, but the trouble is in deciding which of them to bring home. About this series Sails.js, like its cousin Ruby on Rails, is a framework designed to help developers build web applications. Unlike Rails, which defaults to building applications that generate HTML on the server and ship it all back to the browser, Sails has great support for building HTTP APIs out of the box.
Bzeeet for Search Engine - free PHP Desktop file ftp search Project Bzeeet, Stable and lightweight Desktop-Files/SMB/FTP crawler and search engine. It is an OpenSource PHP search engine project, which includes : translations, docs, widgets... and more coming soon. Bzeeet can be used to index documents stored:- on your own computer to find them faster,- on a NAS storage device using SMB/CIFS,- on a remote FTP server where SMB doesn't work,- on a wide local network (in a company for example) Features of Bzeeet:-Full support of PHP and MySQL-Designed for Linux, works on Unixes and Windows (limited)-SMB crawler (based on Samba)-FTP crawler-Local file crawler-Synchronous, mono-threaded-Automation of repetitive tasks-User-friendly web-interface
Whoosh 2.4.0 Fast, pure-Python full text indexing, search, and spell checking library. Package Documentation Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python. Programmers can use it to easily add search functionality to their applications and websites. Every part of how Whoosh works can be extended or replaced to meet your needs exactly. Splunk Seeks Non-Geeks with Platform Upgrade, Gives Away Storm to Developers In full swing this week, Splunk’s fourth annual .conf gathering in Las Vegas kicked off this morning with two noteworthy announcements from the data management platform. The first is a refresh on its Enterprise suite, making version 6 of its platform available today. The second is a complete cloud version of its Enterprise suite, delivering a fully virtualized offering to appease the SaaS crowd. Splunk Chairman and CEO Godfrey Sullivan will provide the first public demonstration of Splunk Enterprise 6 during his keynote session at .conf2013. Democratizing Data It seems Splunk is seizing an opportunity to democratize data, approaching the Business Intelligence sector with enterprise-grade, cloud-ready analytics.
Products and Success Stories AMQP Products A standard is no use without products, and there are is a choice of excellent AMQP technology suppliers. Commercially available AMQP products and support offerings; please check their web sites for details... Notable AMQP Users Index & Search Shared Folders In Network [Windows 7] The build-in Windows 7 Start Search is great for quickly finding a program or file, but not perfect. One of the biggest headache is that it cannot index shared folders in my Home network. Ofcourse there are plenty of 3rd party tools that can come to the rescue, one that recently gained my attention is neoSearch. BMC Launches Big Data Management Solution for Hadoop BMC launches a big data management solution for Hadoop, Dataguise raises $13 million for expansion, and IBM acquires big data analytics company The Now Factory. BMC launches big data management solution for Hadoop BMC announced the availability of BMC Control-M for Hadoop, a new big data management solution that dramatically reduces the batch processing time for extremely large collections of data sets, simplifying and automating Hadoop batch processing and connected enterprise workflows. The new solution is a purpose-built version of the company’s Control-M workload automation offering. BMC Software specifically designed Control-M for Hadoop to improve service delivery by detecting slowdowns and failures with predictive analytics and intelligent monitoring of Hadoop application workflows. “BMC Control-M provides MetaScale with a control point that allows us to integrate all those big spokes to our hub which is big data.
Caching in a Distributed Web Farm Using ASP.NET There are only two hard things in Computer Science: cache invalidation and naming things. Author: Phil Karlton A Brief Introduction to Caching Caching is a powerful technique for increasing performance through a simple trick: Instead of doing expensive work (like a complicated calculation or complex database query) every time we need a result, the system can store – or cache – the result of that work and simply supply it the next time it is requested without needing to reperform that work (and can, therefore, respond tremendously faster). Of course, the whole idea behind caching works only as long the result we cached remains valid. And here we get to the actual hard part of the problem: How do we determine when a cached item has become invalid and needs to be recreated?
Search And Index Shared Files And Folders [Network] Running a network is never an easy task, especially those with an abundance of shared files. Looking for a particular file or folder could become a next-to-impossible feat, where there can be thousands of files and folders accessible over the network of even a medium-sized corporate setup. For local disks and file systems, you get the search option – even if in the form of Windows’ own search (which, by the way, is pretty decent in Windows 7) – but the same cannot be utilized for cross-network lookups. Network Search Engine answers exactly this issue. Big data, fast: Avoiding Hadoop performance bottlenecks Hadoop shows a lot of promise as a relatively inexpensive landing place for the streams of big data coursing through organizations. The open source technology provides a distributed framework, built around highly scalable clusters of commodity servers, for processing, storing and managing data that fuels advanced analytics applications. But there's no such thing as a free lunch: In production use, achieving high levels of Hadoop performance can be a challenge. Despite all the attention it's getting, Hadoop is still a relatively young technology -- it only reached Version 1.0 status in December 2011. As a result, much of the work being done with Hadoop by users remains somewhat experimental in nature, especially outside of the large Internet companies that helped to create it and that are replete with Java programmers and systems administrators versed in deploying the technology.
How to Install Tomcat on Ubuntu Linux Apache Tomcat is a web server and servlet container that is used to serve Java applications. A servlet is a Java technology-based Web component, managed by a container, that generates dynamic content. 1. The tools Ubuntu Linux 16.04Java JDKApache Tomcat Big data architecture adds integration options Big data technologies open up new options for storing and managing data -- potentially in concert with data warehouse systems, not as an alternative to them. That in turn creates new data integration opportunities, which might require additional tools to effectively support a big data architecture. Big data systems make it more feasible to store data "in a very crude fashion and refine it as needed" for particular uses, said Shawn Rogers, who heads business intelligence (BI) and data warehousing research at Enterprise Management Associates Inc. in Boulder, Colo.
Your first Django project! Part of this chapter is based on tutorials by Geek Girls Carrots ( of this chapter are based on the django-marcador tutorial licensed under Creative Commons Attribution-ShareAlike 4.0 International License. The django-marcador tutorial is copyrighted by Markus Zapke-Gründemann et al. We're going to create a simple blog! The first step is to start a new Django project.
Handling the hoopla: When to use Hadoop, and when not to In the past few years, Hadoop has earned a lofty reputation as the go-to big data analytics engine. To many, it's synonymous with big data technology. But the open source distributed processing framework isn't the right answer to every big data problem, and companies looking to deploy it need to carefully evaluate when to use Hadoop -- and when to turn to something else. There's so much hype around [Hadoop] now that people think it does pretty much anything.Kelly Stirman, director of product marketing, 10gen Inc. For example, Hadoop has ample power for processing large amounts of unstructured or semi-structured data.