blog

AngularJS libraries

Misko Hevery, a Google employee, started to work with AngularJS in 2009.The idea turned out very well, and the project is now officially supported by Google.Even though there are other frameworks like Backbone.js and Ember.js, AngularJs is slowly turning out to be the preferred framework of choice for building JavaScript applications.

Rahil ShaikhRahil Shaikh | 29th June 2015
Js framework,Angularjs libraries,Angularjs, Libraries

Facebook open sources Presto to provide real time big data search instead of Hive

In June 2013, Facebook first talked about a new query engine called Presto in their conference: At a conference for developers at Facebook headquarters on Thursday, engineers working for the social networking giant revealed that it’s using a new homemade query engine called Presto to do fast interactive analysis on its already enormous 250-petabyte-and-growing data warehouse.…

Ashutosh BijoorAshutosh Bijoor | 4th February 2015
Big-data,Facebook, Open-source, Realtime, Presto

Accion Labs Senior Consultant Bhavi speaks at FSCONS 2014

The Free Society Conference and Nordic Summit (FSCONS) is being held in Göteborg, Sweden between October 31st and November 2nd 2014. FSCONS exists to provide a meeting place where subjects covering society, culture and technology can be discussed and brought to life in peer discussions, without being confined to each particular subject area. It should provide both the physical and virtual space where people, organisations and governments, with interest in the three subject areas can meet in a participatory and constructive dialogue. The unique combination of topics creates a platform where cross-pollination between the areas can occur, and where new co-operations and thoughts can emerge which allows the participants to find new inspiration even from areas outside of their own.

Ashutosh BijoorAshutosh Bijoor | 19th October 2014

Choosing a NoSQl Database – technology comparison matrix

The big data technology landscape consists of such a large number of choices, that often the most critical step in successfully implementing a solution is choosing the right platform that will address the requirements of the problem at hand, and that is sustainable in the long term. With such a large number of choices though, doing a feature-wise comparison of all individual platforms is just too complex and time consuming. However, it is possible to group these options based on the data models they support.

Ashutosh BijoorAshutosh Bijoor | 15th October 2014
Nosql,Analytics, Technology, Database, Hadoop

A framework for categorizing and comparing cloud platforms – OpenStack, AWS, Heroku, CloudFoundry!

Thanks to Alex Popsecu’s NoSql blog, found a well articulated thesis by Johan den Haan, CTO at Mendix. Johan proposes a framework that describes the various layers of cloud platform services starting from virtualized hardware up to end-user software applications. This framework can also be used to categorize various cloud platforms such as OpenStack, Amazon Web Services, Heroku and CloudFoundry.

Ashutosh BijoorAshutosh Bijoor | 4th April 2014
Nosql,Services, Cloud, Openstack, Heroku

Hadoop for Fraud Analytics

Flourishing Technology Industry posses the other side of the coin as well. With an exponential rise in the secured internet usage comes the loop holes to get through those security doors. Fraud applies to all industries and affects businesses of all sizes. Online fraud is an unfortunate consequence of today’s globalized living and closely connected world.

Ashutosh BijoorAshutosh Bijoor | 19th March 2014
Big data,Analytics, Hadoop, Clustering

Node.js modules to build sentiment analysis application and analyze Twitter Data

Node.js is a popular server-side implementation of JavaScript. Its lightweight, event-based concurrency model lends itself naturally to building a real-time service with a large number of concurrent connections. Node.js also has its followers as well as annoyed skeptics, just like other technologies.

Ashutosh BijoorAshutosh Bijoor | 14th March 2014
Js framework,Analytics, Node.js, Server, Web programming

Intel adopting Big Data

Experts from Intel and its partners were found at The Big Data & Cloud Summit 2013, discussing technologies on big data and how businesses and govt organizations can leverage the insights that predictive technologies can bring to the table. “The world generates one petabyte of data every 11 seconds or the equivalent of 13 years of consecutive high definition video”, says Intel. Every individual and organization in the world should be able to unlock the intelligence available in big data, proposes Intel. The company aims to address the cost, complexity and confidentiality concerns associated with managing, storing and securing the massive amounts of data.

Ashutosh BijoorAshutosh Bijoor | 8th January 2014
Big data,Technologies, Cloud, Intel

Case study of Selenium – data integration into a big data repository

Selenium is a software testing framework for web applications. It is an open-source platform, released under the Apache 2.0 license. Selenium is used to automate functional testing of web interfaces within web browsers. It can also be used for automating web applications, especially for testing purposes. However, Selenium being a single threaded JAVA application may not be suitable for load testing. In addition to this, Selenium can be used to automate web-based administration as well. In particular, we had a requirement from a media company to automatically extract data from multiple web applications, each having separate login credentials.

Ashutosh BijoorAshutosh Bijoor | 13th December 2013
Big data,Repository, Testing framework, Open source