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Blog

BlogQA/Test Automation
January 22, 2016

Java Selenium WebDriver automation

This article is coming up as an effort from the ABH testing research team in the light of using new technologies and tools in testing processes. (more…)
Igor Banjac 0
Love3
BlogSoftware Development
January 7, 2016

STOMP/ActiveMQ communication for Ruby/Rails applications

Introduction Using a messaging protocol to facilitate communication between different applications is nothing new, in fact it has been the defacto standard for fast and reliable communication.  (more…)
Haris Krajina 0
Love1
amazon elastic mapreduce
Big DataBlog
December 1, 2013

Amazon Elastic MapReduce web service

Introduction Hadoop as a platform enables us to store and process vast amounts of data. Storage capacity and processing power are directly related to the size of our Hadoop cluster and scaling it up is a simple as adding new nodes to the cluster. (more…)
Emir Arnautovic 0
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BlogQA/Test Automation
January 13, 2013

5 important aspects of a successful Test Automation Approach in Agile

Engineers in charge of Test Automation face different challenges in the projects. In this white paper, we focus on understanding TA challenges common in the Agile environment. (more…)
Nermin Caluk 1
Love2
BlogQA/Test Automation
January 12, 2013

Software issue diagnosis – Using automated checks with Jmeter

The Problem One of the fundamental questions in any business is how to spend time. Striving to systematically save time on every single step in a software development process is often overlooked. (more…)
Nermin Caluk 0
Love1
BlogQA/Test Automation
January 12, 2013

JMeter as a functional testing tool and easily extendable tool

With the growth of software development expectations and new technologies like Hadoop, we need a tool that can fulfill most of our functional testing needs. (more…)
Aida Rikovic 0
Love0
row level timestamp consistency
Big DataBlog
January 6, 2013

HBase – Row level timestamp consistency in HBase

Multiple dimensions of data are supported by having multiple versions of each HBase table cell. This enables identification of each cell by 3 keys: row key, column, and version. (more…)
Davor Kovacic 0
Love1
hadoop identifying data
Big DataBlog
January 4, 2013

Hadoop – Identifying and skipping processed data

A paper on identifying and skipping processed data – an effort to minimize cloud resource wasting in Hadoop when processing data from HDFS. (more…)
Amir Hadzic 1
Love2
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