Hadoop technology is a pack of Opensource features that let developers to store and process big data in a distributed environment throughout computer clusters with the help of simple programming models. The technology plays vital role in the professional life of those who are working in the IT field. If hadoop developers want to take … Continue reading Why Hadoop Developers Require Training Sessions?
The hadoop environment has a same aim – to gather maximum interesting data from different systems, in better way. Using such radical approach, programmers can dump all data of interest into a big data store. This is usually HDFS, cloud storage that is good for the task as it’s cheap and flexible. Also, it puts … Continue reading Differentiate Between Hadoop And Data Warehousing
Coin flipping has always been an antidote to see a right and the safer side. Gaining any one side and getting the alternative is what beeps work into a quick action. Well, why am I stencilling an image of coin flipping in your minds? The answer is very simple. I am drawing your attention to … Continue reading HADOOP INDUSTRY : An Emphasis And Overview On The Same Platter
Hadoop deployments in production seem slower unexpectedly, but the job growth rate still giving hope to hadoop consultants to keep running their consulting business. It’s like nothing will stop hadoop consulting companies. Even with anemic interest, amazing range of distinct projects, and complex setup that hold the unified thing, we call it Hadoop. Demand for … Continue reading Hadoop Consultants Still In Hope To Take Consulting Business To Next Level
MapReduce has been changed completely in last few months and now it has become YARN (Yet Another Resource Navigator). So what should be used for your business either MapReduce or YARN? Which is better platform to manage Hadoop application software? Resource Manager is one of the very important components available in YARN assures profits for your … Continue reading How MapReduce Has Become YARN In Hadoop?
Big data is leading the market today and Hadoop is the most concrete technology behind this trend. Most companies have started experimenting with Hadoop and building applications to transform their businesses in real. However, when hadoop applications fail to cater desired expectations, it becomes costly failure. To get successful application, you need to look at … Continue reading Why hadoop applications fail and what are the remedies to avoid failure?
Aegis Hadoop developers will explain the concept of Hadoop Distribution File System (HDFS) to entire development community across the globe. HDFS is intended to adhere to the conventional distributed file systems and Google File System advantages. The Apache Hadoop framework has its own file system- HDFS. It is a fault-tolerant, self-healing system that is developed … Continue reading The concept of Hadoop Distribution File System