Introduction Since the time when Big Data was introduced it has gone through multiple phases of evolution. Hadoop was introduced in 2005 with some initial features such as the MapReduce processing engine which allowed large scale data processing workloads distributed…
Big Data and Education Industry
Yfirlit: Big data has been driving revolutionary changes in education. There hardly remains an area in education not impacted by big data. You can notice the changes in the ways educational institutions are governed, course quality is managed and student…
Big Data einkenni og verkjapunktar,en
Overview Big data is based on three most important characteristics, known as volume, velocity and veracity. It comes in different forms and structure. Big data analytics is having significant impact in business decision. But it comes with some pain points.…
How Open Data Platform simplifies Hadoop adoption?
Overview The Open Data Platform (ODP) is an industry initiative focused on simplifying the adoption of Apache Hadoop by the Enterprise and enabling Big Data solutions to thrive with better ecosystem interoperability. It builds on the strengths of the Apache…
Measuring the ROI in Hadoop adoption
Yfirlit: Nowadays, people seem to be really misinformed about Hadoop, mainly due to lots of half-truths that are fluttering about it in the market. However, all these half-truths were normal as Hadoop is said to be one of the best…
Hadoop Basic concepts – Learn it now
Inngangur: In this series, we will discuss some of the basic concepts in Hadoop and big data. We have tried to cover basic concepts and explain them to make it easy to learn and implement. We will keep on adding…
Hadoop installation modes – Let’s explore
Yfirlit: Apache Hadoop can be installed in different modes as per the requirement. These different modes are configured during installation. By default, Hadoop is installed in Standalone mode. The other modes are Pseudo distributed mode and distributed mode. The purpose…
What is Spring for Apache Hadoop?
Yfirlit: Vor er einn af the víða notaður ramma í framtak umsókn þróun. Vor hefur mismunandi hluti eins Vor Ormur, Vor JDBC etc til að styðja við mismunandi lögun. Vor fyrir Apache Hadoop er umgjörð til að styðja umsókn bygging með Hadoop hluti…
Hvað eru nýjustu þróun í stór gögn og greinandi?
Yfirlit: Big gögn tækni er að koma upp með bestu starfsvenjum og betri þróun á hverjum degi. Big gögn er smám saman að koma inn í helstu verkefnum streyma einnig og öðlast skriðþunga. Með stór gögn, greinandi er einnig að fá mikið vægi, as it is…
What is Hadoop distributed file system (HDFS)?
Yfirlit: In this article I will discuss about HDFS, which is the underlying file system of Apache Hadoop framework. Hadoop Distributed File System (HDFS) is a distributed storage space that spans across thousands of commodity hardware. This file system provides…
How Hadoop Streaming works?
Yfirlit: Hadoop streaming is one of the most important utility in Hadoop distribution. The Streaming interface of Hadoop allows you to write Map-Reduce program in any language of your choice, which can work with STDIN and STDOUT. So, Streaming can…
Hvað eru Advanced Hadoop MapReduce Features?
The basic MapReduce programming explains the work flow details. But it does not cover the actual working details inside the MapReduce programming framework. This article will explain the data movement through the MapReduce architecture and the API calls used to…
Hadoop key terms, Simplified
Yfirlit: In the current technology landscape, big data and analytics are the two most important areas where people are taking lot of interest. The obvious reason behind this traction is – enterprises are getting business benefit out of these big…