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
Apèsi sou lekòl la: Done gwo te kondwi chanjman revolisyonè nan edikasyon,,en,Gen diman rete yon zòn nan edikasyon pa afekte pa gwo done,,en,Ou ka remake chanjman ki fèt nan fason enstitisyon edikatif yo gouvène,,en,se bon jan kalite kou jere ak patisipasyon elèv yo ak pèfòmans yo jere,,en,Konpare ak sistèm edikasyon an nan tan lontan an,,en,chanjman yo reprezante yon chanjman radikal nan paradigm,,en,Done se nan nwayo a nan revolisyon an,,en,Analytics ap ede enstitisyon edikatif yo pi byen jere bon jan kalite kou,,en,pèfòmans elèv yo ak konpòtman ak administrasyon an jeneral,,en,li te mande nan kèk ka si chanjman sa yo ap amelyore absòpsyon nan leson pa elèv yo ak ankouraje pi wo aplikasyon pratik nan leson yo aprann yo,,en,Seksyon ki vin apre yo nan atik la ap chèche konnen diferans lan,,en,te fè nan la,,en. 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 characteristics and pain points
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
Apèsi sou lekòl la: sèjousi, 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
Entwodiksyon: 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
Apèsi sou lekòl la: 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?
Apèsi sou lekòl la: Spring is one of the widely used frameworks in enterprise applications development. Spring has different components like Spring ORM, Spring JDBC etc to support different features. Spring for Apache Hadoop is the framework to support application building with Hadoop components…
Ki sa ki tandans dènye yo nan done gwo ak analytics?
Apèsi sou lekòl la: Big teknoloji done ki vini ak pi bon pratik ak pi bon tandans chak jou. Big done se piti piti vini nan pwojè kouran prensipal tou ak pran momantòm. Avèk done gwo, analytics se tou ap resevwa anpil enpòtans, as it is…
What is Hadoop distributed file system (HDFS)?
Apèsi sou lekòl la: 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?
Apèsi sou lekòl la: 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…
Ki sa ki Èske karakteristik yo ki avanse Hadoop MapReduce?
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
Apèsi sou lekòl la: 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…