Vue d'ensemble: There are a bunch of working definitions for Big Data yet to me it is put as data collection so substantial and complex that it ends up troublesome or difficult to process those utilizing conventional databases. For a little…
Big Data: A Big Bad Data or a Game Changer
Vue d'ensemble: Data is evolving everywhere- from a single voice search you just made to locate a nearby restaurant in your neighbor to the last weekend’s party pictures which you just threw over Facebook account. “A report reveals that 2.5 quintillion…
Why Apache Spark is the future platform for big data?
Vue d'ensemble: As big data becomes one of the most important assets an enterprise can possess, enterprises are demanding more out of the data. Enterprises expect data to provide complex and multidimensional insights at high speeds. To provide such insights, companies…
Exploring HBase NoSQL DB
Vue d'ensemble: Apache HBase is one of the most popular non-relational databases built on top of Hadoop and HDFS (Hadoop Distributed File system). It is also known as Hadoop database. As an Apache project, HBase is an open-source, versioned and distributed…
Apache Pig and Hadoop platform – How to process your data?
Vue d'ensemble: Apache Pig is a high level scripting language and a part of Apache Hadoop Eco-system. Pig scripting is mainly used for data analysis and manipulation on top of Hadoop platform. We know that MapReduce is a programming model used…
Hadoop Basic concepts – Learn it now
Présentation: 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…
Steps to work with Windows Azure HDInsight
Vue d'ensemble: Hadoop has made big data handling simpler and it goes without saying that in the context of the huge importance big data is being given, Hadoop is viewed as a key tool in big data management. Cependant, organizations might…
modes d'installation Hadoop - Explorons
Vue d'ensemble: Apache Hadoop peut être installé dans différents modes selon l'exigence. Ces différents modes sont configurés lors de l'installation. Par défaut, Hadoop is installed in Standalone mode. The other modes are Pseudo distributed mode and distributed mode. The purpose…
Quelle est la fédération HDFS?
Vue d'ensemble: Nous sommes bien conscients des caractéristiques de Hadoop HDFS et. Dans ce document, nous allons parler de la fédération HDFS qui nous aide à améliorer une architecture HDFS existante. It provides a clear separation between namespace and storage…
Qu'est-ce que Spring pour Apache Hadoop?
Vue d'ensemble: Spring is one of the widely used frameworks in enterprise applications development. Spring has different components like Spring ORM, Spring JDBC etc pour soutenir différentes fonctionnalités. Spring for Apache Hadoop is the framework to support application building with Hadoop components…
Quelles sont les dernières tendances dans les grandes données et des analyses?
Vue d'ensemble: la technologie Big de données est à venir avec les meilleures pratiques et de meilleures tendances chaque jour. Big données viennent progressivement dans les principaux projets de cours d'eau aussi et prend de l'ampleur. Avec gros volumes de données, Analytics est également obtenir beaucoup d'importance, tel quel…
What is Hadoop distributed file system (HDFS)?
Vue d'ensemble: 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. Ce système de fichiers fournit…
How Hadoop Streaming works?
Vue d'ensemble: 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, Le streaming peut…