ພາບລວມ: 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…
ພາບລວມ: 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…
ພາບລວມ: 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…
ພາບລວມ: 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…
ພາບລວມ: 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…
ການນໍາສະເຫນີ: 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…
ພາບລວມ: 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. However, organizations might…
ພາບລວມ: 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…
ພາບລວມ: We are well aware of the features of Hadoop and HDFS. In this document we will talk about the HDFS federation which helps us to enhance an existing HDFS architecture. It provides a clear separation between namespace and storage…
ພາບລວມ: 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…
ພາບລວມ: Big data technology is coming up with best practices and better trends every day. Big data is gradually coming into main stream projects also and gaining momentum. With big data, analytics is also getting much importance, as it is…
ພາບລວມ: 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…
ພາບລວມ: 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…
