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Category: HDFS
In today's digital age, data is a crucial asset for businesses to make informed decisions. However, analyzing huge volumes of data can be a daunting task without the right tools. This is where big data analytics tools come into play. They help businesses process, store, and analyze large datasets to gain insights that can be … Continue reading 10 Most Popular Big Data Analytics Tool
With growing data velocity the data size easily outgrows the storage limit of a machine. A solution would be to store the data across a network of machines. Such filesystems are called distributed filesystems. Since data is stored across a network all the complications of a network come in. /certifications/ This is where Hadoop comes … Continue reading Introduction to Hadoop Distributed File System(HDFS)
Before head over to learn about the HDFS(Hadoop Distributed File System), we should know what actually the file system is. The file system is a kind of Data structure or method which we use in an operating system to manage file on disk space. This means it allows the user to keep maintain and retrieve … Continue reading Hadoop – HDFS (Hadoop Distributed File System)
Today tons of Companies are adopting Hadoop Big Data tools to solve their Big Data queries and their customer market segments. There are lots of other tools also available in the Market like HPCC developed by LexisNexis Risk Solution, Storm, Qubole, Cassandra, Statwing, CouchDB, Pentaho, Openrefine, Flink, etc. Then why Hadoop is so popular among … Continue reading Hadoop – Features of Hadoop Which Makes It Popular
The Hadoop Distributed File System (HDFS) is a distributed file system. It is a core part of Hadoop which is used for data storage. It is designed to run on commodity hardware. Unlike other distributed file system, HDFS is highly fault-tolerant and can be deployed on low-cost hardware. It can easily handle the application that … Continue reading HDFS Features and Goals
Introduction The data researchers no longer depend only on interviews, surveys, observational studies to collect data. Instead, they have switched to the faster ways of data collection which includes leveraging internet, cameras, smartphones, drones, bots and many more. Later, the collected data is used by organization / governments to make business decisions. But, before that, … Continue reading Getting Started with Big Data Integration using HDFS and DMX-h
Hadoop Architecture In this post, we are going to discuss about Apache Hadoop 2.x Architecture and How it’s components work in detail. Hadoop 2.x Architecture Apache Hadoop 2.x or later versions are using the following Hadoop Architecture. It is a Hadoop 2.x High-level Architecture. We will discuss in-detailed Low-level Architecture in coming sections. Hadoop Common … Continue reading Hadoop Architecture – YARN, HDFS and MapReduce
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