Apache Hadoop YARN is the pre-requisite for Enterprise Hadoop as it provides the resource management and pluggable architecture for enabling a wide variety of data access methods to operate on data stored in Hadoop with predictable performance and service levels. Hadoop Distributed File System (HDFS) is the core technology for the efficient scale out storage layer, and is designed to run across low-cost commodity hardware. There are five pillars to Hadoop that make it enterprise ready:ĭata Management – Store and process vast quantities of data in a storage layer that scales linearly.
Hadoop enables businesses to quickly gain insight from massive amounts of structured and unstructured data. Numerous Apache Software Foundation projects make up the services required by an enterprise to deploy, integrate and work with Hadoop. Understanding HDP components and their purposeĪpache Hadoop is an open source framework for distributed storage and processing of large sets of data on commodity hardware.
These are steps towards the implementation of a modern data architecture, and towards delivering an enterprise ‘Data Lake’. The core of Hadoop and its surrounding ecosystem solution vendors provide enterprise requirements to integrate alongside Data Warehouses and other enterprise data systems. This module discusses Apache Hadoop and its capabilities as a data platform. We will also talk about various components of the Hadoop ecosystem that make Apache Hadoop enterprise ready in the form of Hortonworks Data Platform (HDP) distribution.
In this module you will learn about Apache Hadoop and what makes it scale to large data sets. Downloaded and deployed the Hortonworks Data Platform (HDP) Sandbox.HDP includes various components that open new opportunities and efficiencies in healthcare, finance, insurance and other industries that impact people. When data files are accessed by Hive, Pig or another coding language, YARN is the Data Operating System that enables them to analyze, manipulate or process that data. At the base of HDP exists our data storage environment known as the Hadoop Distributed File System. In our case, Apache Hadoop will be recognized as an enterprise solution in the form of HDP. Apache Hadoop is a layered structure to process and store massive amounts of data. In this tutorial, we will explore important concepts that will strengthen your foundation in the Hortonworks Data Platform (HDP).