Important Components in Apache Hadoop Stack
Apache HDFS
Apache HDFS is one of the core significant technologies of Apache Hadoop which acted as a driving force for the next level elevation of Big Data industry. This cost-effective technology to process huge volumes of data revolutionized the Big Data industry.

Apache MapReduce
Applications those effective process huge volumes of data can be created using Apache MapReduce framework. This program model and process technique are based on Java programming language.

Apache Mahout
Apache Mahout is a library of scalable algorithms (machine learning) which provides data science tools for deriving meaningful patterns from the clusters of big data stored in HDFS.
Apache Hive
Apache Hive is a data warehouse application that is used to access and manage the large sets of data stored in Hadoop Distributed File System (HDFS). This is an SQL-like interface which provides a mechanism to query the data.
Apache Pig
Apache Pig is used for analyzing data analysis programs that are written in the high-level language and stored in large data sets.
Apache Zookeeper
Apache Zookeeper is a centralized server that provides distributed configuration service for distributed systems. This helps in managing of essential configuration information, naming and distributed synchronization.
Apache HBase
A real-time read/write access to huge volumes of data sets in the Hadoop Distributed File System is achieved with the help of Apache HBase. Apache HBase effectively combines data sources that are of various schemas and data structures.
Apache Oozie
Any jobs created in Apache Hadoop can be easily managed with the help of Apache Oozie. This significant Apache product is a workflow scheduler system is integrates effectively with other components of Apache Hadoop System.
Apache Ambari
Provisioning, managing and monitoring Hadoop system is made even simpler with the evolution of Apache Ambari. It provides a user-friendly and logical UI (User Interface) to manage Hadoop system.
Learn more about the Apache Hadoop and its exceptional capabilities to create a progressive career in the Big Data industry.
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