Overview of Apache Hadoop As Big Data has taken over almost every industry vertical that
In this Apache Hadoop tutorial you will learn Hadoop from the basics to pursue a big data Hadoop job role. Through this tutorial you will know the Hadoop architecture, its main components like HDFS, MapReduce, HBase, Hive, Pig, Sqoop, Flume, Impala, Zookeeper and more. You will also learn Hadoop installation, how to create a multi-node Hadoop cluster and deploy it successfully. Learn Big Data Hadoop from Intellipaat Hadoop training and fast-track your career.
Hadoop Tutorial – Learn Hadoop from Experts
In this Apache Hadoop tutorial you will learn Hadoop from the basics to pursue a big data Hadoop job role. Through this tutorial you will know the Hadoop architecture, its main components like HDFS, MapReduce, HBase, Hive, Pig, Sqoop, Flume, Impala, Zookeeper and more. You will also learn Hadoop installation, how to create a multi-node Hadoop cluster and deploy it successfully. Learn Big Data Hadoop from Intellipaat Hadoop training and fast-track your career.
Overview of Apache Hadoop
As Big Data has taken over almost every industry vertical that deals with data, the requirement for effective and efficient tools for processing Big Data is at an all-time high. Hadoop is one such tool that has brought a paradigm shift in this world. Thanks to the robustness that Hadoop brings to the table, users can process Big Data and work around it with ease. The average salary of a Hadoop Administrator which is in the range of US$130,000 is also very promising.
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Watch this Hadoop Tutorial for Beginners video before going further on this Hadoop tutorial.
Apache Hadoop is a Big Data ecosystem consisting of open source components that essentially change the way large datasets are analyzed, stored, transferred and processed. Contrasting to traditional distributed processing systems, Hadoop facilitates multiple kinds of analytic workloads on same datasets at the same time.
Qualities That Make Hadoop Stand out of the Crowd
Single namespace by HDFS makes content visible across all the nodes
Easily administered using High-Performance Computing (HPC)
Querying and managing distributed data are done using Hive
Pig facilitates analyzing the large and complex datasets on Hadoop
HDFS is designed specially to give high throughput instead of low latency.
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What is Apache Hadoop?
Apache Hadoop is an open-source data platform or framework developed in Java, dedicated to store and analyze the large sets of unstructured data.
With the data exploding from digital mediums, the world is getting flooded with cutting-edge big data technologies. However, Apache Hadoop was the first one which caught this wave of innovation.
Recommended Audience
Intellipaat’s Hadoop tutorial is designed for Programming Developers and System Administrators
Project Managers eager to learn new techniques of maintaining large datasets
Experienced working professionals aiming to become Big Data Analysts
Mainframe Professionals, Architects & Testing Professionals
Entry-level programmers and working professionals in Java, Python, C++, eager to learn the latest Big Data technology.
If you have any doubts or queries related to Hadoop, do post them on Big Data Hadoop and Spark Community!
Originally published at www.intellipaat.com on August 12, 2019
