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Tag: hadoop

Frequently Asked Hadoop Interview Questions – Part 1

Hadoop interview questions
In this first Part of Hadoop interview Questions, we would be discussing various questions related to Big Data Hadoop Ecosystem. We have given relevant posts with most of the questions which you can refer for practical implementation. What are the different types of File formats in hive? Ans. Different...
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6 Undeniable Reasons to Learn Hadoop

bigdata-1
The Hadoop market is undergoing phenomenal growth and continues to show steep growth rate. Looking at the current growth, it wouldn’t be an exaggeration to say that Hadoop is the best option that is cost-effective as well as scalable, open source substitute for commercially available Big Data management suites. Hadoop...
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Ambari Installation Guide – (part I)

1- Ambari Installation Guide- part 1
What is Ambari ? The Apache’s Ambari is a Hadoop management tool aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. Ambari provides an intuitive, easy-to-use Hadoop management web UI backed by its restful APIs (Definition given by Apache Ambari) How...
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Introduction to Spark RDD and Basic Operations in RDD

spark-RDD
In this post, we will be discussing RDD in Spark and will be performing some basic operations like creation of RDD, Transformation, and Actions. Let’s start our discussion with MapReduce and the challenges associated with it which led to the innovation of Spark. MapReduce greatly simplified “Big Data” analysis on...
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Configuring Trash in HDFS

Trash Configuration in Hadoop
Apache Hadoop Provides a trash feature. Trash feature is very helpful for Hadoop Administrators in case of accidental deletion of files and directories. If trash is enabled and a file or directory is deleted, the file is moved to the .Trash directory in the user’s home directory instead of...
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Configuring Rack Awareness on Hadoop Using Centos

Rack Awareness in Hadoop
This blog gives you information about Rack Awareness in Apache Hadoop. HDFS block placement uses rack awareness for fault tolerance by placing one block replica on a different rack. This ensures data availability during network switch failure or a partition within the cluster. Rack awareness is very helpful in...
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Commissioning and Decommissioning of Datanode in Hadoop

Decommissioning and Commissioning
Commissioning of nodes stand for adding new nodes in current cluster which operates your Hadoop framework. In contrast, Decommissioning of nodes stands for removing nodes from your cluster. This is very useful utility to handle node failure during the operation of Hadoop cluster without stopping entire Hadoop nodes in...
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Map reduce Use case – Titanic Data Analysis

titanic cover pic
There have been huge disasters in history, but the magnitude of the Titanic’s disaster ranks as high as the depth it sank to. So much so that subsequent disasters have always been described as “titanic in proportion” – implying huge losses. Anyone who has read about the Titanic, know...
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10 Big Differences between Hadoop 1 & Hadoop 2

Hadoop – the solution for deciphering the avalanche of Big Data – has come a long way from the time Google published its paper on Google File System in 2003 and MapReduce in 2004. It created waves with its scale-out and not scale-up strategy. Inroads from Doug Cutting and...
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