How to Use Word Count(wc) Command In Linux?
Understanding Word Count command in Linux In Linux, we can count files/directories or lines in a file using wc command. wc is a short form for word count that displays…
Scala Tutorials
Word “Scala” comes from a combination of “scalable” and “language”. It means that it is designed to grow with the demand of users. It was designed and developed by Martin…
Java Tutorials
Java is a general-purpose strongly typed computer-programming language that is concurrent, class-based, object-oriented, and specifically designed to have as few implementation dependencies as possible. Here strongly typed means every variable/expression has…
Hive Tutorials
Apache Hive is a Data Warehousing Infrastructure built on top of Hadoop and provides table abstraction on top of data resident in HDFS(Hadoop Distributed File System) as explained on their official…
Spark Tutorials
Apache Spark is a distributed, in-memory, and disk-based optimized open-source framework which does real-time analytics using Resilient Distributed Data(RDD) sets. It includes a streaming library, and a rich set of…
What is Inode in Linux?
An inode or Index Node is a data structure within a Linux system that provides metadata about a file-system object. A file system object in Linux can be a file…
Hadoop Tutorials
Apache Hadoop is an open-source framework that is used to store and process large datasets whose size ranges from gigabytes to petabytes of data. This framework uses multiple commodity computers…
Linux Tutorials
Linux is open-source and one of the most popular operating systems. It is one of the most important technological advancements of the last century. It has made a huge impact…
Database Tutorials
The database is an organized collection of related data or information that is treated as a single unit. The main purpose of the database is to store, collect, and retrieve…
Big Data Tutorial
“Big data” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. Here the size of the data is subjective…
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