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A Beginner’s Guide to the Basics of Big Data and Hadoop

Analytics Vidhya

Introduction In this technical era, Big Data is proven as revolutionary as it is growing unexpectedly. According to the survey reports, around 90% of the present data was generated only in the past two years. Big data is nothing but the vast volume of datasets measured in terabytes or petabytes or even more.

Hadoop 205
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A Dive into the Basics of Big Data Storage with HDFS

Analytics Vidhya

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

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Brief History of Data Engineering

Jesse Anderson

Doug Cutting took those papers and created Apache Hadoop in 2005. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. They eventually merged in 2012.

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Top 10 Hadoop Interview Questions You Must Know

Analytics Vidhya

Introduction The Hadoop Distributed File System (HDFS) is a Java-based file system that is Distributed, Scalable, and Portable. Due to its lack of POSIX conformance, some believe it to be data storage instead. HDFS and […] The post Top 10 Hadoop Interview Questions You Must Know appeared first on Analytics Vidhya.

Hadoop 233
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How to learn data engineering

Christophe Blefari

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. What is Hadoop? Who are the data engineers?

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. What are its limitations and how do the Hadoop ecosystem address them? scalability.