Big Data Processing Frameworks

Hadoop

Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The core components include the Hadoop Distributed File System (HDFS) for storage and MapReduce for processing.

Also known as: Apache Hadoop, Hadoop Framework, Hadoop Ecosystem, HDFS, MapReduce

🧊Why learn Hadoop?

Developers should learn Hadoop when working with big data applications that require handling petabytes of data across distributed systems, such as log processing, data mining, and machine learning tasks. It is particularly useful in scenarios where traditional databases are insufficient due to volume, velocity, or variety of data, enabling cost-effective scalability and fault tolerance.

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Hadoop vs Apache Spark→Hadoop vs Google Cloud Dataflow→Hadoop vs Amazon Emr→

Learning Resources

Apache Hadoop Official Documentation

Hadoop Tutorial for Beginners on TutorialsPoint

Big Data and Hadoop Essentials on Udemy

Hadoop Explained in 5 Minutes on YouTube

Hadoop: The Definitive Guide by Tom White

Related Tools

Hdfs Mapreduce Apache Spark Apache Hive Apache Pig

Alternatives to Hadoop

Apache Spark Google Cloud Dataflow Amazon Emr

Other Big Data Processing Frameworks

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.NET is a free, cross-platform, open-source developer platform for building many types of applications, including web, mobile, desktop, games, IoT, and cloud services. It provides a unified runtime and framework with libraries for common tasks, supporting multiple programming languages like C#, F#, and Visual Basic. The platform includes tools for development, debugging, and deployment across various operating systems.

.NET is a free, cross-platform, open-source developer platform for building many types of applications, including web, mobile, desktop, games, IoT, and cloud services. It provides a unified runtime and framework with libraries for common tasks, supporting multiple programming languages like C#, F#, and Visual Basic. The platform includes tools for development, debugging, and deployment, enabling developers to create high-performance, scalable applications.

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