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The Tale of Apache Hadoop YARN!

Analytics Vidhya

Introduction YARN stands for Yet Another Resource Negotiator, a large-scale distributed data operating system used for Big Data Analytics. The post The Tale of Apache Hadoop YARN! appeared first on Analytics Vidhya. Apart from resource management, […].

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An Ultimate Manual to Apache Oozie

Analytics Vidhya

Introduction Big data processing is crucial today. Big data analytics and learning help corporations foresee client demands, provide useful recommendations, and more. Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy.

Hadoop 306
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Hadoop as a Service (HaaS)

Dataconomy

Hadoop as a Service (HaaS) offers a compelling solution for organizations looking to leverage big data analytics without the complexities of managing on-premises infrastructure. With the rise of unstructured data, systems that can seamlessly handle such volumes become essential to remain competitive.

Hadoop 91
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How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

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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.

Big Data 269
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Google BigQuery

Dataconomy

Google BigQuery stands out as a leading force in the realm of big data analytics, harnessing the power of the cloud to provide organizations with the tools they need to process and analyze vast amounts of data efficiently. What is Google BigQuery?

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Data analytics

Dataconomy

Retail analytics In retail, analytics forecast consumer behavior, optimizing inventory and sales strategies based on data-driven insights. Machine learning Machine learning implements algorithms that automate data analysis processes, enhancing the speed and accuracy of insights.