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Hadoop Explained: How does Hadoop work and how to use it?

ProjectPro

And so spawned from this research paper, the big data legend - Hadoop and its capabilities for processing enormous amount of data. Same is the story, of the elephant in the big data room- “Hadoop” Surprised? Yes, Doug Cutting named Hadoop framework after his son’s tiny toy elephant. Why use Hadoop?

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Automated Migration and Scaling of Hadoop™ Clusters

Pinterest Engineering

Site Reliability Engineer Pinterest Big Data Infrastructure Much of Pinterests big data is processed using frameworks like MapReduce, Spark, and Flink on Hadoop YARN . Because Hadoop is stateful, we do not auto-scale the clusters; each ASG is fixed in size (desired = min = max). Terraform is utilized to create each cluster.

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Containerizing Apache Hadoop Infrastructure at Uber

Uber Engineering

As Uber’s business grew, we scaled our Apache Hadoop (referred to as ‘Hadoop’ in this article) deployment to 21000+ hosts in 5 years, to support the various analytical and machine learning use cases.

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Is Apache Iceberg the New Hadoop? Navigating the Complexities of Modern Data Lakehouses

Data Engineering Weekly

But is it truly revolutionary, or is it destined to repeat the pitfalls of past solutions like Hadoop? Danny authored a thought-provoking article comparing Iceberg to Hadoop , not on a purely technical level, but in terms of their hype cycles, implementation challenges, and the surrounding ecosystems.

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Unapologetically Technical Episode 18 – Adrian Woodhead

Jesse Anderson

In this episode of Unapologetically Technical, I interview Adrian Woodhead, a distinguished software engineer at Human and a true trailblazer in the European Hadoop ecosystem. ” Dont forget to subscribe to my YouTube channel to get the latest on Unapologetically Technical!

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Cloudera vs. Hortonworks vs. MapR - Hadoop Distribution Comparison

ProjectPro

Choosing the right Hadoop Distribution for your enterprise is a very important decision, whether you have been using Hadoop for a while or you are a newbie to the framework. Different Classes of Users who require Hadoop- Professionals who are learning Hadoop might need a temporary Hadoop deployment.

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Getting to Know Hadoop 3.0 -Features and Enhancements

ProjectPro

Hadoop was first made publicly available as an open source in 2011, since then it has undergone major changes in three different versions. Apache Hadoop 3 is round the corner with members of the Hadoop community at Apache Software Foundation still testing it. The major release of Hadoop 3.x x vs. Hadoop 3.x

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