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Top 8 Hadoop Projects to Work in 2024

Knowledge Hut

That's where Hadoop comes into the picture. Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Why Are Hadoop Projects So Important?

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Best of 2022: Top 5 Financial Services Blog Posts

Precisely

Let’s further explore the impact of data in this industry as we count down the top 5 financial services blog posts of 2022. #5 Many institutions need to access key customer data from mainframe applications and integrate that data with Hadoop and Spark to power advanced insights. But what does that look like in practice?

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How to learn data engineering

Christophe Blefari

Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. In order to understand today's data engineering I think that this is important to at least know Hadoop concepts and context and computer science basics.

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The value of CDP Public Cloud over legacy Hadoop-on-IaaS implementations

Cloudera

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Introduction.

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Building Trust and Combating Abuse On Our Platform

LinkedIn Engineering

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. In this blog post, we discuss how we are harnessing AI to help us with abuse prevention and share an overview of our infrastructure and the role it plays in identifying and mitigating abusive behavior on our platform.

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Securely Scaling Big Data Access Controls At Pinterest

Pinterest Engineering

In this post, we focus on how we enhanced and extended Monarch , Pinterest’s Hadoop based batch processing system, with FGAC capabilities. The rate at which we were creating new restricted datasets threatened to outrun the number of clusters we could build and support.

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Enhancing Efficiency: Robinhood’s Batch Processing Platform

Robinhood

Together, we are building products and services that help create a financial system everyone can participate in. In this blog, we explore the evolution of our in-house batch processing infrastructure and how it helps Robinhood work smarter. While building this newer architecture, we encountered new challenges. and Sreeram R.

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