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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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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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Scaling Uber’s Apache Hadoop Distributed File System for Growth

Uber Engineering

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

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Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop

Uber Engineering

With the evolution of storage formats like Apache Parquet and Apache ORC and query engines like Presto and Apache Impala , the Hadoop ecosystem has the potential to become a general-purpose, unified serving layer for workloads that can tolerate latencies … The post Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop appeared (..)

Hadoop 101
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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

In this blog post, we will discuss such technologies. If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. It is especially true in the world of big data.

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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.