Remove 2004 Remove Hadoop Remove Programming
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Brief History of Data Engineering

Jesse Anderson

They created MapReduce and GFS in 2004. Doug Cutting took those papers and created Apache Hadoop in 2005. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL.

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Data Analysis with Spark

Zalando Engineering

It achieves this using ideas from functional programming such as fault tolerance, which works by replaying functional transformation over original datasets. For the sake of comparison, let’s recap the Hadoop way of working: Hadoop saves intermediate states to disk and communicates over a network. map, flatMap.

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Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

Greg Rahn: Toward the end of that eight-year stint, I saw this thing coming up called Hadoop and an engine called Hive. So, I think the prominent engines at the time for data processing on top of data residing in HDFS was Hive, and Hive was basically a SQL to MapReduce program. Say, circa 2004 when I started at Oracle.

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Industry Interview Series- How Big Data is Transforming Business Intelligence?

ProjectPro

Solocal has taken big data to the next stage of BI by designing a novel vision of BI with the open source distributed computing framework Hadoop. It replaced its traditional BI structure by integrating big data and Hadoop."-April In BI – there is a need to use ETL on top of Hadoop as there is not much scripting.

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How to Become a Data Engineer in 2024?

Knowledge Hut

This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. They achieve this through a programming language such as Java or C++. Facebook It is a social media platform created originally by Mark Zuckerberg for college students in 2004.