ProjectPro

JUNE 6, 2025

Scala has been one of the most trusted and reliable programming languages for several tech giants and startups to develop and deploy their big data applications. Table of Contents What is Scala for Data Engineering? Why Should Data Engineers Learn Scala for Data Engineering?

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ProjectPro

JUNE 6, 2025

Spark is incredibly fast in comparison to other similar frameworks like Apache Hadoop. It is approximately 100 times quicker than Hadoop since it uses RAM rather than local memory. One of the several useful features of Spark, the Spark shell makes it easier to perform interactive data analysis processes using Python or Scala.

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Knowledge Hut

DECEMBER 26, 2023

Facebook It is a social media platform created originally by Mark Zuckerberg for college students in 2004. Most of the Data engineers working in the field enroll themselves in several other training programs to learn an outside skill, such as Hadoop or Big Data querying, alongside their Master's degree and PhDs.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Zalando Engineering

FEBRUARY 28, 2018

For the sake of comparison, let’s recap the Hadoop way of working: Hadoop saves intermediate states to disk and communicates over a network. In fact, in a 2004 mapReduce research paper the designer states that key-value pairs is a key choice in designing mapReduce. Provides in memory storage for cached RDD’s.

Data Analysis 40

Data Analysis Hadoop SQL Datasets 40

Jesse Anderson

DECEMBER 12, 2022

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.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130