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5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

SEPTEMBER 30, 2014

"Hadoop is a key ingredient in allowing LinkedIn to build many of our most computationally difficult features, allowing us to harness our incredible data about the professional world for our users," said Jay Kreps, Principal Engineer, LinkedIn.

Hadoop 52
Hadoop Unstructured Data ETL Tools ETL System 52
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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. Spark can be used interactively also for data processing.

Scala 96
Scala Hadoop Datasets Java 96
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