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The most comprehensive guide to big data learning in history—BigData-Notes

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2022-08-30 1 1,468

Resource Number 36592 Last Updated 2025-02-24

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The first batch of big data majors in China was opened in 2017, and the first batch of big data students graduated in 2021. Therefore, there is a shortage of talents in the field of big data, and a large number of data R&D, data analysis, and data mining engineers are needed. Since it takes a long time to learn the entire big data knowledge system, and there are many big data frameworks, many students who want to enter the industry do not know where to start, BigData-Notes brings a complete set of learning routes from language foundation, data processing, framework, etc., if you are starting from scratch, then you can refer to the technical route provided by BigData-Notes.

The most comprehensive guide to big data learning in history—BigData-Notes插图

Introduction:

1. Hadoop

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2. Hive

3、Spark

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4、Storm

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5、Flink

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6、HBase

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7、Kafka

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8、Zookeeper

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9、Flume

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10、Sqoop

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11、Azkaban

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12、Scala

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13、Big data applications are commonly packaged in a common way

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Big Data Technology Stack Mind Map:

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