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Lynda - Extending Hadoop for Data Science: Streaming, Spark, Storm, and Kafka

Posted By: U.N.Owen
Lynda - Extending Hadoop for Data Science: Streaming, Spark, Storm, and Kafka

Lynda - Extending Hadoop for Data Science: Streaming, Spark, Storm, and Kafka
Size: 421 MB | Duration: 2h 53m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Extend your Hadoop data science knowledge by learning how to use other Apache data science platforms, libraries and tools. This course goes beyond the basics of Hadoop MapReduce, into other key Apache libraries to bring flexibility to your Hadoop clusters. Coverage of core Spark, SparkSQL, SparkR, and SparkML is included. Learn how to scale and visualize your data with interactive Databricks clusters and notebooks and other implementations. This course is designed to help those working data science, development, or analytics get familiar with attendant technologies.

* Apache Spark
* Spark Streaming
* Jupyter Notebooks
* Apache Storm
* Apache Kafka


Lynda - Extending Hadoop for Data Science: Streaming, Spark, Storm, and Kafka

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