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

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

Website or Online Data - 2017
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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.
Extend your Hadoop data science knowledge to other Apache data science tools and attendant technologies including Apache Spark, Storm, Kafka, and more.
Publisher: Carpenteria, CA : lynda.com, 2017
Copyright Date: ©2017
Additional Contributors: lynda.com (Firm)
Call Number: eResearch

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