EXTENDING HADOOP FOR DATA SCIENCE:
STREAMING, SPARK, STORM, AND KAFKA
[ENGLISH]
RELEASED EXCLUSIVLY
FOR SCENE USAGE ON
07.04.2017
[#DISC]
8 X 50 MB
[PUBLISHER] LYNDA
[RUNTIME ] 2H53M4S [LINK] https://is.gd/Thpqw
[LEVEL ] INTERMEDIATE [TYPE] RETAIL
[ISO SIZE ] 438.370.304 B [CHKS] 8B5AC573
[ON STORE ] 2017.04.07 [$$$$] 200000000000 DOLLAR
[DISKNAME ] keiso_lehfordssssandk
[HELD BY ] LYNN LANGIT
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.
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