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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHER -----·> Packt Publishing
·-- LECTURESHIP ---·> Learning Path: Data Science With Apache Spark 2
·-- LECTURE DATE --·> 05-2017
02-2017 {Published}
·-- PERIOD in HRS--·> 08+
·-- SCALE ---------·> 36x50mb
·-- LECTURE LINK --·> https://goo.gl/TFG2u1
Get started with Spark for data processing and data science
In Detail
Spark is one of the most widely-used large-scale data processing engines
and runs extremely fast. It is a framework that has tools that are
equally useful for application developers as well as data scientists.
This Learning Path begins with an introduction to Apache Spark. We first
cover the basics of Spark, introduce SparkR, then look at the charting
and plotting features of Python in conjunction with Spark data
processing, and finally Spark's data processing libraries. We then
develop a real-world Spark application. Next, we enable you to become
comfortable and confident working with Spark for data science by
exploring Spark's data science libraries on a dataset of tweets.
Begin your journey into fast, large-scale, and distributed data
processing using Spark with this Learning Path.
This path navigates across the following products (in sequential order):
Apache Spark 2 for Beginners (5h 38m)
Data Science with Spark (3h 20m)