Learning Pyspark : Build Data-Intensive Applications Locally and Deploy at Scale Using The Combined Powers of Python and Spark 2.0

By:

Drabas, Tomasz

Contributor(s):

Lee, Denny

Material type: Text

TextPublication details: Packt Publishing Ltd. Birmingham 2017Description: 250pISBN:

9781786463708

Subject(s):

DDC classification:

005.7 DRA

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	005.7 DRA (Browse shelf(Opens below))	Not For Loan		T0050682

Total holds: 0

1. Understanding Spark
2. Resilient Distributed Datasets
3. DataFrames
4. Prepare Data for Modeling
5. Introducing MLlib
6. Introducing the ML Package
7. GraphFrames
8. TensorFrames
9. Polyglot Persistence with Blaze
10. Structured Streaming
11. Packaging Spark Applications

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