The Resource PySpark SQL Recipes : With HiveQL, Dataframe and Graphframes, by Raju Kumar Mishra, Sundar Rajan Raman, (electronic resource)

PySpark SQL Recipes : With HiveQL, Dataframe and Graphframes, by Raju Kumar Mishra, Sundar Rajan Raman, (electronic resource)

Label
PySpark SQL Recipes : With HiveQL, Dataframe and Graphframes
Title
PySpark SQL Recipes
Title remainder
With HiveQL, Dataframe and Graphframes
Statement of responsibility
by Raju Kumar Mishra, Sundar Rajan Raman
Creator
Contributor
Author
Author
Provider
Subject
Language
eng
Summary
Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your PySpark SQL code. PySpark SQL Recipes starts with recipes on creating dataframes from different types of data source, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You'll also discover how to solve problems in graph analysis using graphframes. On completing this book, you'll have ready-made code for all your PySpark SQL tasks, including creating dataframes using data from different file formats as well as from SQL or NoSQL databases. You will: Understand PySpark SQL and its advanced features Use SQL and HiveQL with PySpark SQL Work with structured streaming Optimize PySpark SQL Master graphframes and graph processing
http://library.link/vocab/creatorName
Mishra, Raju Kumar
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • omYqz7R4sZ8
  • UY7gHivjPIc
Image bit depth
0
LC call number
QA76.9.B45
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Raman, Sundar Rajan.
  • SpringerLink
http://library.link/vocab/subjectName
  • Big data
  • Open source software
  • Computer programming
  • Python (Computer program language)
  • Computer science
  • Big Data
  • Open Source
  • Python
  • Programming Languages, Compilers, Interpreters
Label
PySpark SQL Recipes : With HiveQL, Dataframe and Graphframes, by Raju Kumar Mishra, Sundar Rajan Raman, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Chapter 1: Introduction to PySparkSQL -- Chapter 2: Some time with Installation -- Chapter 3: IO in PySparkSQL -- Chapter 4 : Operations on PySparkSQL DataFrames -- Chapter 5 : Data Merging and Data Aggregation using PySparkSQL -- Chapter 6: SQL, NoSQL and PySparkSQL -- Chapter 7: Structured Streaming -- Chapter 8 : Optimizing PySparkSQL -- Chapter 9 : GraphFrames
Dimensions
unknown
Extent
XXIV, 323 p. 57 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9781484243350
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4842-4335-0
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4842-4335-0
Label
PySpark SQL Recipes : With HiveQL, Dataframe and Graphframes, by Raju Kumar Mishra, Sundar Rajan Raman, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Chapter 1: Introduction to PySparkSQL -- Chapter 2: Some time with Installation -- Chapter 3: IO in PySparkSQL -- Chapter 4 : Operations on PySparkSQL DataFrames -- Chapter 5 : Data Merging and Data Aggregation using PySparkSQL -- Chapter 6: SQL, NoSQL and PySparkSQL -- Chapter 7: Structured Streaming -- Chapter 8 : Optimizing PySparkSQL -- Chapter 9 : GraphFrames
Dimensions
unknown
Extent
XXIV, 323 p. 57 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9781484243350
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4842-4335-0
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4842-4335-0

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