Zobrazeno 1 - 10
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pro vyhledávání: '"Raju Kumar Mishra"'
Autor:
Atul S. Khot, Raju Kumar Mishra
Learn functional data structures and algorithms for your applications and bring their benefits to your work nowKey Features[•] Moving from object-oriented programming to functional programming? This book will help you get started with functional pr
Autor:
Raju Kumar Mishra, Sundar Rajan Raman
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 im
Autor:
Raju Kumar Mishra, Sundar Rajan Raman
Publikováno v:
PySpark SQL Recipes ISBN: 9781484243343
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf388f54ed15658dce7af990450d8ce
https://doi.org/10.1007/978-1-4842-4335-0_9
https://doi.org/10.1007/978-1-4842-4335-0_9
Autor:
Raju Kumar Mishra, Sundar Rajan Raman
Publikováno v:
PySpark SQL Recipes ISBN: 9781484243343
Reading data from different types of file formats and saving the result to many data sinks is an inevitable part the data scientist’s job. In this chapter, we are going to learn the following recipes. Through these recipes, we will learn how to rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c13107089218667fbbd997ac55a5267b
https://doi.org/10.1007/978-1-4842-4335-0_3
https://doi.org/10.1007/978-1-4842-4335-0_3
Autor:
Raju Kumar Mishra, Sundar Rajan Raman
Publikováno v:
PySpark SQL Recipes ISBN: 9781484243343
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::242746a374eb4cb2283121a980b07e8f
https://doi.org/10.1007/978-1-4842-4335-0_8
https://doi.org/10.1007/978-1-4842-4335-0_8
Autor:
Sundar Rajan Raman, Raju Kumar Mishra
Publikováno v:
PySpark SQL Recipes ISBN: 9781484243343
In this chapter, we look at various Spark SQL recipes that optimize SQL queries. Apache Spark is an open source framework that is developed with Big Data volumes in mind. It is supposed to handle huge volumes of data. It is supposed to be used in sce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4ef2ec32060b8b13ac947c9d394d1ec
https://doi.org/10.1007/978-1-4842-4335-0_7
https://doi.org/10.1007/978-1-4842-4335-0_7
Autor:
Sundar Rajan Raman, Raju Kumar Mishra
Publikováno v:
PySpark SQL Recipes ISBN: 9781484243343
Once we create DataFrames, we can perform many operations on them. Some operations will reshape a DataFrame to add more features to it or remove unwanted data. Operations on DataFrames are also helpful in getting insights of the data using explorator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2faf6f4b40a4db21676ea61ec24b861
https://doi.org/10.1007/978-1-4842-4335-0_4
https://doi.org/10.1007/978-1-4842-4335-0_4
Autor:
Raju Kumar Mishra, Sundar Rajan Raman
Publikováno v:
PySpark SQL Recipes ISBN: 9781484243343
The amount of data that’s generated increases every day. Technology advances have facilitated the storage of huge amounts of data. This data deluge has forced users to adopt to the distributed system. Distributed systems look for distributed progra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a9d491cd81135ddcd8460d77816ae36
https://doi.org/10.1007/978-1-4842-4335-0_1
https://doi.org/10.1007/978-1-4842-4335-0_1
Autor:
Raju Kumar Mishra, Sundar Rajan Raman
Publikováno v:
PySpark SQL Recipes ISBN: 9781484243343
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae979d32f20be6d14a96a396c570542a
https://doi.org/10.1007/978-1-4842-4335-0_2
https://doi.org/10.1007/978-1-4842-4335-0_2