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Sinopsis
Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!
PySpark Recipes covers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You will learn to apply RDD to solve day-to-day big data problems. Python and NumPy are included and make it easy for new learners of PySpark to understand and adopt the model.
What You Will Learn
- Understand the advanced features of PySpark2 and SparkSQL
- Optimize your code
- Program SparkSQL with Python
- Use Spark Streaming and Spark MLlib with Python
- Perform graph analysis with GraphFrames
Data analysts, Python programmers, big data enthusiasts
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Raju Mishra has strong interests in data science and systems that have the capability of handling large amounts of data and operating complex mathematical models through computational programming. He was inspired to pursue an M. Tech in computational sciences from Indian Institute of Science in Bangalore, India. Raju primarily works in the areas of data science and its different applications. Working as a corporate trainer he has developed unique insights that help him in teaching and explaining complex ideas with ease. Raju is also a data science consultant solving complex industrial problems. He works on programming tools such as R, Python, scikit-learn, Statsmodels, Hadoop, Hive, Pig, Spark, and many others.
De la contraportada
Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!
PySpark Recipes covers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You will learn to apply RDD to solve day-to-day big data problems. Python and NumPy are included and make it easy for new learners of PySpark to understand and adopt the model.
What You Will Learn:
- Understand the advanced features of PySpark and SparkSQL
- Optimize your code
- Program SparkSQL with Python
- Use Spark Streaming and Spark MLlib with Python
- Perform graph analysis with GraphFrames
"Sobre este título" puede pertenecer a otra edición de este libro.
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Edición internacional
PySpark Recipes: A Problem-Solution Approach with PySpark2
Edición internacionalLibrería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABNR-206434
Cantidad disponible: 2 disponibles
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PYSPARK RECIPES: A PROBLEM-SOLUTION APPROACH WITH PYSPARK2 - RAJU KUMAR MISHRA
Publicado por
Apress, Incorporated, 2017
ISBN 10: 1484231406
ISBN 13: 9781484231401
Nuevo
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Librería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 370278959
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PYSPARK RECIPES: A PROBLEM-SOLUTION APPROACH WITH PYSPARK2 - RAJU KUMAR MISHRA
Publicado por
Apress, Incorporated, 2017
ISBN 10: 1484231406
ISBN 13: 9781484231401
Nuevo
Tapa blanda
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: 26375766512
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PYSPARK RECIPES: A PROBLEM-SOLUTION APPROACH WITH PYSPARK2 - RAJU KUMAR MISHRA
Publicado por
Apress, Incorporated, 2017
ISBN 10: 1484231406
ISBN 13: 9781484231401
Nuevo
Tapa blanda
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 18375766522
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PySpark Recipes
Impresión bajo demandaLibrería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Quickly find solutions to common programming problemsencountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!PySpark Recipescovers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You will learn to apply RDD to solve day-to-day big data problems. Python and NumPy are included and make it easy for new learners of PySpark to understand and adopt the model.What You Will Learn Understand the advanced features of PySpark2 and SparkSQLOptimize your codeProgram SparkSQL with PythonUse Spark Streaming and Spark MLlib with PythonPerform graph analysis with GraphFramesWho This Book Is ForData analysts, Python programmers, big data enthusiasts 292 pp. Englisch. Nº de ref. del artículo: 9781484231401
Cantidad disponible: 2 disponibles
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PySpark Recipes
Impresión bajo demandaLibrería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Raju Mishra has strong interests in data science and systems that have the capability of handling large amounts of data and operating complex mathematical models through computational programming. He was inspired to pursue an M. Tech in computat. Nº de ref. del artículo: 167614818
Cantidad disponible: Más de 20 disponibles
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PySpark Recipes : A Problem-Solution Approach with PySpark2
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quickly find solutions to common programming problemsencountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!PySpark Recipescovers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You will learn to apply RDD to solve day-to-day big data problems. Python and NumPy are included and make it easy for new learners of PySpark to understand and adopt the model.What You Will Learn Understand the advanced features of PySpark2 and SparkSQLOptimize your codeProgram SparkSQL with PythonUse Spark Streaming and Spark MLlib with PythonPerform graph analysis with GraphFramesWho This Book Is ForData analysts, Python programmers, big data enthusiasts. Nº de ref. del artículo: 9781484231401
Cantidad disponible: 1 disponibles
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PySpark Recipes
Publicado por
Apress, Apress Dez 2017, 2017
ISBN 10: 1484231406
ISBN 13: 9781484231401
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 292 pp. Englisch. Nº de ref. del artículo: 9781484231401
Cantidad disponible: 2 disponibles
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PySpark Recipes: A Problem-Solution Approach with PySpark2
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 265 pages. 9.00x6.00x0.75 inches. In Stock. Nº de ref. del artículo: zk1484231406
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PySpark Recipes: A Problem-Solution Approach with PySpark2
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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Paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_419737453
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