Articoli correlati a PySpark Recipes: A Problem-Solution Approach with PySpark2
Sinossi
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
Who This Book Is For
Data analysts, Python programmers, big data enthusiasts
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
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.
Dalla quarta di copertina
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
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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PySpark Recipes: A Problem-Solution Approach with PySpark2
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Condizione: 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. Codice articolo 167614818
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Taschenbuch. Condizione: 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. Codice articolo 9781484231401
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Taschenbuch. Condizione: 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. Codice articolo 9781484231401
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PySpark Recipes : A Problem-Solution Approach with PySpark2
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Taschenbuch. Condizione: 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. Codice articolo 9781484231401
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