Pyspark SQL Recipes: With Hiveql, Dataframe and Graphframes

Mishra, Raju Kumar; Raman, Sundar Rajan

ISBN 10: 148424334X ISBN 13: 9781484243343
Editore: Apress, Incorporated, 2019
Nuovi Brossura

Da Biblios, Frankfurt am main, HESSE, Germania Valutazione del venditore 4 su 5 stelle 4 stelle, Maggiori informazioni sulle valutazioni dei venditori

Venditore AbeBooks dal 10 settembre 2024

Questo articolo specifico non è più disponibile.

Riguardo questo articolo

Descrizione:

PRINT ON DEMAND. Codice articolo 18376638353

Segnala questo articolo

Riassunto:

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.

What You Will Learn

  • 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

Who This Book Is For
Data scientists, Python programmers, and SQL programmers.




Informazioni sull?autore: Raju Kumar 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. His venture Walsoul Private Ltd provides training in data science, programming, and big data.


Sundar Rajan Raman is an artificial intelligence practitioner currently working at Bank of America. He holds a Bachelor of Technology degree from the National Institute of Technology, India. Being a seasoned Java and J2EE programmer he has worked on critical applications for companies such as AT&T, Singtel, and Deutsche Bank. He is also a seasoned big data architect. His current focus is on artificial intelligence space including machine learning and deep learning.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Dati bibliografici

Titolo: Pyspark SQL Recipes: With Hiveql, Dataframe ...
Casa editrice: Apress, Incorporated
Data di pubblicazione: 2019
Legatura: Brossura
Condizione: New

I migliori risultati di ricerca su AbeBooks

Vedi altre 7 copie di questo libro

Vedi tutti i risultati per questo libro