libri scuola books Fumetti ebook dvd top ten sconti 0 Carrello


Torna Indietro
ARGOMENTO:  BOOKS > INFORMATICA > APPLICATIVI > DATABASES > SQL

mishra raju kumar; raman sundar rajan - pyspark sql recipes

PySpark SQL Recipes With HiveQL, Dataframe and Graphframes

;




Disponibilità: Normalmente disponibile in 15 giorni
A causa di problematiche nell'approvvigionamento legate alla Brexit sono possibili ritardi nelle consegne.


PREZZO
48,98 €
NICEPRICE
46,53 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con Carta della cultura giovani e del merito, 18App Bonus Cultura e Carta del Docente


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Apress

Pubblicazione: 03/2019
Edizione: First Edition





Trama

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.








Sommario

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.




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.











Altre Informazioni

ISBN:

9781484243343

Condizione: Nuovo
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XXIV, 323 p. 57 illus.
Pagine Arabe: 323
Pagine Romane: xxiv


Dicono di noi