Cargando…

PySpark recipes : a problem-solution approach with PySpark2 /

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 R...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Mishra, Raju Kumar (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	[United States] : Apress, [2018]
Temas:	Python (Computer program language) SPARK (Computer program language) Computer Science. Big Data. Programming Techniques. Programming Languages, Compilers, Interpreters. Data Mining and Knowledge Discovery. Python (Langage de programmation) Computer programming > software development. Programming & scripting languages: general. Data mining. Databases. COMPUTERS > Programming Languages > General.
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

PySpark SQL Recipes : with HiveQL, Dataframe and Graphframes /
por: Mishra, Raju Kumar, et al.
Publicado: (2019)

Machine learning with PySpark : with natural language processing and recommender systems /
por: Singh, Pramod, 1954-
Publicado: (2019)

Hands-on big data analytics with PySpark : analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs /
por: Lai, Rudy, et al.
Publicado: (2019)

PySpark Cookbook : Over 60 Recipes for Implementing Big Data Processing and Analytics Using Apache Spark and Python.
por: Drabas, Tomasz
Publicado: (2018)

Learning PySpark : build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 /
por: Drabas, Tomasz, et al.
Publicado: (2017)

Learning PySpark : build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 /
por: Drabas, Tomasz, et al.
Publicado: (2017)

Introduction to PySpark : from transformations and actions to performance--using the Spark Python API /
Publicado: (2016)

Nyūmon PySpark : Python to Jupyter de katsuyōsuru Spark2 ekoshisutemu /
por: Drabas, Tomasz, et al.
Publicado: (2017)

Zaawansowana analiza danych w PySpark : metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark /
por: Tandon, Akash, et al.
Publicado: (2023)

Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark /
por: Kane, Frank
Publicado: (2017)

Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark /
por: Kane, Frank
Publicado: (2017)

Learn PySpark : build Python-based machine learning and deep learning models /
por: Singh, Pramod
Publicado: (2019)

ADVANCED ANALYTICS WITH PYSPARK patterns for learning from data at scale using Python and Spark /
por: Tandon, Akash, et al.
Publicado: (2022)

Apache Spark with Python : big data with PySpark and Spark /
por: Tao W, et al.
Publicado: (2018)

Building custom transformers and estimators to extend PySpark's ML Pipelines.
Publicado: (2021)

Apache Spark Streaming with Python and PySpark /
por: Lee, James, et al.
Publicado: (2018)

PySpark cookbook : over 60 recipes for implementing big data processing and analytics using Apache Spark and Python /
por: Lee, Denny, et al.
Publicado: (2018)

Learn data analysis with Python : lessons in coding /
por: Henley, A. J., et al.
Publicado: (2018)

Advanced data analytics using Python : with machine learning, deep learning and NLP examples /
por: Mukhopadhyay, Sayan
Publicado: (2018)

Data science fundamentals for Python and MongoDB /
por: Paper, David
Publicado: (2018)

Mastering Numerical Computing with NumPy : Master Scientific Computing and Perform Complex Operations with Ease.
por: Cuhadaroglu, Mert
Publicado: (2018)

Deep learning with Python : a hands-on introduction /
por: Ketkar, Nikhil
Publicado: (2017)

Deep learning with Python : a hands-on introduction /
por: Ketkar, Nikhil
Publicado: (2017)

Machine learning with Pyspark : with natural language processing and recommender systems /
por: Singh, Pramod
Publicado: (2022)

Machine learning with Pyspark : with natural language processing and recommender systems /
por: Singh, Pramod
Publicado: (2022)

Analyzing data using Spark 2.0 DataFrames with Python : learning the basics of Python and Spark DataFrames, and how they work with big data /
Publicado: (2017)

Data analytics with Spark using Python /
por: Aven, Jeffrey
Publicado: (2018)

Interactive Spark using PySpark /
por: Bengfort, Benjamin, et al.
Publicado: (2016)

Apache Spark 2 for beginners : develop large-scale distributed data processing applications using Spark 2 in Scala and Python /
por: Thottuvaikkatumana, Rajanarayanan
Publicado: (2016)

Data analysis and visualization using Python : analyze data to create visualizations for BI systems /
por: Embarak, Ossama
Publicado: (2018)

Practical web scraping for data science : best practices and examples with Python /
por: Broucke, Seppe vanden, 1986-, et al.
Publicado: (2018)

Text analytics with Python : a practical real-world approach to gaining actionable insights from your data /
por: Sarkar, Dipanjan
Publicado: (2016)

Beginning Data Analysis with Python And Jupyter [Book] : Use powerful industry-standard tools to unlock new, actionable insight from your existing data.
por: Galea, Alex
Publicado: (2018)

Python data analytics : with Pandas, NumPy, and Matplotlib /
por: Nelli, Fabio
Publicado: (2018)

Practical Data Wrangling.
por: Visochek, Allan
Publicado: (2017)

Principles of strategic data science : creating value from data, big and small /
por: Prevos, Peter
Publicado: (2019)

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /
por: Kane, Frank
Publicado: (2017)

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /
por: Kane, Frank
Publicado: (2017)

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /
por: Kane, Frank
Publicado: (2017)

Spark programming in Python for beginners with Apache Spark 3.
Publicado: (2022)