Cargando…

Learning PySpark: build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

Detalles Bibliográficos
Autores principales:	Drabas, Tomasz, Lee, Denny, Karau, Holden
Lenguaje:	eng
Publicado:	Packt Publishing 2017
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2258496

Ejemplares similares

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

PySpark recipes: a problem-solution approach with PySpark2
por: Mishra, Raju Kumar
Publicado: (2018)

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

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

Interactive Spark using PySpark
por: Bengfort, Benjamin
Publicado: (2016)

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

Advanced Analytics with PySpark
por: Tandon, Akash, et al.
Publicado: (2022)

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)

High performance Spark: best practices for scaling and optimizing Apache Spark
por: Karau, Holden, et al.
Publicado: (2017)

Fast data processing with Spark
por: Sankar, Krishna, et al.
Publicado: (2015)

Learning Spark: lightening fast data analysis
por: Karau, Holden
Publicado: (2015)

Hadoop and PySpark for reproducibility and scalability of genomic sequencing studies
por: WHEELER, NICHOLAS R., et al.
Publicado: (2020)

Hands-on deep learning with Apache Spark: build and deploy distributed deep learning applications on Apache Spark
por: Iozzia, Guglielmo
Publicado: (2019)

Apache Spark graph processing: build, process, and analyze large-scale graphs with Spark
por: Ramamonjison, Rindra, et al.
Publicado: (2015)

Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle
por: Kakarla, Ramcharan, et al.
Publicado: (2020)

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

Large scale machine learning with Spark: discover everything you need to build robust machine learning applications with Spark 2.0
por: Karim, Md Rezaul, et al.
Publicado: (2016)

Big data analysis with Python: combine Spark and Python to unlock the powers of parallel computing and machine learning
por: Marin, Ivan, et al.
Publicado: (2019)

Agile data science 2.0: building full-stack data analytics applications with Spark
por: Jurney, Russell
Publicado: (2017)

Big data processing with Apache Spark: efficiently tackle large datasets and big data analysis with Spark and Python
por: Franco Galeano, Manuel Ignacio
Publicado: (2018)

Apache Spark usage and deployment models for scientific computing
por: Castro, Diogo, et al.
Publicado: (2019)

Machine learning with Spark and Python: essential techniques for predictive analytics
por: Bowles, Michael
Publicado: (2019)

Spark for data science: analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0
por: Duvvuri, Srinivas
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)

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)

Spark cookbook
por: Yadav, Rishi
Publicado: (2015)

Spark in action
por: Zečević, Petar, et al.
Publicado: (2017)

Beginning Apache Spark 2: with resilient distributed datasets, Spark SQL, structured streaming and Spark machine learning library
por: Luu, Hien
Publicado: (2018)

Learning real-time processing with Spark Streaming: building scalable and fault-tolerant streaming applications made easy with Spark Streaming
por: Gupta, Sumit
Publicado: (2015)

Stream processing with Apache Spark: mastering structured streaming and Spark streaming
por: Maas, Gerard, et al.
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)

Data-intensive systems: principles and fundamentals using Hadoop and Spark
por: Wiktorski, Tomasz
Publicado: (2019)

Machine learning with Spark: create scalable machine learning applications to power a modern data-driven business using Spark
por: Pentreath, Nick
Publicado: (2015)

Advanced analytics with Spark
por: Ryza, Sandy, et al.
Publicado: (2015)

Pro Spark streaming: the zen of real-time analytics using Apache Spark
por: Nabi, Zubair
Publicado: (2016)

Python microservices development: build, test, deploy, and scale microservices in Python
por: Ziadé, Tarek
Publicado: (2017)

Qt5 Python GUI programming cookbook: building responsive and powerful cross-platform applications with PyQt
por: Harwani, B M
Publicado: (2018)

Machine learning with Spark: develop intelligent machine learning systems with Spark 2.x
por: Dua, Rajdeep, et al.
Publicado: (2017)

Scala and Spark for big data analytics: tame big data with Scala and Apache Spark!
por: Karim, Md Rezaul
Publicado: (2017)

Spark GraphX in action
por: Malak, Michael S, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_6f0mhu7bca72hcm0e809alnvhe