Hands-On Big Data Analytics with PySpark : Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

Hands-On Big Data Analytics with PySpark : Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

Enregistré dans:

Détails bibliographiques
Auteur principal:	Lai, Rudy. (Auteur)
Autres auteurs:	Potaczek, Bartłomiej. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2019.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Essential PySpark for Scalable Data Analytics : A beginner's guide to harnessing the power and ease of PySpark 3
par: Nudurupati, Sreeram.
Publié: (2021)

Learning PySpark
par: Drabas, Tomasz.
Publié: (2017)

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

Scala and Spark for big data analytics
par: Karim, Rezaul Md..
Publié: (2017)

Practical Big Data Analytics : Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
par: Dasgupta, Nataraj.
Publié: (2018)

Big data analytics : a handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters.
par: Ankam, Venkat.
Publié: (2016)

Real-time big data analytics : design, process, and analyze large sets of complex data in real time
par: Gupta, Sumit.
Publié: (2016)

Frank Kane's taming big data with Apache Spark and Python
par: Kane, Frank.
Publié: (2017)

Big data analytics
par: Rao, Calyampudi Radhakrishna (1920-2023).
Publié: (2015)

Big Data and Analytics : The key concepts and practical applications of big data analytics
par: Kumar, Jugnesh.

Spark for Data Science
par: Duvvuri, Srinivas.
Publié: (2016)

Data Processing with Optimus : Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
par: Leon, Argenis.
Publié: (2021)

Big data analytics with Java
par: Mehta, Rajat.
Publié: (2017)

Big data analytics with R
par: Walkowiak, Simon.
Publié: (2016)

Big data analytics with SAS
par: Pope, David.
Publié: (2017)

Apache Spark 2 : master complex big data processing, stream analytics, and machine learning with Apache Spark
Publié: (2018)

Mastering Spark for data science
par: Morgan, Andrew.
Publié: (2017)

Apache Spark for data science cookbook : over insightful 90 recipes to get lightning-fast analytics with Apache Spark
par: Chitturi, Padma Priya.
Publié: (2017)

Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph
par: Loshin, David.
Publié: (2014)

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

Big Data Analysis with Python : Combine Spark and Python to unlock the powers of parallel computing and machine learning
par: Marin, Ivan (1973-....).
Publié: (2019)

Fast data processing with Spark 2
par: Sankar, Krishna.
Publié: (2016)

Big data analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data
par: Alla, Sridhar.
Publié: (2018)

Querying Databricks with Spark SQL : Leverage SQL to query and analyze Big Data for insights (English Edition)
par: Aspin, Adam.

Geospatial Data Analytics on AWS : Discover how to manage and analyze geospatial data in the cloud
par: Bateman, Scott.

Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals
par: Lee, James.
Publié: (2018)

Hands-on data analysis with NumPy and pandas : implement Python packages from data manipulation to processing
par: Miller, Curtis.
Publié: (2018)

Analytics in a big data world : the essential guide to data science and its applications
par: Baesens, Bart (1975-....).
Publié: (2014)

Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum
par: Gollapudi, Sunila.
Publié: (2013)

Machine learning with Spark and Python : essential techniques for predictive analytics
par: Bowles, Michael (19..-....).

Spark Cookbook
par: Yadav, Rishi.
Publié: (2015)

Apache Spark quick start guide : quickly learn the art of writing efficient big data applications with Apache Spark
par: Mehrotra, Shrey.
Publié: (2019)

Simplify Big Data Analytics with Amazon EMR : A beginner's guide to learning and implementing Amazon EMR for building data analytics solutions
par: Mishra, Sakti.
Publié: (2022)

Data Engineering with Scala and Spark : Build streaming and batch pipelines that process massive amounts of data using Scala
par: Tome, Eric.

Scalable Data Analytics with Azure Data Explorer : Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
par: Myerscough, Jason.
Publié: (2022)

Spark : valorisez vos données en temps réel avec Spark ML et Hadoop
par: Jouin, Romain.
Publié: (2020)

Spark : The Life of Electricity and the Electricity of Life
par: Jorgensen, Timothy J..
Publié: (2021)

Machine learning with Spark
par: Dua, Rajdeep.
Publié: (2017)

Learning Spark SQL
par: Sarkar, Aurobindo.
Publié: (2017)

Syntony and Spark : The Origins of Radio
par: Aitken, Hugh G.J..
Publié: (2014)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1