Angebote zu "Spark" (11 Treffer)

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Learning Spark
26,99 € *
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Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You?ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. * Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell * Leverage Spark?s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib * Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm * Learn how to deploy interactive, batch, and streaming applications * Connect to data sources including HDFS, Hive, JSON, and S3 * Master advanced topics like data partitioning and shared variables

Anbieter: buecher.de
Stand: 16.07.2019
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High Performance Spark
32,99 € *
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Apache Spark is amazing when everything clicks. But if you haven´t seen the performance improvements you expected, or still don´t feel confident enough to use Spark in production, this practical book is for you.

Anbieter: buecher.de
Stand: 18.07.2019
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Spark: The Definitive Guide
39,99 € *
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Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.

Anbieter: buecher.de
Stand: 16.07.2019
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SPARK 2014 Reference Manual
15,99 € *
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SPARK 2014 is a programming language and a set of verification tools designed to meet the needs of high-assurance software development. SPARK 2014 is based on Ada 2012, both subsetting the language to remove features that defy verification, but also extending the system of contracts and aspects to support modular, formal verification. This manual is available online for free at adacore.com. This manual is printed in grayscale.

Anbieter: buecher.de
Stand: 16.07.2019
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Stream Processing with Apache Spark
45,99 € *
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Anbieter: buecher.de
Stand: 16.07.2019
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Advanced Analytics with Spark
39,99 € *
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In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world datasets together to teach you how to approach analytics problems by example.

Anbieter: buecher.de
Stand: 16.07.2019
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SPARK 2014 User´s Guide
17,99 € *
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SPARK 2014 is a programming language and a set of verification tools designed to meet the needs of high-assurance software development. SPARK 2014 is based on Ada 2012, both subsetting the language to remove features that defy verification, but also extending the system of contracts and aspects to support modular, formal verification. This manual is available online for free at adacore.com. This manual is printed in grayscale.

Anbieter: buecher.de
Stand: 16.07.2019
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Agile Data Science 2.0
39,99 € *
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With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.

Anbieter: buecher.de
Stand: 16.07.2019
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Machine Learning with PySpark
19,99 € *
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Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark. Machine Learning with PySpark shows you how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. You´ll also see unsupervised machine learning models such as K-means and hierarchical clustering. A major portion of the book focuses on feature engineering to create useful features with PySpark to train the machine learning models. The natural language processing section covers text processing, text mining, and embedding for classification. After reading this book, you will understand how to use PySpark´s machine learning library to build and train various machine learning models. Additionally you´ll become comfortable with related PySpark components, such as data ingestion, data processing, and data analysis, that you can use to develop data-driven intelligent applications. What You Will Learn Build a spectrum of supervised and unsupervised machine learning algorithms Implement machine learning algorithms with Spark MLlib libraries Develop a recommender system with Spark MLlib libraries Handle issues related to feature engineering, class balance, bias and variance, and cross validation for building an optimal fit model Who This Book Is For Data science and machine learning professionals.

Anbieter: buecher.de
Stand: 16.07.2019
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