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Create scalable machine learning applications to power a modern data-driven business using Spark 2.x About This Book * Get to the;
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Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and;
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learning In Detail There's a reason why Apache Spark has become one of the most popular tools in Machine Learning - its ability to handle;
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Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial;
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Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable;
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focusing on two key algorithms. This new second edition improves with the addition of Spark-a ML framework from the Apache foundation. By;
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teaches readers to use Spark for stream and batch data processing. It starts with an introduction to the Spark architecture and ecosystem;
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Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own;
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to: Learn Python, SQL, Scala, or Java high-level APIs: DataFrames and Datasets Peek under the hood of the Spark SQL engine to;
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scalable data analysis. What You Will Learn * Familiarize and set up the Breeze and Spark libraries and use data structures * Import data;
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various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help;
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of instructions and practical examples to extend the most up-to date Spark functionalities. * Extend your data processing capabilities to process huge;
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A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark. Key;
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Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book;
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Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book * Perform big;
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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;
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Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker;
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challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning;
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technologies including Apache Spark to derive actionable insights from Big Data in real-time Key Features Make a hands-on start in the fields of Big;
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Beginning-Intermediate user level;...
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Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 About This Book * Perform data;
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Is For If you are a developer, engineer, or an architect and want to learn how to use Apache Spark in a web-scale project, then this is the;
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Combine the power of Apache Spark and Python to build effective big data applications Key Features Perform effective data processing;
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Data in all domains is getting bigger. How can you work with it efficiently? This book introduces Apache Spark, the open source cluster;
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Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep;
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Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key Features Build;
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Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data;
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Einde inhoud
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