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Intermediate-Advanced user level;...
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Leverage Apache Spark within a modern data engineering ecosystem. This hands-on guide will teach you how to write fully functional;
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Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available;
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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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data flow and machine learning programs on this platform. You will work with the different modules in Apache Spark, such as interactive;
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Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case;
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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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Spark including Databricks Cloud notebook * Find out how to operate on data in Spark with schemas * Get to grips with real-time streaming;
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Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts;
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efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing;
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batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming * Get to grips with data science and;
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Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book * An advanced guide with a combination;
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Features Learn about the core concepts and the latest developments in Apache Spark Master writing efficient big data applications with Spark's;
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to setting up Apache Spark, and use other analytical tools with it to process Big Data and build machine learning projects.The initial;
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Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running;
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* Exclusive guide that covers how to get up and running with fast data processing using Apache Spark * Explore and exploit various possibilities with;
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Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models;
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Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable;
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end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive;
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learning with Apache Spark Train neural networks with deep learning libraries such as BigDL and TensorFlow Develop Spark deep learning applications;
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jobs and process your data more efficiently. What you will learn Get to grips with Spark fundamentals and the Databricks platform;
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Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark. The book begins;
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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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with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern;
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of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large;
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Over insightful 90 recipes to get lightning-fast analytics with Apache Spark About This Book * Use Apache Spark for data processing;
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Build, process and analyze large-scale graph data effectively with Spark About This Book * Find solutions for every stage of data;
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