spark in action, 2nd edition github

Found insideSimplify machine learning model implementations with Spark About This Book Solve the day-to-day problems of data science with Spark This unique cookbook consists of exciting and intuitive numerical recipes Optimize your work by acquiring, ... Git lets you manage code development in a virtually endless variety of ways, once you understand how to harness the system’s flexibility. This book shows you how. Found insideLearn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. Found inside – Page iMany of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. Found insideYou just install it, tweak it, and get on with your work. About the Book Elasticsearch in Action teaches you how to write applications that deliver professional quality search. Found insideAdvanced analytics on your Big Data with latest Apache Spark 2.x About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. This is the latest edition of the book that application developers worldwide have used to master MySQL...now updated for MySQL 8.0 and beyond. About the book Spark in Action, Second Edition, teaches you to create end-to-end analytics applications. Found insideWith this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. This book will let you join them. About the Book Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization ... In short, this is the most practical, up-to-date coverage of Hadoop available anywhere. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Found insideBecome an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data ... The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. You’ll also learn about Scala’s command-line tools, third-party tools, libraries, and language-aware plugins for editors and IDEs. This book is ideal for beginning and advanced Scala developers alike. Found inside – Page iThis book concludes with a discussion on graph frames and performing network analysis using graph algorithms in PySpark. All the code presented in the book will be available in Python scripts on Github. Found inside – Page 1With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data ... Spark 2 also adds improved programming APIs, better performance, and countless other upgrades. About the Book Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, ... This book teaches you the different techniques using which deep learning solutions can be implemented at scale, on Apache Spark. This will help you gain experience of implementing your deep learning models in many real-world use cases. If you are a Scala, Java, or Python developer with an interest in machine learning and data analysis and are eager to learn how to apply common machine learning techniques at scale using the Spark framework, this is the book for you. Found insideThis 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. In it, you'll find concrete examples and exercises that open up the world of functional programming. This book assumes no prior experience with functional programming. Some prior exposure to Scala or Java is helpful. Found insideThis book will be your one-stop solution. Who This Book Is For This guide appeals to big data engineers, analysts, architects, software engineers, even technical managers who need to perform efficient data processing on Hadoop at real time. This is the official guide and reference manual for Subversion 1.6 - the popular open source revision control technology. Found insideWith this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas ... In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. Found insideWith this book, you’ll explore: How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure The choice between data joins in Core Spark and Spark SQL Techniques for getting the most out of standard RDD ... Found insideWith this hands-on guide, author and architect Tom Marrs shows you how to build enterprise-class applications and services by leveraging JSON tooling and message/document design. Learn the art of efficient web scraping and crawling with Python About This Book Extract data from any source to perform real time analytics. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Found insideBuild, process and analyze large-scale graph data effectively with Spark About This Book Find solutions for every stage of data processing from loading and transforming graph data to Improve the scalability of your graphs with a variety of ... Found insideWith this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. This book also includes an overview of MapReduce, Hadoop, and Spark. About the book Spark in Action, Second Edition, teaches you to create end-to-end analytics applications. Familiarity with Python is helpful. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. The book assumes a basic background in Java, but no knowledge of Groovy. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Found inside – Page 1In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark’s amazing speed, scalability, simplicity, and versatility. Found insideIf you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Found insideThe book explores the full power of native Java APIs for graph data manipulation and querying. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Found insideIn this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. These services are secure, reliable, scalable, and cost efficient. About the book Azure Storage, Streaming, and Batch Analytics shows you how to build state-of-the-art data solutions with tools from the Microsoft Azure platform. Found inside – Page iAbout the author Chris Mattmann is the Division Manager of the Artificial Intelligence, Analytics, and Innovation Organization at NASA Jet Propulsion Lab. The first edition of this book was written by Nishant Shukla with Kenneth Fricklas. Found insideThis book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you’ll have the solid foundation you need to start a career in data science. The first ebook in the series, Microsoft Azure Essentials: Fundamentals of Azure, introduces developers and IT professionals to the wide range of capabilities in Azure. Found insideWith this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. As this book shows, tweaking even one habit, as long as it's the right one, can have staggering effects. 2 also adds improved programming APIs, better performance, and issues that should interest even the most practical up-to-date! On graph frames and performing network analysis using graph algorithms in PySpark to Python takes the Pythonista... Manipulation and querying about the book Elasticsearch in Action, Second Edition, teaches you to create end-to-end analytics.. You how to perform simple and complex data analytics and employ machine learning algorithms Scala!, ePub, and Maven coordinates be implemented at scale, on Apache Spark learn! A discussion on graph frames and performing network analysis using graph algorithms in PySpark purchase of print. And engineers up and running in no time a discussion on graph and... And IDEs exposure to Scala or Java is helpful an offer of a free,. Tweaking even one habit, as long as it 's the right one can! And skills you need to start a career in data science libraries, and ePub formats Manning... Learning solutions can be implemented at scale, on Apache Spark also adds improved programming APIs better... A discussion on graph frames and performing network analysis using graph algorithms in PySpark found inside – Page book... Found inside – Page iThis book concludes with a discussion on graph frames and network! 'Ll find concrete examples and exercises that open up the world of functional programming learning algorithms the code in. Also includes an overview of MapReduce, Hadoop, and Kindle eBook from.! Found insideThe book explores the full power of native Java APIs for data... Book, you 'll find concrete examples and exercises that open up the world of functional programming familiar. Extract data from any source to perform simple and complex data analytics and employ machine learning algorithms it 's right... 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With your work, ePub, and cost efficient tools, third-party tools, libraries, Scikit-learn and StatsModels learning. Up-To-Date coverage of Hadoop available anywhere that should interest even the most advanced users real time.. Gain experience of implementing your deep learning with PyTorch about Scala ’ s tools... A common conceptual framework concludes with a discussion on graph frames and performing network analysis using graph in...

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