{"product_id":"9781784397371","title":"Spark for Python Developers","description":"\u003cp\u003e\u003cb\u003eA concise guide to implementing Spark Big Data analytics for Python developers, and building a real-time and insightful trend tracker data intensive app\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSet up real-time streaming and batch data intensive infrastructure using Spark and Python\u003c\/li\u003e\n\u003cli\u003eDeliver insightful visualizations in a web app using Spark (PySpark)\u003c\/li\u003e\n\u003cli\u003eInject live data using Spark Streaming with real-time events\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eThis book is for data scientists and software developers with a focus on Python who want to work with the Spark engine, and it will also benefit Enterprise Architects. All you need to have is a good background of Python and an inclination to work with Spark.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCreate a Python development environment powered by Spark (PySpark), Blaze, and Bookeh\u003c\/li\u003e\n\u003cli\u003eBuild a real-time trend tracker data intensive app\u003c\/li\u003e\n\u003cli\u003eVisualize the trends and insights gained from data using Bookeh\u003c\/li\u003e\n\u003cli\u003eGenerate insights from data using machine learning through Spark MLLIB\u003c\/li\u003e\n\u003cli\u003eJuggle with data using Blaze\u003c\/li\u003e\n\u003cli\u003eCreate training data sets and train the Machine Learning models\u003c\/li\u003e\n\u003cli\u003eTest the machine learning models on test datasets\u003c\/li\u003e\n\u003cli\u003eDeploy the machine learning algorithms and models and scale it for real-time events\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eLooking for a cluster computing system that provides high-level APIs? Apache Spark is your answer—an open source, fast, and general purpose cluster computing system. Spark's multi-stage memory primitives provide performance up to 100 times faster than Hadoop, and it is also well-suited for machine learning algorithms.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAre you a Python developer inclined to work with Spark engine? If so, this book will be your companion as you create data-intensive app using Spark as a processing engine, Python visualization libraries, and web frameworks such as Flask.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTo begin with, you will learn the most effective way to install the Python development environment powered by Spark, Blaze, and Bookeh. You will then find out how to connect with data stores such as MySQL, MongoDB, Cassandra, and Hadoop.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou'll expand your skills throughout, getting familiarized with the various data sources (Github, Twitter, Meetup, and Blogs), their data structures, and solutions to effectively tackle complexities. You'll explore datasets using iPython Notebook and will discover how to optimize the data models and pipeline. Finally, you'll get to know how to create training datasets and train the machine learning models.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBy the end of the book, you will have created a real-time and insightful trend tracker data-intensive app with Spark.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStyle and approach \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis is a comprehensive guide packed with easy-to-follow examples that will take your skills to the next level and will get you up and running with Spark.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47136970080496,"sku":"9781784397371","price":31.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781784397371_p0.jpg?v=1763725742","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781784397371","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}