{"product_id":"9781789950731","title":"Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning","description":"\u003cp\u003e\u003cb\u003eGet to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.\u003c\/b\u003e\u003c\/p\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eGet a hands-on, fast-paced introduction to the Python data science stack\u003c\/li\u003e\n\u003cli\u003eExplore ways to create useful metrics and statistics from large datasets\u003c\/li\u003e\n\u003cli\u003eCreate detailed analysis reports with real-world data\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003cp\u003eProcessing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this book, you'll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.\u003c\/p\u003e\u003cp\u003eThe book begins with an introduction to data manipulation in Python using pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated in memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The book also covers Spark and explains how it interacts with other tools.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be able to bootstrap your own Python environment, process large files, and manipulate data to generate statistics, metrics, and graphs.\u003c\/p\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eUse Python to read and transform data into different formats\u003c\/li\u003e\n\u003cli\u003eGenerate basic statistics and metrics using data on disk\u003c\/li\u003e\n\u003cli\u003eWork with computing tasks distributed over a cluster\u003c\/li\u003e\n\u003cli\u003eConvert data from various sources into storage or querying formats\u003c\/li\u003e\n\u003cli\u003ePrepare data for statistical analysis, visualization, and machine learning\u003c\/li\u003e\n\u003cli\u003ePresent data in the form of effective visuals\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003cp\u003eBig Data Analysis with Python is designed for Python developers, data analysts, and data scientists who want to get hands-on with methods to control data and transform it into impactful insights. Basic knowledge of statistical measurements and relational databases will help you to understand various concepts explained in this book.\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":46462034772209,"sku":"9781789950731","price":23.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781789950731_p0.jpg?v=1766068656","url":"https:\/\/shop.barnesandnoble.com\/products\/9781789950731","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}