{"product_id":"b097835w6t","title":"Big Data: Principles and best practices of scalable realtime data systems","description":"\u003cp\u003eSummary\u003c\/p\u003e\n\n\u003cp\u003eBig Data  teaches you to build  big data  systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to  big data  systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of  big data  systems, how to implement them in practice, and how to deploy and operate them once they're built.\u003c\/p\u003e\n\n\u003cp\u003eAbout the Book\u003c\/p\u003e\n\n\u003cp\u003eWeb-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive.\u003c\/p\u003e\n\n\u003cp\u003eBig Data  teaches you to build  big data  systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of  big data  systems and how to implement them in practice. In addition to discovering a general framework for processing  big data , you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.\u003c\/p\u003e\n\n\u003cp\u003eThis book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful.\u003c\/p\u003e\n\n\u003cp\u003eWhat's Inside\u003cbr\u003e\nIntroduction to  big data  systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills\u003cbr\u003e\nAbout the Authors\u003c\/p\u003e\n\n\u003cp\u003eNathan Marz  is the creator of Apache Storm and the originator of the Lambda Architecture for  big data  systems.  James Warren  is an analytics architect with a background in machine learning and scientific computing.\u003c\/p\u003e\n\n\u003cp\u003eTable of Contents\u003cbr\u003e\nA new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for  Big Data : Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":54231574905195,"sku":"YSL26800","price":35.39,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0978\/1674\/0203\/files\/71nAYOPW16L._SY1500.jpg?v=1792834715","url":"https:\/\/www.booktavero.com\/products\/b097835w6t","provider":"BookTavero","version":"1.0","type":"link"}