{"title":"Data Science \u0026 Databases","description":"\u003cp\u003eBooks on Data Science, Data Analytics, Data Warehousing, Data Mining, Big Data, and Database Management including SQL, Oracle, MySQL, PostgreSQL, and NoSQL. For data analysts, BI professionals, data engineers, and DBAs.\u003c\/p\u003e","products":[{"product_id":"hadoop-the-definitive-guide-4th-edition-9789352130672","title":"Hadoop: The Definitive Guide,4\/E (Paperback)","description":"\u003cp style=\"text-align: justify;\"\u003eGet ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.\u003c\/p\u003e\u003cp style=\"margin-top: -4px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; line-height: 22.4px; text-align: justify; background-color: rgb(255, 255, 255);\"\u003eUsing Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn fundamental components such as MapReduce, HDFS, and YARN\u003c\/li\u003e\n\u003cli\u003eExplore MapReduce in depth, including steps for developing applications with it\u003c\/li\u003e\n\u003cli\u003eSet up and maintain a Hadoop cluster running HDFS and MapReduce on YARN\u003c\/li\u003e\n\u003cli\u003eLearn two data formats: Avro for data serialization and Parquet for nested data\u003c\/li\u003e\n\u003cli\u003eUse data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer)\u003c\/li\u003e\n\u003cli\u003eUnderstand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop\u003c\/li\u003e\n\u003cli\u003eLearn the HBase distributed database and the ZooKeeper distributed configuration service\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eAbout the Author\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eTom White, has been an Apache Hadoop agent since February 2007 and is a participant of the Apache Software Foundation. He works for Cloudera, a corporation set up to offer Hadoop support and training. Formerly he was as an independent Hadoop adviser, employed with companies to set up, use and extend Hadoop. He has printed many articles for O'Reilly, java.net and IBM's developer Works and has spoken at many conferences, including at ApacheCon 2008 on Hadoop. 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This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.\u003c\/p\u003e\u003cp style=\"margin-top: -4px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; line-height: 22.4px; text-align: justify; background-color: rgb(255, 255, 255);\"\u003eIn many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.\u003c\/p\u003e\u003cp style=\"margin-top: -4px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; line-height: 22.4px; text-align: justify; background-color: rgb(255, 255, 255);\"\u003e\u003cstrong\u003eTopics include:\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eStatistical inference, exploratory data analysis, and the data science process\u003c\/li\u003e\n\u003cli\u003eAlgorithms\u003c\/li\u003e\n\u003cli\u003eSpam filters, Naive Bayes, and data wrangling\u003c\/li\u003e\n\u003cli\u003eLogistic regression\u003c\/li\u003e\n\u003cli\u003eFinancial modeling\u003c\/li\u003e\n\u003cli\u003eRecommendation engines and causality\u003c\/li\u003e\n\u003cli\u003eData visualization\u003c\/li\u003e\n\u003cli\u003eSocial networks and data journalism\u003c\/li\u003e\n\u003cli\u003eData engineering, MapReduce, Pregel, and Hadoop\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp style=\"text-align: justify;\"\u003e\u003ci\u003eDoing Data Science\u003c\/i\u003e is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.\u003c\/p\u003e\u003chr\u003e\u003cp\u003e \u003c\/p\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505602891846,"sku":"9789351103189","price":1417.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789351103189.jpg?v=1790312576"},{"product_id":"developing-with-couchbase-server-building-scalable-flexible-database-based-applications","title":"Developing with Couchbase Server: Building Scalable, Flexible Database-Based Applications","description":"\u003cp style=\"text-align: justify;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eToday’s highly interactive websites pose a challenge for traditional SQL databases—the ability to scale rapidly and serve loads of concurrent users. With this concise guide, you’ll learn how to build web applications on top of Couchbase Server 2.0, a NoSQL database that can handle websites and social media where hundreds of thousands of users read and write large volumes of information.\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"color: rgb(8, 113, 135); font-family: Verdana; font-size: 11px; line-height: 15px; text-align: justify;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eUsing food recipe information as examples, this book demonstrates how to take advantage of Couchbase’s document-oriented database design, and how to store and query data with various CRUD operations. Discover why Couchbase is better than SQL databases with memcached tiers for managing data from the most interactive portions of your application.\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eLearn about Couchbase Server’s cluster-based architecture and how it differs from SQL databases\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eChoose a client library for Java, .NET, Ruby, Python, PHP, or C, and connect to a cluster\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eStructure data in a variety of formats, from serialized objects, a stream of raw bytes, or as JSON documents\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eLearn core storage and retrieval methods, including document IDs, expiry times, and concurrent updates\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eCreate views with map\/reduce and learn Couchbase mechanisms for querying and selection\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003chr\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505615704134,"sku":"9789351100515","price":315.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789351100515.jpg?v=1790312619"},{"product_id":"data-analytics-with-hadoop-an-introduction-for-data-scientists","title":"Data Analytics with Hadoop: An Introduction for Data Scientists","description":"\u003cp style=\"text-align: justify;\"\u003eReady to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce.\u003c\/p\u003e\u003cp\u003e\u003cbr style=\"color: rgb(8, 113, 135); font-family: Verdana; font-size: 11px; line-height: 15px; text-align: justify;\"\u003eData scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. 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This guide also helps you understand the many data-mining techniques in use today.\u003c\/p\u003e\u003cp\u003eBased on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand how data science fits in your organization—and how you can use it for competitive advantage\u003c\/li\u003e\n\u003cli\u003eTreat data as a business asset that requires careful investment if you’re to gain real value\u003c\/li\u003e\n\u003cli\u003eApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way\u003c\/li\u003e\n\u003cli\u003eLearn general concepts for actually extracting knowledge from data\u003c\/li\u003e\n\u003cli\u003eApply data science principles when interviewing data science job candidates\u003c\/li\u003e\n\u003c\/ul\u003e\u003chr\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505617342534,"sku":"9789351102670","price":1417.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789351102670.jpg?v=1790312636"},{"product_id":"mining-the-social-web-2nd-edition","title":"Mining the Social Web, 2nd Edition","description":"\u003cp style=\"text-align: justify;\"\u003eHow can you tap into the wealth of social webdata to discover who’s making connections with whom, what they’re talkingabout, and where they’re located? With this expanded and thoroughly revisededition, you’ll learn how to acquire, analyze, and summarize data from allcorners of the social web, including Facebook, Twitter, LinkedIn, Google+,GitHub, email, websites, and blogs.\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; text-align: justify;\"\u003e\u003c!--[if !supportLineBreakNewLine]--\u003e\u003cbr\u003e\u003c!--[endif]--\u003e\u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cul type=\"disc\"\u003e \u003cli class=\"MsoNormal\"\u003eEmploy IPython Notebook, the     Natural Language Toolkit, NetworkX, and other scientific computing tools     to mine popular social web sites\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eApply advanced text-mining     techniques, such as clustering and TF-IDF, to extract meaning from human     language data\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eBootstrap interest graphs from     GitHub by discovering affinities among people, programming languages, and     coding projects\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eBuild interactive visualizations     with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eTake advantage of more than     two-dozen Twitter recipes, presented in O’Reilly’s popular     \"problem\/solution\/discussion\" cookbook format\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp style=\"text-align: justify;\"\u003eThe example code for thisunique data science book is maintained in a public GitHub repository. 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Eric Sammer, Principal Solution Architect at Cloudera, shows youthe particulars of running Hadoop in production, from planning, installing, andconfiguring the system to providing ongoing maintenance.\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;line-height:11.25pt\"\u003eRatherthan run through all possible scenarios, this pragmatic operations guide callsout what works, as demonstrated in critical deployments.\u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cul type=\"disc\"\u003e \u003cli class=\"MsoNormal\"\u003eGet a high-level overview of HDFS     and MapReduce: why they exist and how they work\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003ePlan a Hadoop deployment, from     hardware and OS selection to network requirements\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eLearn setup and configuration     details with a list of critical properties\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eManage resources by sharing a     cluster across multiple groups\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eGet a runbook of the most common     cluster maintenance tasks\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eMonitor Hadoop clusters—and learn     troubleshooting with the help of real-world war stories\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eUse basic tools and techniques to     handle backup and catastrophic failure\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003chr\u003e\u003cp style=\"text-align: justify;\"\u003e \u003c\/p\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505624813638,"sku":"9789350239261","price":900.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789350239261.jpg?v=1790312651"},{"product_id":"978-9351103172-9789351103172-agile-data-science-building-data-analytics-applications-with-hadoop-935110317x","title":"Agile Data Science: Building Data Analytics Applications with Hadoop","description":"\u003cp\u003eMining big data requires a deep investment in people and time. 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Database is one of the importantparts for the computer science and IT students. This book helps to run thequeries in any of the RDBMS. This book will teach you about every aspect of theRDBMS. You will get understand about the Application programming using PL. Forthe examination point of view there are important questions at the last of eachchapter. We used the\u003cspan class=\"apple-converted-space\"\u003e \u003c\/span\u003e\u003cstrong\u003e*\u003c\/strong\u003e,\u003cspan class=\"apple-converted-space\"\u003e \u003c\/span\u003e\u003cstrong\u003e**\u003c\/strong\u003e,\u003cspan class=\"apple-converted-space\"\u003e \u003c\/span\u003e\u003cstrong\u003e***\u003c\/strong\u003e\u003cspan class=\"apple-converted-space\"\u003e for the Important, very important and most importantquestions respectively. At the last of book there are model question paper andimportant commands at a glance by which user can use this book without facingany problem. 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Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"color: rgb(8, 113, 135); font-family: Verdana; font-size: 11px; line-height: 15px; text-align: justify;\"\u003e\u003cspan style=\"color: rgb(38, 38, 38);\"\u003eEach chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. 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Chapter 1 Introduction\u003cstrong\u003e\u003co:p\u003e\u003c\/o:p\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin: 0in 0in 0.0001pt 0.25in; text-align: justify; text-indent: -0.25in; line-height: 11.25pt; background-image: initial; background-color: white;\"\u003e2.    Chapter 2 Adapt or Die\u003cstrong\u003e\u003co:p\u003e\u003c\/o:p\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin: 0in 0in 0.0001pt 0.25in; text-align: justify; text-indent: -0.25in; line-height: 11.25pt; background-image: initial; background-color: white;\"\u003e3.    Chapter 3 Cloud-Native Platforms\u003cstrong\u003e\u003co:p\u003e\u003c\/o:p\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin: 0in 0in 0.0001pt 0.25in; text-align: justify; text-indent: -0.25in; line-height: 11.25pt; background-image: initial; background-color: white;\"\u003e4.    Chapter 4 Do More\u003cstrong\u003e\u003co:p\u003e\u003c\/o:p\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin: 0in 0in 0.0001pt 0.25in; text-align: justify; text-indent: -0.25in; line-height: 11.25pt; background-image: initial; background-color: white;\"\u003e5.    Chapter 5 Breaking Down Silos\u003cstrong\u003e\u003co:p\u003e\u003c\/o:p\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin: 0in 0in 0.0001pt 0.25in; text-align: justify; text-indent: -0.25in; line-height: 11.25pt; background-image: initial; background-color: white;\"\u003e6.    Chapter 6 Summary \u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"color: rgb(8, 113, 135); font-family: Verdana; font-size: 11px; line-height: 15px; text-align: justify;\"\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505644736582,"sku":"9789352134472","price":225.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789352134472.jpg?v=1790313020"},{"product_id":"learning-to-love-data-science","title":"Learning to Love Data Science","description":"\u003cp\u003eUntil recently, many people thought big data was a passing fad. \"Data science\" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. 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