MongoDB Recipes: With Data Modeling and Query Building Strategies by Subhashini

Description: MongoDB Recipes by Subhashini Chellappan, Dharanitharan Ganesan Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss.MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. Youll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB.What You Will Learn Work with the MongoDB document model Design MongoDB schemas Use the MongoDB query languageHarness the aggregation frameworkCreate replica sets and sharding in MongoDBWho This Book Is ForDevelopers and professionals who work with MongoDB. FORMAT Paperback LANGUAGE English CONDITION Brand New Back Cover Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss. MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. Youll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB. You will: Work with the MongoDB document model Design MongoDB schemas Use the MongoDB query language Harness the aggregation framework Create replica sets and sharding in MongoDB Author Biography Subhashini Chellappan is a technology enthusiast with expertise in the big data and cloud space. She has rich experience in both academia and the software industry. Her areas of interest and expertise are centered on business intelligence, big data analytics and cloud computing.Dharanitharan Ganesan is an MBA in Technology management with high level of exposure and experience in big data – Apache Hadoop, Apache Spark and various Hadoop ecosystem components. He has a proven track record of improving efficiency and productivity through the automation of various routine and administrative functions in business intelligence and big data technologies. His areas of interest and expertise are centered on machine learning algorithms, Blockchain in Bigdata, statistical modelling and predictive analytics. Table of Contents Chapter 1: MongoDB Features and Installation.- Chapter 2: CRUD Operations.- Chapter 3: Data Modelling.- Chapter 4: Indexing and Aggregation Framework.- Chapter 5: MongoDB Replication and Sharding.- Chapter 6: MongoDB Transaction.- Chapter 7: MongoDB Administration.- Chapter 8: MongoDB Security. Feature Extensive coverage of MongoDBs query language including how to query various data structures stored within documents Covers data modeling and query building strategies Covers the latest features of MongDB 4 Details ISBN1484248902 Author Dharanitharan Ganesan Publisher APress Edition 1st ISBN-10 1484248902 ISBN-13 9781484248904 Format Paperback Imprint APress Subtitle With Data Modeling and Query Building Strategies Place of Publication Berkley Country of Publication United States Pages 247 Year 2019 Publication Date 2019-12-16 Short Title MongoDB Recipes Language English DOI 10.1007/978-1-4842-4891-1 AU Release Date 2019-12-16 NZ Release Date 2019-12-16 US Release Date 2019-12-16 UK Release Date 2019-12-16 Illustrations 45 Illustrations, black and white; XVII, 247 p. 45 illus. Edition Description 1st ed. Alternative 9781484276303 DEWEY 005.74 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:137967832;

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