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[null,null,"Autore",null,"Chellappan Subhashini"]
[null,null,"Titolo",null,"MongoDB Recipes : With Data Modeling and Query Building Strategies / / by Subhashini Chellappan, Dharanitharan Ganesan"]
[null,null,"Pubbl/distr/stampa",null,"Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020"]
[null,null,"ISBN",null,"9781484248911"]
[{"$nulls":4},"1484248910"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (257 pages)"]
[null,null,"Disciplina",null,"005.757"]
[null,null,"Soggetti",null,"Big data"]
[{"$nulls":4},"Open source software"]
[{"$nulls":4},"Computer programming"]
[{"$nulls":4},"Big Data"]
[{"$nulls":4},"Open Source"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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. ."]
[null,null,null,"Sommario/riassunto","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. You’ll 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."]