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Practical MongoDB Aggregations. The official guide to developing optimal aggregation pipelines with MongoDB 7.0

Język publikacji: angielskim
Practical MongoDB Aggregations. The official guide to developing optimal aggregation pipelines with MongoDB 7.0 Paul Done, Asya Kamsky - okladka książki

Practical MongoDB Aggregations. The official guide to developing optimal aggregation pipelines with MongoDB 7.0 Paul Done, Asya Kamsky - okladka książki

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312
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Officially endorsed by MongoDB, Inc., Practical MongoDB Aggregations helps you unlock the full potential of the MongoDB aggregation framework, including the latest features of MongoDB 7.0. This book provides practical, easy-to-digest principles and approaches for increasing your effectiveness in developing aggregation pipelines, supported by examples for building pipelines to solve complex data manipulation and analytical tasks.
This book is customized for developers, architects, data analysts, data engineers, and data scientists with some familiarity with the aggregation framework. It begins by explaining the framework's architecture and then shows you how to build pipelines optimized for productivity and scale.
Given the critical role arrays play in MongoDB's document model, the book delves into best practices for optimally manipulating arrays. The latter part of the book equips you with examples to solve common data processing challenges so you can apply the lessons you've learned to practical situations. By the end of this MongoDB book, you’ll have learned how to utilize the MongoDB aggregation framework to streamline your data analysis and manipulation processes effectively.

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O autorze książki

Paul Done is one of two Distinguished Solutions Architects at MongoDB Inc., having been at MongoDB for 10 years. He has previously held roles in various software disciplines, including engineering, consulting, and pre-sales, at companies like Oracle, Novell, and BEA Systems. Paul specializes in databases and middleware, focusing on resiliency, scalability, transactions, event processing, and applying evolvable data model approaches. He spent most of the early 2000s building Java EE (J2EE) transactional systems on WebLogic, integrated with relational databases like Oracle RAC and messaging systems like MQ Series.

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