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You're reading from  Practical MongoDB Aggregations

Product typeBook
Published inMar 2024
PublisherPackt
ISBN-139781835884362
Edition1st Edition
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Paul Done
Paul Done
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Paul Done

Paul Done is a Field CTO at MongoDB Inc., having been a Solutions Architect for the past decade at MongoDB. 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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Summary

In this chapter, you learned about the concept of composability, equipping you with the knowledge to create efficient and flexible aggregation pipelines. Throughout the chapter, you discovered practical approaches to optimize the pipelines you build for simplicity, reusability, and maintainability.

In the next chapter, you will learn about considerations for optimizing pipeline performance, understanding explain plans, and applying various recommendations that will enable your aggregation pipelines to execute and complete in the minimum amount of time possible.

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Practical MongoDB Aggregations
Published in: Mar 2024Publisher: PacktISBN-13: 9781835884362

Author (1)

author image
Paul Done

Paul Done is a Field CTO at MongoDB Inc., having been a Solutions Architect for the past decade at MongoDB. 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.
Read more about Paul Done