Practical MongoDB Aggregations
The official guide to developing optimal aggregation pipelines with MongoDB 7.0
Published on 23. September 2024
312 pages
978-1-83508-684-1 (ISBN)
Description
No detailed description available for "Practical MongoDB Aggregations".
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Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
Product notice
Reflowable
File size
3,25 MB
ISBN-13
978-1-83508-684-1 (9781835086841)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Additional editions
Paul Done
Practical MongoDB Aggregations
The official guide to developing optimal aggregation pipelines with MongoDB 7.0
Book
09/2023
Packt Publishing
€104.00
Shipment within 3-4 weeks
Person
Done Paul :
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.
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.
Content
Table of Contents
MongoDB Aggregations Explained
Optimizing Pipelines for Productivity
Optimizing Pipelines for Performance
Harnessing the Power of Expressions
Optimizing Pipelines for Sharded Clusters
Foundational Examples: Filtering, Grouping, and Unwinding
Joining Data Examples
Fixing and Generating Data Examples
Trend Analysis Examples
Securing Data Examples
Time-Series Examples
Array Manipulation Examples
Full-Text Search Examples
MongoDB Aggregations Explained
Optimizing Pipelines for Productivity
Optimizing Pipelines for Performance
Harnessing the Power of Expressions
Optimizing Pipelines for Sharded Clusters
Foundational Examples: Filtering, Grouping, and Unwinding
Joining Data Examples
Fixing and Generating Data Examples
Trend Analysis Examples
Securing Data Examples
Time-Series Examples
Array Manipulation Examples
Full-Text Search Examples
