
Practical MongoDB Aggregations
Description
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Person
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
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
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The file format ePUB works well for novels and non-fiction books – i.e., 'flowing' text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
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