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Master the MongoDB Aggregation Pipeline

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Ado Kukic

53:02

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  • 01 - Unlock your data with MongoDB aggregations.mp4
    00:44
  • 02 - Application and data model.mp4
    06:40
  • 01 - Overview of the MongoDB aggregation framework.mp4
    02:40
  • 02 - Aggregation pipeline stages.mp4
    02:48
  • 03 - Aggregation vs. standard queries.mp4
    02:11
  • 04 - Aggregation pipeline vs. map-reduce.mp4
    02:19
  • 01 - $match, $sort, $limit.mp4
    :
  • 02 - Transforming data with aggregations.mp4
    06:29
  • 03 - Adding and removing data with aggregations.mp4
    07:17
  • 01 - Persisting aggregation results with $out.mp4
    :
  • 02 - Joins in MongoDB with $lookup.mp4
    :
  • 03 - Working with arrays and $unwind.mp4
    :
  • 01 - Custom aggregation functions.mp4
    07:21
  • 02 - Custom aggregation accumulator.mp4
    10:17
  • 03 - Performance and optimization of the aggregation pipeline.mp4
    02:50
  • 01 - Next steps.mp4
    01:26
  • Description


    The MongoDB Aggregation Framework allows developers to manipulate and transform data stored in a MongoDB database to fit almost any use case. The aggregation pipeline consists of a series of user-defined stages that manipulate data to produce a final result. The aggregation framework is a very powerful, but also complex tool. In this course, instructor and full-stack developer Ado Kukic explores advanced data analysis and manipulation topics in MongoDB. Ado shows you how to properly use the aggregation framework, highlighting potential use cases and best practices, and shares tips and tricks to help you get even more value from your MongoDB databases.

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    With over a decade of programming, development, and design experience in my corner I am a seasoned software engineer that enjoys learning new technologies, best practices, and most importantly deliver results. In addition to my technical background, I have many valuable soft skills spanning design, leadership, management and marketing. I have played many roles ranging from software engineer to co-founder, and most recently technology evangelism. I have been lucky enough to work with both small startups and large Fortune 500 companies. Today, I am a developer evangelist for Auth0, where I primary speak at conferences, meetups, and other events about identity, security, authorization, and authentication but also spend plenty of time doing R&D on new languages, frameworks, and best practices and writing about them on the Auth0 and partner blogs. I see myself as a fullstack developer and below are some of the technologies I have worked with: - Front-end: HTML, SCSS, JavaScript, jQuery, TypeScript, Angular 1 and 2+, React, Ember - Back-end: Go, Node, ASP.NET, Python, Ruby - Database: PostgreSQL, MySQL, SQL Server, MongoDB, Redis, RethinkDB, Firebase - Server and Hosting: NGINX, Apache, IIS, Google Cloud Platform, Amazon Web Services, Azure My preferred tech stack is Angular 2+ on the front-end, Golang on the backend, and Postgres for the datastore.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 16
    • duration 53:02
    • Release Date 2023/03/02

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