Querying Data Using Map-reduce in MongoDB

[mitsumi]

Querying Data Using Map-reduce in MongoDB
Duration: 1h 40m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 186 MB
Level: Intermediate | Genre: eLearning | Language: English

MongoDB's Map-reduce stands strong as the number one choice for big data analytics. Learn about condensing a large volume of document data into a small set of aggregated results by creating versatile map and reduce functions in JavaScript.

Working with large volumes of document data for analytics requires the power and flexibility of MongoDB's Map-reduce feature. In this course, Querying Data Using Map-reduce in MongoDB, you'll gain the ability to get yourself fully equipped to confidently apply the Map-reduce pattern to any data set no matter how large it could be. First, you'll discover the requirement for Map-reduce among other aggregation capabilities of MongoDB. Next, you'll explore how to create a custom JavaScript map function and a reduce function that are needed to perform map and reduce operations. Finally, you'll learn how to use these custom functions to perform a Map-reduce operation on a MongoDB data set to aggregate results across documents. When you're finished with this course, you'll have the skills and knowledge of working with the Map-reduce function in MongoDB that will help you leverage the power of MongoDB's aggregation feature for data crunching requirements in your next project.

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