Querying Data Using Map-reduce in MongoDB from Pluralsight

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.

What's inside

Syllabus

Course Overview

Discovering the Need for Map-reduce in MongoDB

Creating Custom JavaScript Functions for Map and Reduce

Applying Custom JavaScript Functions to MongoDB Map-reduce

Putting the Pieces Together: Build a Complete Map-reduce Solution in MongoDB

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches a core technique for big data analytics in the industry

Employs JavaScript for practical implementation of map and reduce

Facilitates customized aggregation of document data

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Querying Data Using Map-reduce in MongoDB with these activities:

JavaScript Refresher

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Strengthen your JavaScript skills prior to the course by reviewing fundamentals and practicing basic concepts to ensure proficiency in writing MapReduce functions.

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Review variables, data types, and operators
Practice writing simple functions

MongoDB: The Definitive Guide

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Expand your knowledge of MongoDB and MapReduce by reviewing the authoritative book "MongoDB: The Definitive Guide", providing a comprehensive understanding of the technology and its advanced features.

View MongoDB: The Definitive Guide on Amazon

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Read Chapters 5-7
Complete exercises and examples

MongoDB MapReduce Notes Compilation

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Organize and expand your course materials by creating a comprehensive compilation of notes, assignments, and resources related to MapReduce in MongoDB.

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Gather materials
Organize and categorize
Add summaries and insights

Four other activities

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JavaScript MapReduce Guide

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Enhance your understanding of MapReduce techniques by following comprehensive tutorials designed specifically for JavaScript.

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Review JavaScript basics
Explore MapReduce concepts
Build simple MapReduce functions

MapReduce Discussion Group

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Engage in discussions with peers to exchange ideas, clarify concepts, and deepen your comprehension of MapReduce techniques.

Browse courses on MapReduce

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Join a discussion group
Participate in online forums
Host a study session

MapReduce Practice Problems

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Reinforce your understanding of MapReduce by solving a series of practice problems designed to test your skills.

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Solve problems involving data aggregation
Optimize MapReduce functions for efficiency

MongoDB MapReduce Data Analysis Project

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Apply your MapReduce skills to a real-world data analysis project using MongoDB, solidifying your understanding and enhancing your portfolio.

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Define project objectives
Gather and prepare data
Implement MapReduce functions
Analyze and interpret results

Career center

Learners who complete Querying Data Using Map-reduce in MongoDB will develop knowledge and skills that may be useful to these careers:

Big Data Architect

Big Data Architects design, develop, and manage big data systems. This course provides the opportunity to gain experience working with big data and using mapreduce functions to analyze data. This may be a useful course to consider to help build a foundation in designing, developing, and managing big data systems.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and systems. This course provides the opportunity to gain experience working with big data and using mapreduce functions to analyze data. This may be a useful course to consider to help build a foundation in retrieving and analyzing data for use in developing and maintaining data pipelines and systems.

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Data Scientist

Data Scientists use data to solve complex business problems. This course provides the opportunity to gain experience working with big data and using mapreduce functions to aggregate data. This may be a useful course to consider to help build a foundation in retrieving and analyzing data for use in solving business problems.

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Market Research Analyst

Marketing Research Analysts conduct surveys, collect data, and analyze data to determine the effectiveness of marketing and advertising campaigns or to identify new markets and opportunities for products and services. This course can help students build a foundation in collecting and analyzing data, including leveraging mapreduce functions to condense large volumes of data into summarized results.

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Statistician

Statisticians collect, analyze, and interpret data to draw conclusions. This course can help Statisticians build a foundation in collecting and analyzing data, including leveraging mapreduce functions to condense large volumes of data into summarized results.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. This course may be useful for Quantitative Analysts who wish to enhance their data science skills, particularly in working with big data and mapreduce functions to analyze data.

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Data Analyst

Data Analysts collect data from internal databases and/or external sources and analyze it for use in marketing and advertising campaigns, product development, or financial forecasting. This course provides the opportunity to gain experience working with big data and using mapreduce functions to aggregate data. This may be a useful course to consider to help build a foundation in retrieving and analyzing data for use in marketing, advertising, and product development.

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Database Administrator

Database Administrators maintain and manage databases. This course can help Database Administrators build a foundation in managing and maintaining databases, including how to analyze data using mapreduce functions.

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Financial Analyst

Financial Analysts provide financial advice and guidance to individuals and businesses. This course may be useful for Financial Analysts who wish to enhance their data science skills, particularly in working with big data and mapreduce functions to analyze data.

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Risk Analyst

Risk Analysts identify, assess, and manage risks. This course may be useful for Risk Analysts who wish to enhance their data science skills, particularly in working with big data and mapreduce functions to analyze data.

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Business Analyst

Business Analysts use data to identify opportunities, solve problems, and provide recommendations to improve business processes. This course may be useful for Business Analysts who wish to enhance their data science skills, particularly in working with big data and mapreduce functions to analyze data.

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Data Architect

Data Architects design and oversee the implementation of data systems. This course can help Data Architects build a foundation in designing and implementing data systems, including how to analyze data using mapreduce functions.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course may be useful for Machine Learning Engineers who wish to learn more about using mapreduce functions to analyze data. Mapreduce functions are commonly used in big data processing, so this course can help Machine Learning Engineers who work with big data to become more efficient.

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Software Engineer

Software Engineers develop, maintain, and improve software applications. This course may be useful for Software Engineers who wish to learn more about using mapreduce functions to analyze data. Mapreduce functions are commonly used in big data processing, so this course can help Software Engineers who work with big data to become more efficient.

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