August 2022
Beginner to intermediate
460 pages
10h 39m
English
Content preview from Mastering MongoDB 6.x - Third Edition
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Harnessing Big Data with MongoDB
MongoDB is often used in conjunction with big data pipelines because of its performance, flexibility, and lack of rigorous data schemas. This chapter will explore the big data landscape, and how MongoDB fits alongside message queuing, data warehousing, and extract, transform, and load (ETL) pipelines.
We will also learn what the MongoDB Atlas Data Lake platform is and how to use this cloud data warehousing offering from MongoDB.
These are the topics that we will discuss in this chapter:
- What is big data?
- Big data use case with servers on-premises
- MongoDB Atlas Data Lake
Technical requirements
To follow along with the examples in this chapter, we need to install Apache Hadoop and Apache Kafka and connect ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.