September 2022
Beginner to intermediate
382 pages
9h 35m
English
Content preview from Scalable Data Architecture with Java
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5
Architecting a Batch Processing Pipeline
In the previous chapter, we learned how to architect medium- to low-volume batch-based solutions using Spring Batch. We also learned how to profile such data using DataCleaner. However, with data growth becoming exponential, most companies have to deal with huge volumes of data and analyze it to their advantage.
In this chapter, we will discuss how to analyze, profile, and architect a big data solution for a batch-based pipeline. Here, we will learn how to choose the technology stack and design a data pipeline to create an optimized and cost-efficient big data solution. We will also learn how to implement this solution using Java, Spark, and various AWS components and test our solution. After that, ...
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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.
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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.