September 2024
Intermediate to advanced
240 pages
6h 24m
English
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5 Managing data with GitHub Copilot and Copilot Chat
This chapter covers
- Persisting data into a relational database
- Streaming data using Apache Kafka
- Incorporating event-driven principles
- Analyzing data to monitor the location using Spark
The last chapter laid the foundation for our information technology asset management (ITAM) system. However, this application will not fulfill our requirements without data. Data is the lifeblood of every application. That is what this chapter is all about: the various ways we can use generative AI to create data, stream data, transform data, react to data, and learn from data.
Perceptive individuals may have noticed in the last chapter that our data access pattern would not have worked as it was incomplete. ...
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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.