December 2018
Intermediate to advanced
318 pages
8h 28m
English
Content preview from Hands-On Machine Learning for Cybersecurity
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Data ingestion
Data is ingested from different sources from real-time systems like IOTS (CCTV cameras), streaming media data, and transaction logs. Data that is ingested can also be data from batch processes or non-interactive processes like Linux cron jobs, Windows scheduler jobs, and so on. Single feed data like raw text data, log files, and process data dumps are also taken in by data stores. Data from enterprise resource planning (ERP), customer relationship management (CRM), and operational systems (OS) is also ingested. Here we analyze some data ingestors that are used in continuous, real-time, or batched data ingestion:
- Amazon Kinesis: This is a cost-effective data ingestor from Amazon. Kinesis enables terabytes of real-time data ...
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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.