December 2018
Beginner to intermediate
490 pages
10h 38m
English
Content preview from Data Analysis with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Lessons learned from building our first enterprise-ready data pipeline
Leveraging open source frameworks, libraries, and tools definitely helped us be more efficient in implementing our data pipeline. For example, Kafka and Spark were pretty straightforward to deploy and easy to use, and when we were stuck, we could always rely on the developer community for help by using, for example, question and answer sites, such as https://stackoverflow.com.
Using a cloud-based managed service for the sentiment analysis step, such as the IBM Watson Tone Analyzer (https://www.ibm.com/watson/services/tone-analyzer) was another positive. It allowed us to abstract out the complexity of training and deploying a model, making the whole step more reliable and certainly ...
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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.