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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Back to our sentiment analysis of Twitter hashtags project
The quick data pipeline prototype we built gave us a good understanding of the data, but then we needed to design a more robust architecture and make our application enterprise ready. Our primary goal was still to gain experience in building data analytics, and not spend too much time on the data engineering part. This is why we tried to leverage open source tools and frameworks as much as possible:
- Apache Kafka (https://kafka.apache.org): This is a scalable streaming platform for processing the high volume of tweets in a reliable and fault-tolerant way.
- Apache Spark (https://spark.apache.org): This is an in-memory cluster-computing framework. Spark provides a programming interface that abstracts ...
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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.