February 2021
Beginner to intermediate
274 pages
5h
English
Content preview from Data Pipelines Pocket Reference
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Chapter 1. Introduction to Data Pipelines
Behind every glossy dashboard, machine learning model, and business-changing insight is data. Not just raw data, but data collected from numerous sources that must be cleaned, processed, and combined to deliver value. The famous phrase “data is the new oil” has proven true. Just like oil, the value of data is in its potential after it’s refined and delivered to the consumer. Also like oil, it takes efficient pipelines to deliver data through each stage of its value chain.
This Pocket Reference discusses what these data pipelines are and shows how they fit into a modern data ecosystem. It covers common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion, building versus buying tooling, and more. Though it is not exclusive to a single language or platform, it addresses the most common decisions made by data professionals while discussing foundational concepts that apply to homegrown solutions, open source frameworks, and commercial products.
What Are Data Pipelines?
Data pipelines are sets of processes that move and transform data from various sources to a destination where new value can be derived. They are the foundation of analytics, reporting, and machine learning capabilities.
The complexity of a data pipeline depends on the size, state, and structure of the source data as well as the needs of the analytics project. In their simplest form, pipelines may extract only 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.