June 2021
Intermediate to advanced
264 pages
7h 19m
English
Content preview from 97 Things Every Data Engineer Should Know
Become 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,
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.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.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.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.
Chapter 38. How to Build Your Data Platform like a Product
Barr Moses and Atul Gupte
At its core, a data platform is a central repository for all data, handling the collection, cleansing, transformation, and application of data to generate business insights. For most organizations, building a data platform is no longer a nice-to-have option but a necessity, with many businesses distinguishing themselves from the competition based on their ability to glean actionable insights from their data.
Much in the same way that many view data itself as a product, data-first companies like Uber, LinkedIn, and Facebook increasingly view data platforms as products too, with dedicated engineering, product, and operational teams. Despite their ubiquity and popularity, however, data platforms are often spun up with little foresight into who is using them, how they’re being used, and what engineers and product managers can do to optimize these experiences.
Whether you’re just getting started or are in the process of scaling one, we share three best practices for avoiding these common pitfalls and building the data platform of your dreams.
Align Your Product’s Goals with the Goals of the Business
When you’re building or scaling your data platform, the first question you should ask is, how does data ...
Become 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,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.