March 2019
Beginner to intermediate
221 pages
6h 35m
English
Content preview from The Enterprise Big Data Lake
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Chapter 10. Industry-Specific Perspectives
This chapter contains a collection of essays about the implementation of data lakes by data experts from various industries. One essay had to be published anonymously because the writer could not get permission to reveal their affiliation, while the others are fully attributed. While the rest of the book is focused on best practices and characteristics of successful data lakes gleaned through numerous discussions with practitioners, this chapter is focused on industry specifics. Each essay is by a different industry expert and addresses some or all of the following questions:
- Why?
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The essays provide an overview of some of the main initiatives driving big data lake adoption for different industries.
- Why now?
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What has changed to enable these solutions? How have Hadoop, big data, data science, or data lakes changed the equation?
- What’s next?
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Where does the author see the industry going in adopting big data and analytics? How is data going to change their industry?
First you will hear from Jari Koister, who does advanced analytics in the financial services industry for FICO and teaches data science at Berkeley. Jari’s essay focuses on improving business outcomes. The next essay, from Simeon Schwartz, focuses on using big data for governance and compliance at Schwab and other large financial services organizations.
Next, you will hear from a big data lead from a major insurance company, followed by an essay on smart cities from Brett ...
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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.