May 2017
Beginner to intermediate
596 pages
15h 2m
English
Content preview from Data Lake for Enterprises
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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.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.
Why Hadoop?
For me, the question Why Hadoop? is not really a question. In the industry as of now, for big data Apache Hadoop is indispensable. There are alternatives, but most of them work in conjunction with Hadoop. Listed here are some of the prominent reasons why Hadoop is technology of choice for the technical capability that we are looking for in a Data Lake implementation:
- It can handle high volumes of structured, semi-structured, and unstructured data with ease.
- It is less costly to implement as it can start off using commodity hardware and scale according to organization all requirement.
- It has the ever growing Apache community to support it with frequent releases, releasing bug fixes and enhancements alike. Hadoop, as you know, ...
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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.