September 2017
Beginner to intermediate
360 pages
8h 13m
English
book
Practical Real-time Data Processing and Analytics
by Shilpi Saxena, Selva raj Ramasamy, Prateek Bhati, Saurabh Gupta
Content preview from Practical Real-time Data Processing and Analytics
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Big data infrastructure
Before delving further into big data infrastructure, let's have a look at the big data high–level landscape.
The following figure captures high–level segments that demarcate the big data space:
It clearly depicts the various segments and verticals within the big data technology canvas (bottom up).
The key is the bottom layer that holds the data in scalable and distributed mode:
- Technologies: Hadoop, MapReduce, Mahout, Hbase, Cassandra, and so on
- Then, the next level is the infrastructure framework layer that enables the developers to choose from myriad infrastructural offerings depending upon the use case and its solution ...
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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.
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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.