May 2017
Beginner to intermediate
596 pages
15h 2m
English
Content preview from Data Lake for Enterprises
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Context in a Data Lake - Data Ingestion Layer
In this chapter, we are dealing with a technology that constitutes one of the core layers of Data Lake, namely Data Ingestion Layer. For dealing with processing of data from both streaming and batch data from different applications in an enterprise having the layer is very important.
The technology that we have shortlisted to do this very important job of processing data is Apache Flink. I have to say that this selection was quite difficult as we have another technology in mind, namely Apache Spark, which was really strong in this area and more matured. But we decided to go with Flink in the end considering its pros. However, we have also detailed Spark a bit as opposed to other chapters in which ...
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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.