February 2019
Beginner to intermediate
544 pages
14h 36m
English
Content preview from Mastering Hadoop 3
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Dataset
Spark dataframes have some limitations such as type-safety and therefore the dataset APIs were introduced in version 1.6. The dataset is nothing but an advanced version of a dataframe and is a collection of strongly typed JVM objects. These are represented in tabular format using an encoder. The RDD features such as immutability, fault tolerance, lazy evaluation, and so on are also available with a dataset. The encoder is responsible for the serialization and deserialization of data. It helps in translating data from a JVM object into Spark internal binary format and vice versa. Let's look into a few features of a dataset:
- Processing capabilities: A dataset can operate on both structure and unstructured datasets. It can also work ...
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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.
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.