September 2016
Beginner to intermediate
326 pages
6h 47m
English
Content preview from Big Data AnalyticsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Evolution of DataFrames and Datasets
A DataFrame is used for creating rows and columns of data just like a Relational Database Management System (RDBMS) table. DataFrames are a common data analytics abstraction that was introduced in the R statistical language and then introduced in Python with the proliferation of the Pandas library and the pydata ecosystem. DataFrames provide easy ways to develop applications and higher developer productivity.
Spark SQL DataFrame has richer optimizations under the hood than R or Python DataFrame. They can be created from files, pandas DataFrames, tables in Hive, external databases like MySQL, or RDDs. The DataFrame API is available in Scala, Java, Python, and R.
While DataFrames provided relational operations ...
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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.