Descriptions
Linkedin – Introduction to Spark SQL and DataFrames 2019-5, Explore DataFrames, a widely used data structure in Apache Spark. DataFrames allow Spark developers to perform common data operations, such as filtering and aggregation, as well as advanced data analysis on large collections of distributed data. With the addition of Spark SQL, developers have access to an even more popular and powerful query language than the built-in DataFrames API. In this course, instructor Dan Sullivan shows how to perform basic operations—loading, filtering, and aggregating data in DataFrames—with the API and SQL, as well as more advanced techniques that are easily performed in SQL. In this section of the course, Dan explains how to join data, eliminate duplicates, and deal with null or NA values. The lessons conclude with three in-depth examples of using DataFrames for data science: exploratory data analysis, time series analysis, and machine learning.
What you’ll learn
- Understand the fundamentals of DataFrames in Apache Spark
- Perform data operations such as filtering, aggregation, and joining using DataFrames API and Spark SQL
- Handle duplicates and null values in DataFrames
- Apply DataFrames for exploratory data analysis, time series analysis, and machine learning
Who this course is for
- Data engineers and analysts working with Apache Spark
- Developers interested in distributed data processing and analysis
- Anyone seeking practical skills in Spark SQL and DataFrames for data science projects
Specificatoin of Introduction to Spark SQL and DataFrames
- Publisher : Linkedin
- Teacher : Dan Sullivan
- Language : English
- Level : All Levels
- Duration : 1 hours and 54 minutes
Content of Introduction to Spark SQL and DataFrames
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
206 MB
