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1
Introduction
2
Agenda
3
What is Spark
4
Spark Timeline
5
What is RDD
6
RDD Implementation
7
Stretching
8
DataFrame API
9
Projection and Filter
10
Aggregation
11
Data Set
12
Data Set Visualization
13
Data Aggregation
14
What is Database
15
Database Functionality
16
Database Walkthrough
17
ETL operation
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about Apache Spark Structured APIs and their application in data manipulation using Databricks in this 41-minute tutorial. Explore key concepts including Spark's evolution, RDD implementation, DataFrame API, and database functionality. Gain hands-on experience with projection, filtering, aggregation, and data visualization techniques. Discover the essentials of ETL operations and understand how to effectively maneuver various data types using Spark Structured APIs in a Databricks environment.

Apache Spark Structured APIs Using Databricks

NashKnolX
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