Learn how to create simple data visualizations using the built-in Databricks notebook capabilities.
- [Instructor] Data visualization…is one of the most powerful ways…to communicate our analysis and our findings.…So let's take a look at visualizing data…in Databricks Notebooks.…Now just to recap,…data visualization is the idea where you can convert…text-based data like a grid or a pivot table…into a graphical representation…and it really makes sense because we as humans…process visual input much faster…than any other type of sensory input.…In order to do this,…what we're going to first do is recreate our sales table.…When we did it before,…we just went through the basic steps…and we need to retype some of that data…so we can actually perform calculations on it.…
Then we'll build a bar chart,…build a line chart,…and build a map and who knows,…maybe there'll be even a bonus in there for you.…So back here in my Databricks environment,…I have a table cosgley_sales.…And if we take a look at this,…you can see that everything is typed as a string…which is fine, it imported the data correctly,…but notice there are a lot of things here…
- Understanding Spark
- Reviewing Spark components
- Where Spark shines
- Understanding data interfaces
- Working with text files
- Loading CSV data into DataFrames
- Using Spark SQL to analyze data
- Running machine learning algorithms using MLib
- Querying streaming data
- Connecting BI tools to Spark
Skill Level Intermediate
1. Introducing Apache Spark
2. Analyzing Data in Spark
3. Using Spark SQL to Analyze Data
4. Running Machine Learning Algorithms Using MLlib
5. Real-Time Data Analysis with Spark Streaming
6. Connecting BI Tools to Spark
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