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Modern Data Architectures with Python

You're reading from Modern Data Architectures with Python

Product type Book

Published in Sep 2023

Publisher Packt

ISBN-13 9781801070492

Pages 318 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Brian Lipp

Table of Contents (19) Chapters

Preface

1. Part 1:Fundamental Data Knowledge

2. Chapter 1: Modern Data Processing Architecture

3. Chapter 2: Understanding Data Analytics

4. Part 2: Data Engineering Toolset

5. Chapter 3: Apache Spark Deep Dive

6. Chapter 4: Batch and Stream Data Processing Using PySpark

7. Chapter 5: Streaming Data with Kafka

8. Part 3:Modernizing the Data Platform

9. Chapter 6: MLOps

10. Chapter 7: Data and Information Visualization

11. Chapter 8: Integrating Continous Integration into Your Workflow

12. Chapter 9: Orchestrating Your Data Workflows

13. Part 4:Hands-on Project

14. Chapter 10: Data Governance

15. Chapter 11: Building out the Groundwork

16. Chapter 12: Completing Our Project

17. Index

Why subscribe?

18. Other Books You May Enjoy

Data visualization using notebooks

Here, we will discuss the main types of visualization charts and give examples for each, using plotly.express and the Databricks notebook GUI.

Line charts

Line charts are used with varying data points that move over an endless plain. A perfect example of data on a continuous plain is time-series data. One thing to consider with line charts is that it’s best to show small changes over a more extended period.

Bar charts

Bar charts help compare significant changes and show differences between groups of data. A key detail to remember is that bar charts are not used for contiguous data and typically represent categorical data.

Histograms

Histograms can be thought of as bar charts for continuous data. Histograms are often used with frequency over, for example, sales data.

Scatter plots

Scatter plots are essential charts showing relationships between two datasets and the correlation between data.

Pie charts

Pie charts...

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Authors (1)

Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.

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