Book Image

Data Engineering with Python

By : Paul Crickard
Book Image

Data Engineering with Python

By: Paul Crickard

Overview of this book

Data engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.
Table of Contents (21 chapters)
Section 1: Building Data Pipelines – Extract Transform, and Load
Section 2:Deploying Data Pipelines in Production
Section 3:Beyond Batch – Building Real-Time Data Pipelines

Installing and configuring Kibana

Elasticsearch does not ship with a GUI, but rather an API. To add a GUI to Elasticsearch, you can use Kibana. By using Kibana, you can better manage and interact with Elasticsearch. Kibana will allow you to access the Elasticsearch API in a GUI, but more importantly, you can use it to build visualizations and dashboards of your data held in Elasticsearch. To install Kibana, take the following steps:

  1. Using wget, add the key:
    wget -qO - | sudo apt-key add -
  2. Then, add the repository along with it:
    echo "deb stable main" | sudo tee -a /etc/apt/sources.list.d/elastic-7.x.list
  3. Lastly, update apt and install Kibana:
    sudo apt-get update
    sudo apt-get install kibana
  4. The configuration files for Kibana are located in etc/kibana and the application is in /usr/share/kibana/bin. To launch Kibana, run the following:
  5. When Kibana...