Book Image

Redash v5 Quick Start Guide

By : Alexander Leibzon, Yael Leibzon
Book Image

Redash v5 Quick Start Guide

By: Alexander Leibzon, Yael Leibzon

Overview of this book

Data exploration and visualization is vital to Business Intelligence, the backbone of almost every enterprise or organization. Redash is a querying and visualization tool developed to simplify how marketing and business development departments are exposed to data. If you want to learn to create interactive dashboards with Redash, explore different visualizations, and share the insights with your peers, then this is the ideal book for you. The book starts with essential Business Intelligence concepts that are at the heart of data visualizations. You will learn how to find your way round Redash and its rich array of data visualization options for building interactive dashboards. You will learn how to create data storytelling and share these with peers. You will see how to connect to different data sources to process complex data, and then visualize this data to reveal valuable insights. By the end of this book, you will be confident with the Redash dashboarding tool to provide insight and communicate data storytelling.
Table of Contents (10 chapters)

Connecting to Data Sources

To start querying your data, you first need to connect to a Data Source, as mentioned in brief in Chapter 3, Creating and Visualizing your First Query. The Data Source is where the data resides.

It can be a traditional database, .csv file, a brand new fancy NoSQL store, or even an existing query result!

Redash allows you to create running queries on top of all of them.

Please note that the terminology might be a bit confusing since, when saying Data Source, we might mean both the Data Source itself (not inside Redash, for example, an ElasticSearch cluster), and the Redash Data Source, which represents the connection from within Redash to the external Data Source. The surrounding context should help with overcoming this confusion.

In this chapter, we will be reviewing the various Data Sources in detail.

We will be covering the following topics:

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