The Complete Amazon Redshift Guide for Data Analysts

Giorgos Psistakis

Data generation and usage is multiplying. Every day, we create 2.5 quintillion bytes of data, and that is a lot of data to gather and understand! So businesses simply have to adopt such technologies especially if they want to scale and to have the right people, that will explain this sea of information, and help them make strategic decisions.

You as a Data Analyst, by knowing what data is relevant to your business and how to leverage these data, you are connecting two worlds. The IT and data side from one hand and the business goals on the other.

Data-driven companies often consider Amazon Redshift as one of the data warehouse technologies. There are kinds of applications that require from a data analyst to go beyond the SQL capabilities of a data warehouse. You have to make sure to have the tools for the job to access your data, understand how distribution keys work, work with time-series data or how important are some maintenance tasks for the health of your queries and more…

Yes, as a Data Analyst you will not need to know the ins and outs of such a complicated system like Amazon Redshift but knowing where to look is something you can learn. We have created a new guide to help you do just that: The Complete Amazon Redshift Guide for Data Analysts.

This Amazon Redshift guide will take you step-by-step through how to get started with Amazon Redshift clusters, from the very beginning. It covers:

  • How to setup your Amazon Redshift cluster
  • How to load data into Redshift and how to export data from it.
  • How to work with Tables, Keys, and Views in Redshift.
  • How to optimize the health of your queries.
  • How maintenance and which tasks affect your queries.
  • How to monitor the performance of your queries.

This guide will give you all the information you need to start working with Amazon Redshift and optimizing your queries on it. So download our free ebook, The Complete Amazon Redshift Guide for Data Analysts, and learn how to get the most out of your Amazon Redshift cluster.

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