The Redshift database is a cloud-based big data storage solution offered by Amazon Web Services (AWS). The platform allows companies to store petabytes of data in easily accessible “clusters” that can be consulted in parallel. And each of these “nodes” can be accessed independently by users and applications.
Redshift is designed to be used with a variety of data sources and analysis tools and is compatible with many existing SQL-based clients.
As for the platform architecture, it makes it easy to create a Redshift connection with a variety of Business Intelligence (BI) tools.
In addition, every Redshift data warehouse is fully managed, so administrative tasks such as configuration, maintenance and security backups are fully automated.
We will talk about this throughout this article. Keep reading to understand!
Why did Redshift come about?
Redshift is designed for big data and easily scales thanks to its modular node design. With its multi-tiered structure, it allows multiple queries to be processed simultaneously, reducing wait times.
Additionally, Redshift clusters can be sliced, which helps to provide more granular insights into datasets.
Redshift databases also take full advantage of Amazon's cloud server infrastructure, including access to AWS S3 to back up your data.
Why use the Redshift database?
data intelligence
One of the most effective uses of Redshift databases is in organizations that have a high demand for analytics and data access.
Thanks to its vertical cluster design, different departments and teams can have their own node and easily access others without increasing wait times or causing bottlenecks.
Financial services
In financial services, Redshift can be used to analyze historical market data or to build predictive models.
In practice, all organizations that have variable data needs can also benefit from using Redshift. That's because nodes can be turned on and off on demand, going from gigabytes to petabyte-level storage in minutes.
Marketing
A common use of the platform is to store log data for analysis — information that includes web logs, clickstream data, and more. This is useful in online marketing and advertising, as well as UX design, for example.
business intelligence
In business intelligence, using a redshift database is useful to generate multiple unique dashboards and allow for better ad hoc analysis.
Companies that collect data from different sources and channels can also benefit from Redshift's modular design, thanks to a variety of connectors and support for SQL and many other database client languages.
About Amazon Redshift
Amazon Redshift is a fully managed, petabyte-scale cloud-based data warehouse product designed for large-scale dataset storage and analysis. It is also used to perform large scale database migrations.
Redshift's column-oriented database is designed to connect to SQL-based clients and business intelligence tools, making the data available to users in real time. Based on PostgreSQL 8, Redshift delivers fast performance and efficient queries that help teams make sound business decisions and analysis.
Summing it Up
Amazon Redshift is a fully managed cloud data warehouse. It has the ability to scale to petabytes, but lets you start with just a few gigabytes of data. Leveraging Redshift, you can use your data to gain new business insights.
→ Also read: Implementing Amazon Redshift on Autoglass!
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