Amazon Redshift Tutorial 2022
Amazon RedShift is one of the leading cloud storage providers. An integrated data warehouse designed to store and analyze large-scale data sets. So let's explore the Amazon Redshift architecture. It can be mainly divided into the following parts:
- Client applications: Redshift works mainly with SQL client applications based on the PostgreSQL industry standard. Not only this, with the help of many ETL, BI, data analysis, and data mining tools it is also possible.
- Connections: Redshift communicates with PostgreSQL via JDBC and ODBC drivers.
- Cluster groups: The purpose of the red exchange is to work in groups. A typical red-shift group consists of two or more computational nodes combined with a basic node. All client programs interact with the team with just a lead button.
- Lead Button: The lead button in the Amazon RedShift Cluster controls all external and internal connections. When a demand block is sent, the demand is responsible for drafting the plan.
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- Mathematical nodes: Mathematical nodes are responsible for performing and storing data for real needs. They process the requirements and return the results to the leader button, which summarizes the results. There are two computing nodes: dense warehouse (DS) and dense computing (DC).
- Node slices: Math nodes have slices. Each language has a memory partition and a math node disk that performs the required operations. The number of parts for each math node is determined based on the type of node.
- Internal network: Compute nodes run on a separate network, client programs will never be able to communicate directly.
For more information on Amazon Redshift architecture, please contact:
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