![]() ![]() ![]() organizes the data by column, as column-based systems are ideal for data warehousing and analytics, where queries often involve aggregates performed over large data sets.makes it easy to add nodes to the data warehouse and enables fast query performance as the data warehouse grows.automatically distributes data and query load across all nodes.Redshift can be easily enabled to a second region for disaster recovery.Redshift provides Audit logging and AWS CloudTrail integration.Redshift provides monitoring using CloudWatch and metrics for compute utilization, storage utilization, and read/write traffic to the cluster are available with the ability to add user-defined custom metrics.Redshift only supports Single-AZ deployments and the nodes are available within the same AZ if the AZ supports Redshift clusters.supports VPC, SSL, AES-256 encryption, and Hardware Security Modules (HSMs) to protect the data in transit and at rest.distributes & parallelize queries across multiple physical resources.scale up or down with a few clicks in the AWS Management Console or with a single API call.uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from node and component failures.provide fast querying capabilities over structured and semi-structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections.significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.monitors the nodes and drives to help recovery from failures.patches and backs up the data warehouse, storing the backups for a user-defined retention period.set up, operate, and scale a data warehouse, from provisioning the infrastructure capacity.Redshift is an OLAP data warehouse solution based on PostgreSQL.Amazon Redshift is a fully managed, fast, and powerful, petabyte-scale data warehouse service. ![]()
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