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With a fully managed, AI powered, massively parallel processing (MPP) architecture, Amazon Redshift drives business decision making quickly and cost effectively. AWS’s zero-ETL approach unifies all your data for powerful analytics, near real-time use cases and AI/ML applications. Share and collaborate on data easily and securely within and across organizations, AWS regions and even 3rd party data providers, supported with leading security capabilities and fine-grained governance.
Welcome to the Amazon Redshift Management Guide. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift Serverless lets you access and analyze data without all of the configurations of a provisioned data warehouse. Resources are automatically provisioned and data warehouse capacity is intelligently scaled to deliver fast performance for even the most demanding and unpredictable workloads.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Amazon Redshift materialized views allow you to achieve significantly faster query performance for iterative or predictable analytical workloads such as dashboarding and queries from Business Intelligence (BI) tools, and extract, transform and load ELT data processing jobs. You can use materialized views to easily store and manage precomputed results of a SELECT statement that may reference one or more tables, including external tables.
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. Resources are automatically provisioned and data warehouse capacity is intelligently scaled to deliver fast performance for even the most demanding and unpredictable workloads. You don't incur charges when the data warehouse is idle, so you only pay for what you use.
General. Amazon Redshift Delivery Partners help you load, transform, and analyze data, and architect and implement analytics platforms. Amazon Redshift Ready Partners offer products that integrate with Amazon Redshift to enable you to gather data insights and analytics productively, and at scale. Go to this page to find a partner in your region.
Cluster – The core infrastructure component of an Amazon Redshift data warehouse is a cluster.. A cluster is composed of one or more compute nodes. The compute nodes run the compiled code.. If a cluster is provisioned with two or more compute nodes, an additional leader node coordinates the compute nodes. The leader node handles external communication with applications, such as business intelligence tools and query editors.
Sep 20, 2024 · To download and install the ODBC driver: Download the following driver: 64-bit ODBC driver version 2.1.3.0. The name for this driver is Amazon Redshift ODBC Driver (x64). Review the Amazon Redshift ODBC driver version 2.x license. Double-click the .msi file, then follow the steps in the wizard to install the driver.
Amazon Redshift is deeply integrated with AWS database, analytics, and machine learning services to employ Zero-ETL approaches or help you access data in place for near real-time analytics, build machine learning models in SQL, and enable Apache Spark analytics using data in Redshift. Amazon Redshift Serverless enables your engineers, developers, data scientists, and analysts to get started easily and scale analytics quickly in a zero-administration environment. With its Massively Parallel ...
Amazon Redshift is a fast, fully-managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently using your existing business intelligence tools. It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more, and is designed to cost less than a tenth of the cost of most traditional data warehousing solutions.
