This allows you to make this data available to other analytics and machine learning applications rather than locking it in a silo.ĪWS Week in Review – AWS Wickr, Amazon Redshift, Generative AI, and More – May 29, 2023 With a modern data architecture, you can store data in semi-structured format in your Amazon Simple Storage Service (Amazon S3) data lake and integrate it with structured data on Amazon Redshift. Amazon Redshift powers the modern data architecture, which enables you to query data across your data warehouse, data lake, and operational databases to gain faster and deeper insights not possible otherwise. A vast amount of this data is available in semi-structured format and needs additional extract, transform, and load (ETL) processes to make it accessible or to integrate it with structured data for analysis. Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as high-performance business intelligence (BI) reporting, dashboarding applications, data exploration, and real-time analytics.Īs the amount of data generated by IoT devices, social media, and cloud applications continues to grow, organizations are looking to easily and cost-effectively analyze this data with minimal time-to-insight. Amazon Redshift offers up to three times better price performance than any other cloud data warehouse.
Post Syndicated from Dipankar Kushari original Īmazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL.
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