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Amazon Redshift

Reduce data deployment time from months to hours and get multiple benefits with BryteFlow Enterprise edition. Efficiently merge, replicate, and transform data to Amazon S3, Amazon Redshift, and Snowflake. Reconciled data in minutes regardless of type of database, file, or API. High availability software with built-in resiliency.

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Amazon Redshift

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  1. A Short Overview of a Fully Managed Data Warehouse Tool What tool would you use if you want a fast, fully managed data warehouse that makes it easy and convenient as well as cost-effective to analyze all standard data using SQL and your existing Business Intelligence (BI)?It is Amazon Redshift which allows users to run complex analytic queries against petabytes of structured data, using cutting-edge query optimization, storage on high-performance local disks and massive parallel query execution. 

  2. Businesses can start on any scale with Redshift, from $0.25 per hour without any commitments and move on to petabytes of data for $1,000 per terabyte per year at a tenth of the expenses of traditional solutions. Amazon Redshift also includes Amazon Redshift Spectrum which helps to run SQL queries against exabytes of unstructured data in Amazon S3. 

  3. Businesses can start on any scale with Redshift, from $0.25 per hour without any commitments and move on to petabytes of data for $1,000 per terabyte per year at a tenth of the expenses of traditional solutions. Amazon Redshift also includes Amazon Redshift Spectrum which helps to run SQL queries against exabytes of unstructured data in Amazon S3. • Conventional data warehouses need large amounts of time and resources to administer. Additionally, the financial cost of building, maintaining, and growing self-managed, on-premise data warehouses is very high. Also, you have to constantly focus on what data to load and which to archive to keep costs down. Amazon Redshift, on the other hand, not only lowers the cost and operational overhead of a data warehouse significantly but also makes it easy to analyze large amounts of data in its native format without having to load the data. 

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