Litcius/Paper detail

Amazon Redshift Re-invented

Nikos Armenatzoglou, Sanuj Basu, Naga Bhanoori, Mengchu Cai, Naresh Chainani, Kiran Chinta, Venkatraman Govindaraju, Todd J. Green, Monish Gupta, Sebastian Hillig, Eric Hotinger, Yan Leshinksy, Jintian Liang, Michael McCreedy, Fabian Nagel, Ippokratis Pandis, Panos Parchas, Rahul Pathak, Orestis Polychroniou, Foyzur Rahman, Gaurav Saxena, Gokul Soundararajan, Sriram Subramanian, Doug Terry

2022Proceedings of the 2022 International Conference on Management of Data85 citationsDOIOpen Access PDF

Abstract

In 2013, AmazonWeb Services revolutionized the data warehousing industry by launching Amazon Redshift, the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. This cloud service was a significant leap from the traditional on-premise data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Customers embraced Amazon Redshift and it became the fastest growing service in AWS. Today, tens of thousands of customers use Redshift in AWS's global infrastructure to process exabytes of data daily.

Topics & Concepts

Amazon rainforestCloud computingRedshiftData warehouseComputer sciencePetabyteService (business)PremiseScale (ratio)Process (computing)Data scienceDatabaseBig dataWorld Wide WebBusinessGeographyMarketingAstrophysicsData miningCartographyPhysicsOperating systemGalaxyEcologyBiologyPhilosophyLinguisticsDistributed systems and fault toleranceCloud Computing and Resource ManagementData Quality and Management