Getir, an ultrafast delivery pioneer, leveraged Amazon Redshift to democratize their data on a large scale through their data mesh architecture.
Amazon Redshift data sharing powered the data mesh architecture that enabled data democratization, shorter time-to-market, and cost-efficiencies.
Redshift data sharing allowed business line teams to have their own data and analytics capabilities, along with refined 360-degree views of data generated from all over the organization without duplication or overstepping compute boundaries.
Moreover, Amazon Redshift and data mesh allowed Getir to maintain a chargeback model for ensuring costs were spread fairly across different teams and enabled the seamless propagation of newly created tables.
Getir's case study showcases the strategic uses of a data mesh architecture and Amazon Redshift, but more importantly provides tremendous insights into five key trends across all industries.
Those trends are interconnected, purpose-built data stores; data democratization; real-time insights to drive greater value from data; resilient data services ensuring business continuity; and leveraging generative AI to extract even deeper insights from data more expeditiously.
Furthermore, data mesh architecture can play a crucial role in enabling and facilitating Retrieval Augmented Generation (RAG), thereby helping organizations harness the full potential of their data assets.
In conclusion, Getir implemented a data mesh architecture and Amazon Redshift data sharing to meet their evolving data requirements, which entailed dedicated data warehouses tailored to different business lines and needs, while maintaining robust data governance and secure data access.
The use of data mesh architecture and Amazon Redshift data sharing has proven to eliminate costly and barrier-inducing data silos and empowers data-driven decision-making.
For more information, contact AWS or connect with your AWS Technical Account Manager or Solutions Architect.