Conclusion
Today, cloud data warehouses within a modern analytics architecture working
hand in hand with a data lake and purpose-built data stores are changing the
way we deploy analytics at scale to transform our businesses and environments.
Common use cases include market analytics, AI- and ML-based analytics, industry
vertical analytics (including financial services, gaming, software-as-a-service [SaaS]
businesses, and healthcare), and real-time analytics. As you embark on your big data
analytics journey, look for a partner that offers industry-leading price performance,
broad automation, a road map focused on continual innovation, integrations with
complementary cloud services, and a robust ecosystem for innovation.
Learn more about Amazon Redshift ›
© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.
21
