Cloud data warehouse solutions are changing the way we build and support data platforms for insights. You can provision a cloud data warehouse in minutes without requiring any technical expertise, allowing business analysts and other nontechnical users to access, store, and process large amounts of data for insights.
Forrester defines cloud data warehouse as: An on-demand, secure, and scalable self-service data warehouse that automates the provisioning, administration, tuning, backup, and recovery to accelerate analytics and actionable insights while minimizing administration requirements.
AWS (Redshift), Snowflake, Google (BigQuery), And Oracle [Autonomous Data Warehouse (ADW)..old exadata]Lead The Pack; Teradata, IBM, Hortonworks, Microsoft, and MarkLogic are Strong Performers in "The Forrester Wave™: Cloud Data Warehouse, Q4 2018"
Forrester defines cloud data warehouse as: An on-demand, secure, and scalable self-service data warehouse that automates the provisioning, administration, tuning, backup, and recovery to accelerate analytics and actionable insights while minimizing administration requirements.
AWS (Redshift), Snowflake, Google (BigQuery), And Oracle [Autonomous Data Warehouse (ADW)..old exadata]Lead The Pack; Teradata, IBM, Hortonworks, Microsoft, and MarkLogic are Strong Performers in "The Forrester Wave™: Cloud Data Warehouse, Q4 2018"
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