Deploy a pre-configured data warehouse in minutes on Docker container supported infrastructure of choice, with elastic scaling and ease of updates/upgrades to continually meet service levels.
Gain insight when applying in-database analytics where the data resides. IBM PureData for Analytics, Spark and Open Source R provide predictive modeling algorithms built directly into the database.
Use Spark and IBM BLU Acceleration in-memory SQL columnar processing with a MPP cluster architecture to speed up complex queries and predictive model building, testing, and deployment.
With just a few clicks, unstructured data sources are automatically transformed into a structured format for analysis – Twitter data, Open Data, geospatial data, and more.
A common SQL analytics engine across public and private cloud dashDB form factors, and compatibility with on-premises data warehouses, enables workloads to be moved to the right location with ease.
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