Cloud Pak for Data

What does Watson Query offer you? 

IBM Watson Query on IBM Cloud Pak for Data lets you query across databases, data warehouses, and data lakes. Watson Query connects multiple data sources into a single self-balancing collection of data sources or databases. Imagine what you could do with all your customer data in one place!

You can combine tables from multiple sources that are similar into a single virtual table. You can segment either a subset or superset of columns to create your virtual table. Then, you can run queries against the resulting virtual table the same way that you would query any of the base tables. 

If you want to understand the quality of your data, you can also assign virtualized data to an analytics project. Then, go to the project and run Metadata Import and Metadata Enrichment against the virtualized data assets. You will be able to see the data quality in the details of your virtualized data assets.

What are the key benefits of Watson Query? 

• Reduce data copies and movement. Avoid production data being replicated everywhere. Eliminate data silos.
  
• Query multiple data sources as one single database to simply integrate data across hybrid and multiple clouds.
• Deeply integrate with Watson Knowledge Catalog to govern and protect sensitive data.
• Enable self-service for data by leveraging your business glossary.
• Avoid extracting, transforming, and loading. Get faster time to value with virtual data.
• Use smart caches to accelerate analytics queries and reduce overhead on production systems.

What are some use cases for Watson Query?

• Create a prototype of an enterprise data warehouse, for example, for mergers or acquisitions.
• Virtualize Big Data (Hadoop, NoSQL, and Data Science).
• Offload workload or add value to base data.
• Save on the cost of setting up a relational data warehouse by creating a virtual data warehouse.
• Run "what if" scenarios across hybrid platforms and data sources for data discovery.
• Use data caching of combined data for frequently accessed data.
• Combine Master Data Management with IoT for Systems of Insight (IT/OT).
• Prepare for data integration by combining data from multiple sources, for example, customer data.
• Build and enrich a 360-degree view of your data.

Where can I learn more?

• IBM Watson Query product information
• Watson Query data sheet
• Virtualizing data with Watson Query  (Cloud Pak for Data product documentation)

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