Using the watsonx.data console

You can use watsonx.data to collect, store, query, and analyze all your enterprise data with a single unified data platform.

watsonx.data is a unique solution that allows co-existence of open source technologies and proprietary products. It offers a single platform where you can store the data or attach data sources for managing and analyzing your enterprise data.

Use watsonx.data to store any type of data (structured, semi-structured, and unstructured) and make that data accessible directly for Artificial Intelligence (AI) and Business Intelligence (BI). You can also attach your data sources towatsonx.data, which helps to reduce data duplication and cost of storing data in multiple places. It uses open data formats with APIs and machine learning libraries, making it easier for data scientists and data engineers to use the data. watsonx.data architecture enforces schema and data integrity, making it easier to implement robust data security and governance mechanisms.

With the use of Presto (Java), you do not need to manage multiple query languages and interfaces to different databases and storage. Presto (Java) is designed for storage abstraction, which allows connections to any data source through its connectors.

The Hive Metastore acts as a bridge between the schema of the table and the data files that are stored in object storage. HMS holds the definitions, schema, and other metadata for each table and maps the data files and directories to the table representation that is the user views. watsonx.data uses the Remote Metastore mode of HMS. The metastore runs on its own separate JVM and is accessible by using thrift network APIs.

Using the watsonx.data console, you can configure different components, create schemas and tables, browse the schemas and tables, ingest data, run SQL queries against the data, manage user access, and more.