With the goal of assisting businesses in growing their analytics and artificial intelligence capabilities, Watsonx.data is a versatile data store that is suited for controlled data and AI workloads.
Users may save money on data warehouse expenses, obtain reliable insights, and rapidly connect to data sources with watsonx.data. The tool has an open, hybrid, and controlled data store that enables users to access and share data, and it is optimized for all data, analytics, and AI workloads.
Watsonx.data comes with built-in automation, security, and governance to improve data trust, as well as a shared metadata layer to access all data from a single point of entry.
With the tool, customers may optimize expensive data warehouse workloads across several query engines and storage tiers, resulting in a 50% reduction in data warehouse costs.Presto, Spark, Db2, and Netezza are just a few of the suitable query engines that Watsonx.data supports. These engines dynamically scale up and down to reduce the cost of analytics.
With the use of the Apache Iceberg table structure and shared metadata, users may share a single copy of data across several query engines and store enormous volumes of data in vendor-neutral open formats like Parquet, Avro, and Apache ORC.
Semantic automation is a feature of the product that enables users to leverage the power of Watsonx.ai models to discover, enrich, refine, and visualize Watsonx.data and metadata.
With data from the Lakehouse, Watsonx.data helps businesses to create, train, fine-tune, implement, and track reliable AI models for workloads that are mission-critical. It also guarantees that the data used for AI is reproducible and compliant with lineage.
With Watsonx.data, you can utilize SQL, Python, or an AI-powered conversational interface to ease data transformation, minimize pipelines for data, and enhance data for consumption.
Lastly, with centralized governance and locally automated policy enforcement, Watsonx.data helps businesses to offer self-service access for a greater number of users to a greater amount of data, all the while maintaining security and compliance.
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