WatsonX.data by IBM

Data analysisData analysis

Description

Find and connect to data sources, gain trusted insights, and lower data warehouse costs with Watsonx.data. This fit-for-purpose data store is optimized for data and AI workloads, featuring an open, hybrid, and governed data store to access and share data. With built-in governance, security, and automation, trust in data is enhanced. Reduce data warehouse costs by up to 50% by optimizing workloads across query engines and storage tiers. Support self-service access, streamline data engineering, and ensure compliance with centralized governance and automated policy enforcement.

About WatsonX.data by IBM

Introducing Watsonx.data, the ultimate fit-for-purpose data store built to optimize governed data and AI workloads. This cutting-edge tool is designed to help enterprises effortlessly scale their analytics and AI capabilities, ensuring maximum efficiency and cost-effectiveness.

With Watsonx.data, users can seamlessly connect to various data sources and gain trusted insights, all while significantly reducing data warehouse costs. This powerful solution is optimized to handle diverse data types, analytics, and AI workloads, featuring an open, hybrid, and governed data store that promotes easy access and data sharing.

One of the standout features of Watsonx.data is its shared metadata layer, which provides a single point of entry for accessing all data. In addition, built-in governance, security, and automation capabilities enhance data trust, making it the ideal choice for businesses that prioritize data integrity and compliance.

By leveraging Watsonx.data, users can enjoy up to a 50% reduction in data warehouse costs. This is made possible through the optimization of costly data warehouse workloads across multiple query engines and storage tiers. Watsonx.data supports several fit-for-purpose query engines, including Presto, Spark, Db2, and Netezza, which dynamically scale to drive down analytics expenses.

Storing vast amounts of data using vendor-agnostic open formats like Parquet, Avro, and Apache ORC is made simple with Watsonx.data. The tool also enables the sharing of a single copy of data across multiple query engines using the Apache Iceberg table format and shared metadata.

By leveraging the power of Watsonx.ai models, Watsonx.data provides users with semantic automation capabilities. This allows for easy discovery, augmentation, refinement, and visualization of both watsonx.data and metadata, streamlining AI model development and deployment.

Create, train, tune, deploy, and monitor trusted AI models for mission-critical workloads with Watsonx.data. This powerful tool ensures compliance with lineage and reproducibility of data used for AI, giving enterprises peace of mind when it comes to data integrity and regulatory requirements.

Watsonx.data is also the go-to solution for streamlining data engineering, reducing data pipelines, simplifying data transformation, and enriching data for consumption. Whether users prefer SQL, Python, or an AI-infused conversational interface, Watsonx.data empowers them to effortlessly navigate the data landscape.

Lastly, Watsonx.data enables enterprises to support self-service access for more users while simultaneously ensuring security and compliance through centralized governance and local automated policy enforcement. This comprehensive solution allows businesses to unlock the full potential of their data while maintaining a strong security posture.

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