WatsonX.data by IBM
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Scale Analytics with WatsonX.data
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Introduction:
Are you looking for a powerful AI tool that can help your enterprise scale its analytics and data management capabilities? Introducing WatsonX.data by IBM, a fit-for-purpose data store designed to optimize governed data and AI workloads. With WatsonX.data, you can quickly connect to data sources, gain trusted insights, and lower data warehouse costs.
This tool is optimized for all data, analytics, and AI workloads, featuring an open, hybrid, and governed data store that allows seamless access and sharing of data. WatsonX.data includes a shared metadata layer for easy access through a single point of entry, along with built-in governance, security, and automation to enhance data trust.
By leveraging WatsonX.data, you can reduce your data warehouse costs by up to 50% through workload optimization across multiple query engines and storage tiers. It supports various query engines, such as Presto, Spark, Db2, and Netezza, which dynamically scale to drive down analytics expenses. Store vast amounts of data in vendor-agnostic open formats like Parquet, Avro, and Apache ORC, and share a single copy of data across multiple query engines using Apache Iceberg table format and shared metadata.
WatsonX.data also offers semantic automation, empowering users to discover, refine, and visualize data and metadata through the power of WatsonX.ai models. Build, train, tune, deploy, and monitor trusted AI models for mission-critical workloads with data in the lakehouse, ensuring compliance with lineage and reproducibility. Streamline data engineering, simplify data transformation, and enrich data for consumption using SQL, Python, or an AI-infused conversational interface.
With WatsonX.data, your enterprise can support self-service access for more users to more data while maintaining security and compliance through centralized governance and automated policy enforcement. Experience the future of scaled analytics and data management with WatsonX.data by IBM.
Overview:
Watsonx.data by IBM is a powerful AI tool designed to help enterprises scale their analytics and AI capabilities. It is a fit-for-purpose data store optimized for governed data and AI workloads. With Watsonx.data, users can quickly connect to data sources, gain trusted insights, and lower data warehouse costs. The tool features an open, hybrid, and governed data store that allows users to access and share data. It includes a shared metadata layer for accessing all data through a single point of entry, along with built-in governance, security, and automation to enhance trust in data. Watsonx.data enables users to reduce data warehouse costs by up to 50% by optimizing workloads across multiple query engines and storage tiers. It supports various query engines, such as Presto, Spark, Db2, and Netezza, which dynamically scale to drive down analytics costs.
Users can store vast amounts of data in vendor-agnostic open formats and share a single copy of data across multiple query engines using Apache Iceberg table format and shared metadata. The tool also includes semantic automation to discover, refine, and visualize data and metadata through the power of AI models. Watsonx.data allows enterprises to build, train, deploy, and monitor trusted AI models for mission-critical workloads with data in the lakehouse, ensuring compliance with lineage and reproducibility of data used for AI. It helps streamline data engineering, simplify data transformation, and enrich data for consumption using SQL, Python, or an AI-infused conversational interface. Additionally, Watsonx.data enables self-service access for more users to more data while maintaining security and compliance through centralized governance and automated policy enforcement.
Benefits:
- Fit-for-purpose data store optimized for governed data and AI workloads
- Helps enterprises scale their analytics and AI capabilities
- Quickly connect to data sources and get trusted insights
- Lower data warehouse costs by up to 50%
- Supports a range of fit-for-purpose query engines and open formats
- Includes semantic automation to discover, refine, and visualize data
- Enables building, training, and monitoring trusted AI models
- Streamlines data engineering and simplifies data transformation
- Supports self-service access for more users to more data
- Enables security and compliance with centralized governance