IBM watsonx.data is a hybrid, open data lakehouse to power AI and analytics with all your data,
anywhere. Built on an open lakehouse architecture, it is optimized for governing data and AI workloads.
Its capabilities include querying, governance, and support for open data formats, enabling easy data
access and sharing.
In this version of IBM Redbooks® publication, we bring to you watsonx.data concepts and architecture,
and the services that are available in the product. In addition, several common use cases and scenarios
are included that should help you better understand the capabilities of this product.
This book is for anyone who seeks best practices and real-world examples of how to best implement
their solutions while optimizing the value of their existing and future technology, AI, data, and skills
investments.
What you’ll find inside this book?
Read it cover to cover or dive straight into the chapters that interest you.
- Challenges and opportunities with data
- Introduction to watsonx.data overview and architecture
- Ingesting data into an open data lakehouse
- Protecting Data
- Querying and manipulating data and leveraging persona-specific engines
- Establishing data governance
- Establishing a data catalog
- Marketing campaign analysis use case
- Adopting Milvus for RAG using IBM watsonx
- Data and AI modernization strategy in banking use case
Next Steps
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