This IBM® Redpaper describes an IBM Data & AI solution for using IBM watsonx.data together with IBM Storage Scale. The paper showcases how IBM watsonx.data applications can benefit from the enterprise storage features and functions offered by IBM Storage Scale.

IBM watsonx.data empowers enterprises to scale their analytics and AI capabilities, leveraging an open lakehouse architecture. With its next generation query engines, a robust governance and open data frameworks, IBM watsonx.data facilitates seamless data access and sharing of data and metadata. With IBM watsonx.data, enterprises can swiftly connect to data wherever it resides, extract actionable insights, and optimize data warehouse or data lake expenses.

IBM Storage Scale is software-defined, high performance, scalable file and object storage that enables organizations to build a Global Data Platform for artificial intelligence (AI), high-performance computing (HPC), advanced analytics, and other demanding workloads.

IBM watsonx.data and IBM Storage Scale can be a powerful combination for building a scalable and cost-effective data lakehouse solution. This IBM Redbooks® publication delves into how IBM Storage Scale's robust storage capabilities and IBM watsonx.data's advanced analytics features come together to build a powerful data and AI platform. This platform empowers you to unlock valuable insights from your data and make data-driven decisions. This further helps organizations to expand from AI pilot projects to full-scale production systems by providing the right tools, platforms and software-defined storage on which to run it all.

This Redpaper is targeted toward technical professionals (customers, consultants, technical support staff, IT Architects, and IT specialists) who are responsible for delivering data lakehouse solutions optimized for data, analytics, and AI. This Redpaper is relevant for:

- technical professionals working on design and implementation of IBM watsonx.data solutions

- existing IBM Storage Scale customers looking to implement IBM watsonx.data solutions

1. Overview

2. Solution Architecture and functional characteristics

3. Planning and sizing

4. Configuring the solution

5. Monitoring

6. Configuring advanced storage functions