Introduction Organizations today face the challenge of deriving insights from data that is distributed across multiple systems — such as object storage, data warehouses, and operational databases. At the same time, they must balance cost efficiency, governance, and scalability, while...
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IBM watsonx.data Premium: The Next-Generation Data Lakehouse for Gen AI Contibutors: Anusha Garlapati , Phani Chodavarapu Introduction Generative AI (GenAI) is rapidly reshaping the enterprise landscape. Businesses are eager to unlock richer analytics,...
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IBM watsonx.data uses a modern lakehouse architecture to separate computing and storage. Data is stored in object storage services, such as public cloud AWS S3, Azure ADLS, GCP and IBM COS, or private cloud IBM Fusion HCI, Redhat Ceph, etc. Enterprise-level object storage services have natural...
Scaling your Analytics with WatsonX.data and Netezza: A Hybrid Cloud Solution Modernising your data warehouse while preserving your investments Handling big data efficiently can be a tedious task and as someone who's worked with enterprise data systems for quite some time, I've...
Build RAG with watsonx.data Milvus and Haystack Today, building intelligent applications is all about unlocking the value hidden in your organization’s data. A popular and effective approach is Retrieval-Augmented Generation (RAG) , which combines the strengths of a search...
The white paper discusses augmenting Db2 and Netezza workloads with watsonx.data, a transformative approach to handling data workloads. It highlights two approaches: co-existing and augmentation. The co-existing approach involves integrating Db2/Netezza with watsonx.data, enabling seamless...
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Hey! You there! come check this out! Are you a data engineer - or do you at least play one better than me on TV? Do you want to try out the features of watsonx.data absolutely for free? Do you want to understand the details of what the new watsonx.data trial experience via an IBM Cloud...