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...
Overview Organizations increasingly want to make real-time Kafka data available without introducing pipeline complexity or data duplication. In practice, many teams copy data across systems, manage credentials, and configure analytic engines just to access streaming data outside of...
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This is a joint blog published in partnership with Nvidia. Authors include Gregory Kimball , Zoltán Arnold Nagy , Devavret Makkar , Daniel Bauer and Chengcheng Jin As workloads scale and demand for faster data processing grows, GPU-accelerated databases and query engines have been...
If you’ve tried setting up a data lakehouse environment, you know it’s not always easy. With complex infrastructure setup, compliance requirements, and dependencies, it can take days before you run your first query. With IBM watsonx.data developer edition, announced at TechXchange 2025...
Welcome to our in-depth exploration of watsonx.data's monitoring capabilities, designed to help you maximize the potential of the Presto query engine and watsonx.data. This comprehensive guide covers essential built-in features and observability tools to effectively monitor query execution,...
In this article, I want to share my experience to view Presto trace using watsonx.data 2.1.3 with Instana. After you configure OpenTelemetry in watsonx.data using Instana as the backend, next step is to view telemetry data using Instana User Interface. This article has next topics. ...
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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query completed event view is one of the richest views in watsonx.data QHMM. It provides variety of useful data for each query, like cpu time, memory, the amount of data processed, execution plan, based on JSON-formatted query event related data. Since watsonx.data official documentation...
In this article, I would like to give you an overview of watonx.data QHMM, explanation of the wonderful tables and views that QHMM provides, and how to change QHMM configuration. QHMM Overview Query History Monitoring and Management (QHMM) is a service that stores and manages the...