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As organizations increasingly look to unlock the full potential of their data by implementing AI into their overall data strategy to drive critical business decisions, the need for high-quality data and seamless integration of data sources becomes paramount. However, the complexities around...
Without data-readiness, AI projects are at risk. To address this, modern data integration solutions like IBM® DataStage® , a key component of IBM Data Fabric , improve data usage for AI by empowering developers, engineers, and the enterprise with the following...
Original publish date - 13-10-2017 Authors - Kim Clark, Mark Ketteman Create an API in IBM App Connect and call it from IBM Business Process Manager This article explores how to create an API in App Connect and then create a reusable, external service to call the API in IBM...
In today's modern landscape, data volume, variety, and velocity are growing at an exponential pace. In order to accommodate data explosion, the data integration market has undergone substantial evolution and continues to release new methods and technologies to suit customer needs, specifically...
IBM Cloud Pak for Data has repeatedly served as a hub for all data and analytics tools and a cornerstone in companies’ journeys towards digital transformation, helping users implement a data fabric architecture and achieve success through data-driven insights. With the rise of AI and ML...
Introduction In recent years the question of whether to follow an ETL (extract, transform, load) or an ELT (extract, load, transform) data integration approach has gained increased attention since in todays hybrid cloud world data sources, data sinks and data processing...