How to Bolster Data and AI Projects with MarkLogic Flux
November 04, 2024
Data exists everywhere in the enterprise and comes in various shapes, sizes and formats. Organizations need just-in-time, scalable and long-term solutions to support any operational, transactional, analytical or AI workload. Learn how MarkLogic Flux effectively automates high-volume, high-velocity heterogeneous data jobs to streamline data ingestion and data access to and from your MarkLogic-powered data platform.
We are excited to announce support for using Apache NiFi to ingest data into MarkLogic. NiFi is an open source tool for distributing and processing data and is the easiest and fastest approach to ingesting relational data to MarkLogic.
Banks investing in non-relational data store solutions like MarkLogic NoSQL to address legacy concerns related to poor data and disparate risk and control processes.
Faced with mounting fees and corrective action plans from data-quality issues in its provider directory, L.A. Care Health Plan turned to operational data hub technology for help.
Apache NiFi introduces a code-free approach of migrating content directly from a relational database system into MarkLogic. Here we walk you through getting started with migrating data from a relational database into MarkLogic