Blog

Data Hub Central makes it easy to curate your data in an iterative and agile way. The process of data curation is designed to make it faster for teams to integrate data by enabling them to easily map diverse sources of data to entity models and to master that data by intelligently identifying and merging […]

Data Hub Central makes it easy to run the flows and steps that you configure in order to load and curate your data. You can easily do this using the Hub Central interface, as well as using other tools and connectors like Gradle, Apache NiFi, Apache Spark, Mulesoft and AWS Glue.

Data Hub Central is the user interface for MarkLogic Data Hub. It provides a role-based, no-code/low-code user experience for agile teams to collaborate in the data integration process. Take a tour.

Financial services firms around the world that buy, sell and use investment research face a converging series of challenges that are placing a premium on better research data to differentiate insights and outperform the competition. Unfortunately, the ability to rapidly unify and access the heterogeneous data needed to generate advanced analytics and unique insights is […]

MarkLogic’s Data Hub platform provides data experts with all of the functionality required to simplify and accelerate integration of complex datasets. In this 15-minute video, David Kaaret, MarkLogic solutions engineer for financial services, provides a demonstration using derivatives data. View the video to see how easy the MarkLogic platform makes the process for integrating and […]

Get a quick demo of MarkLogic Data Hub’s approach to model-driven mapping, a new capability in Data Hub 5.1 that works within the QuickStart UI.

In this video you will get an overview of some of the key principles of the MarkLogic Data Hub Software. You will see it in action as it is used to ingest, curate, and harmonize data, then create new data services to solve a real business need.

ABN AMRO Global Markets gives an overview of their MarkLogic Data Hub implementation. They discuss how they handle raw and curated data, and the orchestration process used to disconnect providers from the various types of consumers both on a technical and functional level.

Chevron’s guiding principles of delivering operational excellence, data standardization, data integration, and business process optimization require a practical approach to mastering facility and equipment data in their current information silos. This session delves into Chevron’s Equipment Smart Mastering strategy and execution, which is creating a 360-degree enterprise view of all of the company’s facilities, equipment, […]

Change data capture from source data systems is crucial when the impact of those changes needs to be reported in near real-time. Here we take a deeper look at the techniques deployed by Eaton to track and acquire changes in source systems using traditional tools like Oracle GoldenGate and compare them to new innovative ways […]