Data Hub Central provides a no-code/low-code UI for agile teams to collaborate when integrating, curating, and accessing data using MarkLogic Data Hub. It makes it simple for everyone on the team — data architects, data stewards, data engineers, and business analysts — to implement an iterative, model-driven data integration process. Users get an always-on, real-time view of their hub as they configure and run curation services to harmonize and master the data, and share fit-for-purpose data with complete security and governance.
You need to integrate data quickly but your traditional approach just doesn’t cut it. PWC estimates that 51% of companies lack the data integration capabilities needed to be agile. It’s time to embrace a new approach that brings agile principles to the data layer.
Data Hub Central helps your team embrace agile principles by enabling an iterative approach — you can load data as is, iteratively curate and explore data, and evolve your model over time to meet changing business needs. With Hub Central, you can get critical data work done faster, breaking down data silos and organizational silos.
Easily load a variety of data formats (JSON, XML, CSV, text, binary) using the built-in ingestion tooling as you are building and testing your data hub on Data Hub Service.
Use certified connectors to automate ingestion using batch or change data capture data pipelines. MarkLogic has connectors for MuleSoft, AWS Glue, Apache Spark, and more.
Rapidly model entities with nested structures, single valued or multi-valued attributes, hierarchical relationships, and other metadata. Unlike relational models, you do not have to worry about building the perfect model upfront. You can flexibly evolve the entities as needed to deliver a unified view of data in the language of the business.
Quickly build and test your data mapping logic to turn source data into harmonized entities as defined by the entity model. Easily compose data mapping expressions using a rich library of pre-built functions or apply custom functions. Provenance and lineage are tracked for governance.
No need to use a separate master data management tool. Create a single source of truth by mastering harmonized data right in the hub. Use smart probabilistic algorithms and rules to match and merge duplicates with an ability to selectively un-merge when needed (you never lose source data). Provenance and lineage are tracked for governance.
Get a real-time view of the data as it is ingested and curated. The modern search experience enables users to explore data and assess its quality — right at the source.
Business users and data experts get a modern search experience to shop the whole gamut of curated data assets and securely share fit-for-purpose data with popular BI tools — without having to make an IT request.
Data Stewards can now centrally enforce governance and security policies to ensure compliant and secure sharing of data. You can easily tag PII data in the entity model and define granular, role-based security policies as you configure data curation services.