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The key pain point of "poor data understandibility, context and operational traceability" - requires better metadata management and stewardship discipline
InfoLibrarian™ presents modern, intelligent, open integrated metadata management solutions for server farms and in the cloud. Significantly reduce integration challenges when managing complex data, which demands managing data dictionaries, data mappings and semantics of these data. This activity is most commonly done with spreadsheets and documents which are manual and difficult to keep up to date.
InfoLibrarian™ technologies automate the cataloging of metadata from hundreds of data sources , allowing knowledge workers to gain insight for self-service data science driven advanced analytics. Reduce the impact on IT professionals by providing greater understanding and confidence they have the right data. Avoid vendor lock-in, common with most metadata repositories/data catalogs, by harnessing open industry standards.
Traditional ETL processes are fragile, inherently resource intensive, and difficult to maintain and test. Building modern big data piplelines requires a paradigm shift and focus on curation and purification of data for analytics.
Applying governance rules, intelligent schema services and machine learning to our data pipeline reduces complexity and provides a central point of management of the data curation process. Furthermore, rules can be uniformly administered and applied in a consistent manner.
Modern pipelines deliver gold standard data to data science and analytics workers. InfoLibrarian’s experienced team of architects and engineers will design, build and optimize your data pipelines for DataOps, MLops and metadata management. Let us help drive your analytics projects to success!
Data mapping is arguably the most important design step in data migration, data integration, and analytics projects. Accurately mapping source data to target data greatly impacts project success and is critical for communications among project stakeholders. Understanding complex data transformations is essential for systems integrators as source data is often in an inconsistent format or structure for target systems.
Development and integration teams must design and implement code for the mapping operations required to convert the data from one form to another. See how InfoLibrarian’s turnkey solutions can immediately catalog and manage your data mappings to provide rich documentation, impact and lineage analysis.
Our cross-functional team of architects, data scientists, big data engineers and integration experts apply best practices, delivering world class big data consulting and big data engineering services to positively impact business value and return on investment (ROI).
Integrate and leverage the powerful impact analysis, data lineage and governance capabilities within your pipelines. Cloud metadata catalogs and metadata tools support compliance of business and operational data sets in real time.
Use AI and machine learning to unlock hidden value in volumes of data. Monitor trends and surface patterns for actionable business results. InfoLibrarian™ will help design and implement a successful MLOps & machine learning pipeline strategy.
Managing Your Islands of Information...
Search Adapters
Knowledgeable and Truthful "Our group was very impressed with InfoLibrarian. Even more we were impressed with InfoLibrarian's knowledge and truthful answers to our questions"
- United Postal Service
"Within days of implementing the InfoLibrarian solution, we began reaping the benefits. InfoLibrarian finds the needle! ... Its like automatic documentation!"
- Fujifilm Inc
"InfoLibrarian Corporation provided three major points that fit perfectly. Timeframe, Efficiency, Cost and POC results."
- US Food Services