metadata-mq
  • Vom Data Lake zum Data Marketplace

    Ein Data Marketplace ist eine neuartige Architektur zur Informationsverwaltung, die das Konzept von Data Lakes erweitert. Dabei wird ein standardisierter und industrialisierter Prozess zur Umwandlung von Rohdaten in zuverlässige Informationen umgesetzt. Die Interaktion mit Endnutzern erfolgt über eine kollaborative Self-Service-Umgebung, so dass Datennutzer die erforderlichen Daten schnell und problemlos „einkaufen“ können.

  • Trasformare un data lake in un data marketplace

    Un data marketplace è un nuovo tipo di architettura di gestione delle informazioni che amplia il concetto tradizionale di data lake per combinare un processo standardizzato e industrializzato per la curation delle risorse dati grezze in informazioni affidabili, con una modalità di coinvolgimento collaborativa e self-service degli utenti finali, garantendo ai consumatori di dati la possibilità di acquisire in modo rapido e semplice quelli di cui hanno bisogno.

  • FIMA: Modernizing Data Quality & Governance. Unlocking Performance & Reducing Risk

    This paper will evaluate how financial services companies are managing the challenges posed by data quality management. By analyzing which data types and data characteristics businesses are struggling with, we will uncover the true business costs associated with data quality. We will also gauge how data governance programs are maturing and how they are being measured. Finally, we will asses how data is being managed within financial institutions.

  • Transformer un Data Lake en un marché de données

    A data marketplace is a new type of information management architecture that extends traditional notions of data lakes to combine a standardized and industrialized process for curating raw data assets into trusted information, with a collaborative and self-service mode of engagement with end users so that data consumers can quickly and easily shop for the data they need.

  • A Cognizant & Informatica Methodology: Implementing Data Deletion

    Are you aware of the crucial role data deletion plays in data privacy compliance? Join Informatica and Cognizant for a short interactive webinar session: Implementing Data Deletion – A Vital Element in Data Privacy Compliance.During this session we will discuss:• Why Data Deletion is necessary for data privacy regulation• Data Deletion Best Practices• The value delivered by a Business First Approach to Data DeletionThis interactive session will end with a live Q&A, so you can learn from data deletion experts at Cognizant and Informatica.Plus gain insight into the Right of Erasure (right to be forgotten) and Retention / Data Minimization and the difficulties organisations have met of which can severely impact an operational business if not done correctly.The great news is we are here to support you with a proven solution to deliver a scalable data deletion approach, leveraging advanced technology and processes to ensure data deletion is achieved safely, while returning value to your ...

  • Meet the Experts in Enterprise Data Governance: Deep Dive & Demo of Axon 6.0

    A key to being successful with data governance is scaling your program across the entire enterprise. Not only do you need your business and IT teams to collaborate, but also, you need your tools to work together. In this Meet the Experts webinar, our team of Informatica data governance experts will share how our latest advancements in automation will help to ensure your enterprise data governance program can scale to every pocket of your organization. During the webinar, we’ll deep dive into new features of Axon Data Governance 6.0, including:•Data Quality rule automation•Customizations•APIs and ConnectionsThis is a can’t miss webinar for anyone that wants an upfront experience with Axon Data Governance and our entire Enterprise Data Governance solution.

  • Railinc: Best Practices for Deploying and Adopting an Intelligent Data Catalog

    As Railinc modernizes its data infrastructure, critical data has become distributed across Oracle, data lake and tools like SAS, and business users have been challenged to find and understand the data they need. Railinc embarked on a major effort across business & IT to address this problem by cataloging all data assets and adding business context to the data to enable easy search and discovery. Confidence in the data was improved through visibility into how datasets were created and business descriptions and tags that added business context, along with a focused/phased approach to drive business user adoption. Railinc will share valuable lessons and best practices related to both: (1) deployment and scaling; (2) driving business user adoption.

  • Business-Driven Data Governance for Analytics

    Data quality and data governance are critical for successful analytics. Data management expert David Lyle explains how you can create a self-sustaining data governance culture by starting small.

  • Data Governance Enablement at Hartford HealthCare – Powered by Axon and EDC

    During this webinar, we’ll showcase how EDC and Axon were critical to success and the best practices that have helped Hartford HealthCare operationalize their data governance program. During the webinar, you’ll learn:•Best practices for architecting and configuring EDC and Axon for optimal results•Access management techniques, such as industry standard roles•How to use Axon and EDC for data lineage and so much more

  • Intelligent Data Governance

    Data governance is critical to develop a data driven culture. Learn how AI/ML can help you automate and scale data governance across the enterprise.