This project was last updated September 29, 2022 byCloodo
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September 29, 2022
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What if you had a recommendation engine for your data? Data inventory was automated. A searchable catalog revealed user behavior of data. And the system proactively made smart recommendations inline, as you wrote queries. Alation makes all of this possible with the world’s first collaborative data catalog for the enterprise. It's a powerful solution that dramatically improves the productivity of analysts, the accuracy of analytics, and empowers better business decisions for all. Alation surfaces proactive recommendations to data consumers through applications. We took inspiration from Google for a simple interface to connect the language of your business to the technical schema of your data. Finding the data you need is no longer stalled by tricky semantic translations. Unfamiliar with a data environment, and unsure of which data to use in your query? Alation helps you build the query and signals whether data is trustworthy with inline recommendations.
This project was last updated September 29, 2022 byCloodo
Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem. Apache Atlas provides open metadata management and governance capabilities for organizations to build a catalog of their data assets, classify and govern these assets and provide collaboration capabilities around these data assets for data scientists, analysts and the data governance team. Pre-defined types for various Hadoop and non-Hadoop metadata. Ability to define new types for the metadata to be managed. Types can have primitive attributes, complex attributes, object references; can inherit from other types. Instances of types, called entities, capture metadata object details and their relationships. REST APIs to work with types and instances allow easier integration.
This project was last updated September 29, 2022 byCloodo
The demand for data-driven insights and innovation has never been higher. Maintaining a competitive edge in today’s global enterprises hinges on the ability to leverage trusted data to make informed and strategic business decisions. Unfortunately, while most companies collect a wealth of data, it too often remains unused because business leaders either can’t find it or simply don’t understand and trust it. ASG Data Intelligence (ASG DI) is the solution for data distrust. It is a metadata-driven platform that makes technical data “smarter” with end-to-end views of the data and its movements (data lineage) combined with business meaning and usage guardrails. Data value is unleashed by making it available, understood and trusted to users across your organization – data scientists, analysts, marketers and more. Build trust in data with improved understanding of its origins, processes and business context.
This project was last updated September 29, 2022 byCloodo
Accelerate AI innovation with cloud-native data integration on IBM Cloud Pak for data. AI-powered data integration, anywhere. Your AI and analytics are only as good as the data that fuels them. With a modern container-based architecture, IBM® DataStage® for IBM Cloud Pak® for Data delivers that high-quality data. It combines industry-leading data integration with DataOps, governance and analytics on a single data and AI platform. Automation accelerates administrative tasks to help reduce TCO. AI-based design accelerators and out-of-the-box integration with DataOps and data science services speed AI innovation. Parallelism and multicloud integration let you deliver trusted data at scale across hybrid or multicloud environments. Manage the data and analytics lifecycle on the IBM Cloud Pak for Data platform. Services include data science, event messaging, data virtualization and data warehousing. Parallel engine and automated load balancing.
This project was last updated September 29, 2022 byCloodo
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