Infor's Data Lake tools provide schema intelligence on reading along with a fast and flexible data consumption framework to enable new ways to make important decisions.
Enterprise-wide data capture
Solving today's business and industry challenges requires big data. The ability to capture enterprise-wide data—whether generated by disparate applications, people, or IoT infrastructure—offers tremendous potential. Infor's Data Lake tools provide schema intelligence on reading along with a fast and flexible data consumption framework to enable new ways to make important decisions. With leveraged access to your entire Infor ecosystem, you can start capturing and delivering big data to power your next-generation analytics and machine learning strategies.
The Data Architecture for Insights
Integrated Infor OS experience
Data ingestion with Infor ION and Infor ION API Gateway
Intelligent metadata management based on the Infor Data Catalog
Metadata-based solution architecture
Leveraged access to the Infor ecosystem
Power new, flexible data storage strategies
Data Lake Features and Benefits
Data Lake Storage
Infinitely scalable, Infor Data Lake provides a unified repository to capture all of your company's data. Grow with your insights and investments, ingest more content for better-informed decisions, improve your analytical profiles, and provide rich data sets to build more powerful machine learning processes.
Infor Data Catalog
Prevent your data lake from turning into a "data quagmire" starts with intelligent metadata management. Data Lake provides a comprehensive set of user experiences and services to help you understand the data you've captured and how that data may have changed, along with a centralized security reference layer.
Data Lake Metagraph
Data Lake Metagraph provides a relational layer to begin assembling collections of data objects and datasets based on valuable metadata relationships stored in the Data Catalog. An intuitive graphical modeling experience guides you to design a virtual network of related information that can be used to drive new, flexible data insight use cases.
System Requirements:
CPU: 1.8 GHz dual core processor
RAM: 2 GB
HDD/SSD: 50 GB of free space on main drive
Operating system: Microsoft Windows 10, Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit, and Microsoft Windows Vista 32-bit
Resolution: 1024×768
Supported Operating Systems
Mac OS X 10.5x (Leopard), Mac OS X 10.6 (Snow Leopard), Mac OS X 10.7 (Lion), Mac OS X 10.7 (Mountain Lion), OS X 10.9 (Mavericks), and Mac OS X 10.10 (Yosemite)
Hardware requirements
Memory - 1 GB RAM and more
Free disk space - 50 MB
System type - 32-bit and 64-bit OS
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