July 8, 2021
Infor® OS is the hub for your entire enterprise ecosystem; it serves as a fully cloud-based operating platform that seamlessly connects services to provide a robust technology framework. The Infor Data Lake is just one of the standard services included with an Infor multi-tenant cloud platform. The Data Lake allows you to capture data across the environmental landscape, solve industry challenges with big data storage, and provide easy access to historical data.
In part one of this webinar series, our experts will discuss key areas and address questions about the Data Lake and data ingestion. Attendees will learn how to:
- Get your business data stored. To support and troubleshoot your Infor OS landscape, you need to know how data gets into Data Lake and is aided by Data Lake Flows. Jessica Melger will review the Data Catalog for DSV/NDJSON data schemas, metadata considerations, and field level documentation and entries. She will also review ION OneView and the simplicity with which you can view data entering the Data Lake.
- Apply the principals of the Infor Data Lake to your environment. In this section Kevin Heiman will walk through common Infor ERP flow models and custom Data Lake Flows.
- Maintain your data. Kevin Heiman will discuss additional considerations with Atlas verification, data and meta data properties, purging from the Data Lake, and data refresh.
Attendees should be knowledgeable with the basics of Infor OS and all of its services, as well as an overall understanding of the Infor Data Lake. Please note that this webinar will focus on one specific area of Infor OS and does not to replace the trainings available on these disciplines; that training is available on Infor Campus.
This webinar is part of the Infor Data Lake webinar series, presented by Infor Education. To view and register for the webinars in the series, visit:
- Part 2: Getting data out of the Data Lake – July 14, 2021 from 12:00 PM – 1:00 PM EST
- Part 3: Warehousing data in the Data Lake – August 18, 2021 from 12:00 PM – 1:00 PM EST
Part 1: Getting data into the Data Lake – June 10, 2021 from 12:00 PM – 1:00 PM EST