Cloud services have become a key component of digital transformation because of their ability to store, process, and analyze large amounts of data in a centralized location. However, integrating industrial data with enterprise systems in the Cloud has proved to be challenging for many industrials. Bridging the OT-IT gap requires a solution that can merge real-time, transactional, and time-series data into a single payload, model and contextualize this data, exchange information with Cloud services, and deliver an agile architecture. Bridging the OT-IT gap requires an Edge-native DataOps approach. In this session, HighByte, an AWS Partner, will share 4 real-world use cases of industrial companies who have used a DataOps approach to achieve multi-system integration, high-resolution data analytics, multi-site monitoring, and Cloud-to-Edge execution. Attendees will gain an understanding of data modeling and architectural best practices through these 4 use cases.
Learning Objectives:
* Objective 1: Understand the fundamentals of Industrial DataOps and the benefits this approach provide.
* Objective 2: Learn how to collect and transform industrial data from various sources, including PI System, and prepare this data for analytics on AWS .
* Objective 3: Learn how to maintain system integrations throughout the life of the factory without writing code.
***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/industrial/
****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Smart-Manufacturing-Episode-4-Bridge-the-OT-IT-Gap-for-DataOps-at-the-Edge_2022_1016-IND_OD Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1
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☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
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Learning Objectives:
* Objective 1: Understand the fundamentals of Industrial DataOps and the benefits this approach provide.
* Objective 2: Learn how to collect and transform industrial data from various sources, including PI System, and prepare this data for analytics on AWS .
* Objective 3: Learn how to maintain system integrations throughout the life of the factory without writing code.
***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/industrial/
****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Smart-Manufacturing-Episode-4-Bridge-the-OT-IT-Gap-for-DataOps-at-the-Edge_2022_1016-IND_OD Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1
Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices
☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
#AWS
- Category
- AWS Developers
- Tags
- DataOps, Digital Transformation, Industrial Data

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