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Data Integrations

About this topic

The discipline of data integration comprises the practices, architectural techniques and tools for achieving the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.

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The International Soceity of Data Scientists

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Community Posts

Does anyone have information on tools that will support discovering all the Integrations (APIs, Integrations, Interfaces) in a given organizations?

What is the right platform/cloud services with of the shelf tools can be used to create enterprise GenAI SaaS in organization with multiple companies and subsidiaries?
In the target SaaS model, multiple APIs should be available to consume external LLM services, front end, prompt library that can be used by the end user, predefined data sources, Guardials and security controls.

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For those who have been through the journey, what has your experience been on the following? We are in the process of developing a comprehensive strategy for Oracle Fusion SaaS journey and have few questions around Data( i.e. Data strategy [Conversions, Tools and Technology used for extractions out of Fusion cloud to snowflake, etc.])

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Which of the following are part of your data center infrastructure strategy? (Select all that apply.)

Artificial intelligence (AI)32%

Machine learning (ML)42%

Infrastructure automation49%

Containers/Kubernetes41%

Private cloud33%

Composable & programmable infrastructure18%

Serverless computing27%

Cloud-native enablement platforms17%

Other (Please comment below!)1%

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Can you share wisdom on our approach to modernizing data platforms and infrastructure?

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What are the Data security posture management business use cases for the following items: Risk Assessment, Compliance Incident Response and Threat Management Data Privacy, Governance Security Awareness, Training Continuous Monitoring, Auditing Security Metrics and Reporting.

What is the one indispensable action you would emphasize for a successful Data Strategy, which would have a lasting impact on your organization's long term competitiveness?

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Have you successfully integrated your data management practices with your software architecture? Has that helped prevent data silos?

During an acquisition, is data management a good way for the CIO to add value to the company?

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Getting data out of FlexPLM / ThingWorx Retail Connector from PTC. I am trying to get data out of FlexPLM for our data platform however given it is a metadata driven schema it is proving to be near impossible. Has anyone been able to successfully get data out of FlexPLM for analytical purposes?

Which of the following is the most important aspect to digital integration?

Cybersecurity33%

Artificial Intelligence (AI)58%

Internet of Things (IoT)7%

Other (share below)

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What challenges have you experienced when integrating with a private cloud?

Complexity of setup21%

Limited scalability50%

Difficulty managing multiple cloud environment40%

Security concern40%

High cost33%

Lack of support10%

Other (Comment below)

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At our University we have a student attendance card reader linked to our SEAtS system. These card readers are no longer supported and are failing regularly. We are looking for a replacement, ideally a solution that is not proprietary. Can anyone share information or advice relating to what members use in their Universities such as Beacons, Card Readers, RFID, indoor services and/or mobile apps? What has worked well for you and what hasn’t? ie. Pros and cons as well as how students engaged with these systems: ease of use and student adoption.

My non-profit, called VEIC, has a custom application that helps us manage our program work. We collect addresses for people in areas where we deliver our services (all US-based work) and are looking for a tool or service that could help us automate address validation. Do you know of an address validation tool or service that you could recommend to us and what stands out about it?

What are the benefits of having a single data source?

I am well aware of the concept of application-centric, event-centric, and data-centric integrations and the high-level use cases for each, but what are some aspects of concrete data requirements that may inform the use of one style of integration over another?