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SnapLogic Live: ServiceNow Integration
This document provides an overview of a SnapLogic Live presentation about integrating ServiceNow with SnapLogic. The presentation will demonstrate how SnapLogic can improve implementation quality, increase agility, reduce implementation times, lower costs and improve data accuracy when integrating with ServiceNow. Specifically, it will show a Salesforce to ServiceNow connection and compare point-to-point integration to using SnapLogic.
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SnapLogic Live: ServiceNow Integration
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- 2. 2 Welcome to SnapLogicLive • In 30 minutes we’ll: – Review specific topics and the role SnapLogic plays – Dive into demonstrations of our Elastic Integration Platform – Open it up for questions and discussion • Today’s featured presenter: Scott Sumner • Today’s featured topic: ServiceNow Integration
- 3. Modern Architecture: Hybridand Elastic Streams: No data is stored/cached Secure: 100% standards-based Elastic: Scales out & handles data and app integration use cases Metadata Data Databases On Prem Apps Big Data Cloud Apps and DataCloud-Based Designer, Manager, Dashboard Cloudplex Groundplex Hadooplex Sparkplex Firewall
- 4. SnapLogic for ServiceNowIntegration • Improve implementation quality by visually reviewing process flows as they are being built • Increase agility by allowing the process owner to manage integrations • Reduce solution implementation times by utilizing pre-built intelligent connectors and creating visual representations of processes such as alert to trouble ticket, and creating on- boarding flows • Lower the cost of operations and improve data accuracy by eliminating manual re-keying and updating information transactionally Salesforce to Service Now Connection
- 5. Point to Pointvs. SnapLogic CloudOn-Premises Service Portfolio CMDB/CMS Service Catalog Service Level Project and Portfolio IT Cost Change Release Knowledge
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Editor's Notes
- #4 Here is an example of what a SnapLogic deployment looks like. The Integration Cloud does not store your data. It’s metadata only. Once a pipeline is executed, it looks for the associated Snaplex or Hadoplex. The plex, scale out adding more nodes as needed. We like to say that SnapLogic “respects data gravity” and runs as close to the data as need be. If you are integrating only cloud applications, it would make no sense to run your integrations behind the firewall. Similarly, if you’re doing ground to ground or cloud to ground, you may want to run your Snaplex on Window or Linux servers. Note that the dotted line is sending instructions via metadata to the plex, which is waiting to run. The solid line indicates how data movies bi-directionally between systems. The yellow box is an example of the Hadooplex running pipelines and scale out across multiple nodes in a Hadoop cluster. Reference: http://www.snaplogic.com/security
- #7 http://video.snaplogic.com/demos/