A Peek Under the Aura Hood

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Speaker: Ben Butler-Cole, Aura Architect, Neo4j

Production-ﬁrst
(how we organize delivery and the team)
Orchestras
(how we organize the system in space)
Reconciliation
(how we organize the the system in time)

Console
Neo4j

Console
Neo4j
Cloud: GCP

Console
Neo4j
Cloud: GCP / AWS

Console
Neo4j
Cloud: GCP / AWS / Azure

K8S
K8S
Console
Neo4j
Cloud: GCP / AWS / Azure

K8S: Orchestra
K8S: Brain
Console
Neo4j
Cloud: GCP / AWS / Azure

K8S: Orchestra
K8S: Brain
Console
Neo4j
Cloud: GCP / AWS / Azure

K8S: Orchestra
K8S: Brain
Console
Neo4j
Cloud: GCP / AWS / Azure

Production-ﬁrst
(how we organize delivery and the team)
Orchestras
(how we organize the system in space)
Reconciliation
(how we organize the the system in time)

K8S: Orchestra
K8S: Brain
Console
Neo4j
Cloud: GCP / AWS / Azure

Neo4j
Cloud: AWS
Neo4j

Neo4j
Cloud: AWS
Neo4j

Production-ﬁrst
(how we organize delivery and the team)
Orchestras
(how we organize the system in space)
Reconciliation
(how we organize the the system in time)

K8S: Orchestra
K8S: Brain
Console
Neo4j
Cloud: GCP / AWS / Azure

Orchestra
Brain
Console
Neo4j

Brain
Console
Orchestra
Neo4j

Brain
Console
Orchestra
Neo4j
Scale

Brain
Console
Orchestra
Neo4j
Scale
Geography

Brain
Console
Orchestra
Neo4j
Scale
Geography
Cloud providers

Brain
Console
Orchestra
Neo4j
Scale
Geography
Isolation
Cloud providers

Brain
Console
Orchestra
Neo4j
Scale
Geography Database types
Isolation
Cloud providers

Production-ﬁrst
(how we organize delivery and the team)
Orchestras
(how we organize the system in space)
Reconciliation
(how we organize the the system in time)

Create

Create

Create

Create

Heal

Heal

Heal

Create Heal

Create Heal

Deployment
StatefulSet
Pod
ReplicaSet
PVC
PV

Deployment
StatefulSet
Pod
ReplicaSet
PVC
PV

Deployment
StatefulSet
Pod
ReplicaSet
PVC
PV
???

Production-ﬁrst
(how we organize delivery and the team)
Orchestras
(how we organize the system in space)
Reconciliation
(how we organize the the system in time)

A Peek Under the Aura Hood

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Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Elevate Developer Efficiency & build GenAI Application with Amazon Q

Elevate Developer Efficiency & build GenAI Application with Amazon Q

Elevate Developer Efficiency & build GenAI Application with Amazon Q

Bhuvaneswari Subramani

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

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How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

Vector Search -An Introduction in Oracle Database 23ai.pptx

Vector Search -An Introduction in Oracle Database 23ai.pptx

Vector Search -An Introduction in Oracle Database 23ai.pptx

Remote DBA Services

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

johnbeverley2021

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Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

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In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.

Platformless Horizons for Digital Adaptability

Platformless Horizons for Digital Adaptability

Platformless Horizons for Digital Adaptability

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

UiPathCommunity

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

Nanddeep Nachan

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Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Elevate Developer Efficiency & build GenAI Application with Amazon Q

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Platformless Horizons for Digital Adaptability

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Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

A Peek Under the Aura Hood

1.

2. Production-ﬁrst (how we organize delivery and the team) Orchestras (how we organize the system in space) Reconciliation (how we organize the the system in time)

3. Console Neo4j

4. Console Neo4j Cloud: GCP

5. Console Neo4j Cloud: GCP / AWS

6. Console Neo4j Cloud: GCP / AWS / Azure

7. K8S K8S Console Neo4j Cloud: GCP / AWS / Azure

8. K8S: Orchestra K8S: Brain Console Neo4j Cloud: GCP / AWS / Azure

9. K8S: Orchestra K8S: Brain Console Neo4j Cloud: GCP / AWS / Azure

10. K8S: Orchestra K8S: Brain Console Neo4j Cloud: GCP / AWS / Azure

11. Production-ﬁrst (how we organize delivery and the team) Orchestras (how we organize the system in space) Reconciliation (how we organize the the system in time)

12. K8S: Orchestra K8S: Brain Console Neo4j Cloud: GCP / AWS / Azure

13. Neo4j Cloud: AWS Neo4j

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15. Production-ﬁrst (how we organize delivery and the team) Orchestras (how we organize the system in space) Reconciliation (how we organize the the system in time)

16. K8S: Orchestra K8S: Brain Console Neo4j Cloud: GCP / AWS / Azure

17. Orchestra Brain Console Neo4j

18. Brain Console Orchestra Neo4j

19. Brain Console Orchestra Neo4j Scale

20. Brain Console Orchestra Neo4j Scale Geography

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22. Brain Console Orchestra Neo4j Scale Geography Isolation Cloud providers

23. Brain Console Orchestra Neo4j Scale Geography Database types Isolation Cloud providers

24. Production-ﬁrst (how we organize delivery and the team) Orchestras (how we organize the system in space) Reconciliation (how we organize the the system in time)

25.

26.

34. Create Heal

35. Create Heal

36.

37. Deployment StatefulSet Pod ReplicaSet PVC PV

38. Deployment StatefulSet Pod ReplicaSet PVC PV

39. Deployment StatefulSet Pod ReplicaSet PVC PV ???

40.

41. Production-ﬁrst (how we organize delivery and the team) Orchestras (how we organize the system in space) Reconciliation (how we organize the the system in time)