Architecting a Corporate Compliance Platform with Graph and NoSQL Databases

•

0 j'aime•1,343 vues

Join Scylla and Expero to learn how to use JanusGraph and Scylla to architect a corporate compliance platform. In this talk, you’ll learn how to: - Create a dynamic graph-enabled approach to building a flexible entitlements system - Design the underlying data model and data infrastructure you need to support this system - Architect real-time data connections to integrate this system successfully into your enterprise

Technologie

▪ Introductions
▪ Entitlements Overview
▪ About Expero
▪ About JanusGraph
▪ Why JanusGraph and Scylla?
▪ A Different Way to Model Entitlements
▪ Entitlements Demo
▪ Scylla Performance and Monitoring Demo
▪ Next Steps/QA

16
PRODUCT INNOVATION
RAPID PROTOTYPES
UX & APPLICATION
DEVELOPMENT
SOFTWARE
MODERNIZATION
MACHINE LEARNING
BIG DATA /
GRAPH DATA
ASSESSMENTS
& ROADMAPS
SUPPORT & TRAINING

Expero: Solution Speciﬁc
Elements:
● UI Elements
● Data Models : Cassandra &
Graph
SOLUTIONS :
● Fraud - Cyber - Threat
● Entitlements - Identity Mgmt
● Customer 360
● Supply Chain
ML Models: Transportation, Image
Recognition, Fraud, Risk

C++ instead of Java Shard per Core All Things Async
Uniﬁed Cache I/O Scheduler Self-Optimizing

Sync
Async
Request Answer
Request Answer
Waiting for response
Time Savings

Cassandra Scylla
Key
cache
Row
cache
Linux page cache
SSTables
Uniﬁed cache
SSTables
Complex Tuning
On-heap /
Off-heap

vertices edges attributes.
Name: Account:
CanAccess:

Accounts Groups -
Sets of accounts
can be modeled as
well

g.V().hasLabel('Identity').
has('identity_id', '11001609’).
inE('assigned_to').outV().
outE('access_to').has('is_active', true).
inV().has('resource_id','10062951').next()

g.V().hasLabel('Resource').
has('resource_id', '10062951’).
inE('access_to').has('is_active', true).
outV().outE(‘assigned_to’).
inV()

Scalability Results
Even with this small 3x3 node cluster, 10000s of concurrent users can be handled
*ScyllaDB (x3)
*JanusGraph (x3)
+Services/Kit

Next Steps
Learn more about Expero
■ Expero’s JanusGraph offerings
https://www.experoinc.com/resource/janusgraph
■
https://www.experoinc.com/solutions/authorization-entitlements
■
https://www.experoinc.com/post/janusgraph-nuts-and-bolts-part-1-write-performance
Learn more about Scylla
■
■

Thank you!
Brian Hall
brian.hall@experoinc.com
https://www.linkedin.com/in/brian-hall-64b5b/
https://twitter.com/experoinc?lang=en
Maheedhar Gunturu
maheedhar@scylladb.com
https://www.linkedin.com/in/maheedhargunturu/
https://twitter.com/Vanguard_space

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg 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 - The value of a flexible API Management solution for O...

apidays

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

panagenda

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

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Cyberprint. Dark Pink Apt Group [EN].pdf

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3. ▪ Introductions ▪ Entitlements Overview ▪ About Expero ▪ About JanusGraph ▪ Why JanusGraph and Scylla? ▪ A Different Way to Model Entitlements ▪ Entitlements Demo ▪ Scylla Performance and Monitoring Demo ▪ Next Steps/QA

6. Entitlements status quo

10.

11.

12.

13.

14.

15.

16. 16 PRODUCT INNOVATION RAPID PROTOTYPES UX & APPLICATION DEVELOPMENT SOFTWARE MODERNIZATION MACHINE LEARNING BIG DATA / GRAPH DATA ASSESSMENTS & ROADMAPS SUPPORT & TRAINING

17. Expero: Solution Speciﬁc Elements: ● UI Elements ● Data Models : Cassandra & Graph SOLUTIONS : ● Fraud - Cyber - Threat ● Entitlements - Identity Mgmt ● Customer 360 ● Supply Chain ML Models: Transportation, Image Recognition, Fraud, Risk

18. About Janusgraph

19. 2009 2016 2017 20182012 2015

20. 2009 2016 2017 20182012 2015

21. 2009 2016 2017 20182012 2015 1.0

22. 2009 2016 2017 20182012 2015 1.0

23. 2009 2016 2017 20182012 2015 1.0

24. 2009 2016 2017 20182012 2015 1.0

25. ■ ■ ■ ■

26.

27.

28. ■ ○ ○ ■ ○ ■ ○ ○

29.

30. ■ ■ ■ ■ ■ ■

31. C++ instead of Java Shard per Core All Things Async Uniﬁed Cache I/O Scheduler Self-Optimizing

32.

33.

34. Sync Async Request Answer Request Answer Waiting for response Time Savings

35. Cassandra Scylla Key cache Row cache Linux page cache SSTables Uniﬁed cache SSTables Complex Tuning On-heap / Off-heap

36.

37.

38.

39.

40.

41. ■ Vertices ■ Edge ■ ■

42. ■ ■ ■ ■

43. relationships ■ Directed ■ Undirected

44. vertices edges attributes. Name: Account: CanAccess:

45.

46. Accounts - Modeled as a resource

47. Accounts Groups - Sets of accounts can be modeled as well

48. Proﬁles

49. Identities at the time of login

50. Party

51. g.V().hasLabel('Identity'). has('identity_id', '11001609’). inE('assigned_to').outV(). outE('access_to').has('is_active', true). inV().has('resource_id','10062951').next()

52. g.V().hasLabel('Resource'). has('resource_id', '10062951’). inE('access_to').has('is_active', true). outV().outE(‘assigned_to’). inV()

53.

54. Demo Setup ● ●

55. Scalability Results Even with this small 3x3 node cluster, 10000s of concurrent users can be handled *ScyllaDB (x3) *JanusGraph (x3) +Services/Kit

56. Next Steps Learn more about Expero ■ Expero’s JanusGraph offerings https://www.experoinc.com/resource/janusgraph ■ https://www.experoinc.com/solutions/authorization-entitlements ■ https://www.experoinc.com/post/janusgraph-nuts-and-bolts-part-1-write-performance Learn more about Scylla ■ ■

57. Thank you! Brian Hall brian.hall@experoinc.com https://www.linkedin.com/in/brian-hall-64b5b/ https://twitter.com/experoinc?lang=en Maheedhar Gunturu maheedhar@scylladb.com https://www.linkedin.com/in/maheedhargunturu/ https://twitter.com/Vanguard_space

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