Tackling the Big, Impossible Project

•

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Big, Impossible Projects are exciting, transformative, and begin with an overwhelming number of unanswered questions. Developing against a moving target is never easy — you might find yourself going against best practices such as designing solutions without knowing all the parameters, or encountering dependencies you didn’t even think were possible. Big, Impossible projects can start out looking small and simple, but like an iceberg, they have much more to them once you get up close. In this talk for both new and seasoned leaders you will learn to navigate the icebergs and bring your next Big, Impossible Project to a successful conclusion.

Tackling The Big,
Impossible Project
Michele Titolo
Lead Software Engineer, Capital One

What Is A Big,
Impossible Project?
Photo by Johannes Plenio on Unsplash

@micheletitolo
Large Scope Or
Large Change

@micheletitolo
Relative To Current
State

@micheletitolo
Can Be New Product
Or Existing

@micheletitolo
Intentional Or
Unintentional

• Deﬁnition of Done
• Dependencies
• Transparency
3 Key Things
@micheletitolo

Definition Of Done
Photo by Jean-Frederic Fortier on Unsplash

@micheletitolo
Deﬁne for Individual
Items

@micheletitolo
Deﬁne for Project

@micheletitolo
End Result Starts
Fuzzy

@micheletitolo
New Product: MVP

@micheletitolo
Existing Products:
Giant Lists

@micheletitolo
Beginning: 120 Line-
Item Spreadsheet

@micheletitolo
End: ~170 Items

• New Features
• Breaking things into smaller chunks
• Surprises
the list grew because
@micheletitolo

Dependencies
Photo by Annie Spratt on Unsplash

@micheletitolo
What Is a
Dependency?

@micheletitolo
Any Work That
Needs To Get Done
That You/Your Team
Cannot Do

@micheletitolo
Identify Early

@micheletitolo
The BAU Trap

@micheletitolo
Plan To Get Blocked

@micheletitolo
Have a Plan B

@micheletitolo
Communicate
Blockers

@micheletitolo
Having a
Dependency ->
Being a Dependency

Transparency
Photo by Justin Medina on Unsplash

@micheletitolo
Make It Easy for
Others To See How
You're Doing

@micheletitolo
Fewer Meetings 🎉

@micheletitolo
Communicate

@micheletitolo
Plan Risky Things
First

@micheletitolo
A Risky Rewrite

@micheletitolo
Important To Get
Right

@micheletitolo
Design and PoC

@micheletitolo
Buy-in

@micheletitolo
Change Was Well
Known and Well
Estimated

@micheletitolo
Don't Spring Big
Changes

Photo by Kristine Weilert on Unsplash

Thanks!
@micheletitolo

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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

VTU technical seminar 8Th Sem on Scikit-learn

VTU technical seminar 8Th Sem on Scikit-learn

VTU technical seminar 8Th Sem on Scikit-learn

AmarnathKambale

In today's dynamic e-commerce landscape, the payment gateway emerges as a linchpin, ensuring smooth and secure transactions between buyers and sellers. In this discourse, we delve into the meticulous process of devising test cases tailored for scrutinizing payment gateways. Crafting precise test cases for payment gateways is a quintessential responsibility for testers operating within the service industry. This article meticulously explores pivotal scenarios integral to how to test payment gateways, coupled with essential guidelines for drafting effective test cases.

Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf

Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf

Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf

kalichargn70th171

ADR, or Architecture Decision Record, is a valuable tool in software development for several reasons. It provides a centralized location for documenting and tracking architectural decisions, aiding both current and future team members. ADRs enhance communication among team members by documenting the rationale behind architectural decisions, especially beneficial during onboarding of new team members or when revisiting decisions. They serve as a knowledge base, enabling teams to learn from past decisions and refine their decision-making process. Additionally, ADRs contribute to transparency by helping stakeholders understand the reasons behind specific architectural choices. As with any other tool or process, introducing them into an organization can face several obstacles, and overcoming these challenges is crucial for successful implementation. In this talk I go through some common problems and our way of solving them.

Architecture decision records - How not to get lost in the past

Architecture decision records - How not to get lost in the past

Architecture decision records - How not to get lost in the past

Papp Krisztián

OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...

OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...

OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...

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Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...

Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...

Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...

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Announcing Codolex 2.0 from GDK Software

Announcing Codolex 2.0 from GDK Software

Announcing Codolex 2.0 from GDK Software

MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...

MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...

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Right Money Management App For Your Financial Goals

Right Money Management App For Your Financial Goals

Right Money Management App For Your Financial Goals

WSO2Con2024 - From Code To Cloud: Fast Track Your Cloud Native Journey with C...

WSO2Con2024 - From Code To Cloud: Fast Track Your Cloud Native Journey with C...

WSO2Con2024 - From Code To Cloud: Fast Track Your Cloud Native Journey with C...

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

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Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

VTU technical seminar 8Th Sem on Scikit-learn

VTU technical seminar 8Th Sem on Scikit-learn

VTU technical seminar 8Th Sem on Scikit-learn

Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf

Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf

Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf

Architecture decision records - How not to get lost in the past

Architecture decision records - How not to get lost in the past

Architecture decision records - How not to get lost in the past

OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...

OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...

OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...

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Tackling the Big, Impossible Project

1. Tackling The Big, Impossible Project Michele Titolo Lead Software Engineer, Capital One

2. What Is A Big, Impossible Project? Photo by Johannes Plenio on Unsplash

3. @micheletitolo Large Scope Or Large Change

4. @micheletitolo Relative To Current State

5. @micheletitolo Can Be New Product Or Existing

6. @micheletitolo Intentional Or Unintentional

7. • Deﬁnition of Done • Dependencies • Transparency 3 Key Things @micheletitolo

8. Definition Of Done Photo by Jean-Frederic Fortier on Unsplash

9. @micheletitolo Deﬁne for Individual Items

10. @micheletitolo Deﬁne for Project

11. @micheletitolo End Result Starts Fuzzy

12. @micheletitolo New Product: MVP

13. @micheletitolo Existing Products: Giant Lists

14.

15. @micheletitolo Beginning: 120 Line- Item Spreadsheet

16. @micheletitolo End: ~170 Items

17. • New Features • Breaking things into smaller chunks • Surprises the list grew because @micheletitolo

18. Dependencies Photo by Annie Spratt on Unsplash

19. @micheletitolo What Is a Dependency?

20. @micheletitolo Any Work That Needs To Get Done That You/Your Team Cannot Do

21. @micheletitolo Identify Early

22. @micheletitolo The BAU Trap

23. @micheletitolo Plan To Get Blocked

24. @micheletitolo Have a Plan B

25. @micheletitolo Communicate Blockers

26. @micheletitolo Having a Dependency -> Being a Dependency

27. Transparency Photo by Justin Medina on Unsplash

28. @micheletitolo Make It Easy for Others To See How You're Doing

29. @micheletitolo Fewer Meetings 🎉

30. @micheletitolo Communicate

31. @micheletitolo Plan Risky Things First

32. @micheletitolo A Risky Rewrite

33. @micheletitolo Important To Get Right

34. @micheletitolo Design and PoC

35. @micheletitolo Buy-in

36. @micheletitolo Change Was Well Known and Well Estimated

37. @micheletitolo Don't Spring Big Changes

38. Photo by Kristine Weilert on Unsplash

39. Thanks! @micheletitolo