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Agentic Mesh Ecosystem Patterns with Eric Broda
Join Shane Gibson as he chats with Eric Broda on the patterns required to create an ecosystem to support the use of Agents in enterprise organisations.
AgileData Feature #03 – Catalog Browse and Search
Data Persona’s can use the Catalog to quickly search, find and access the Data Assets (Tiles) they need to complete a data task, such as supporting the development of Information Products or using the data for analysis.
Topic Tags and Dynamic Filtering allows Data Assets to be easily found using the Organisations business terminology.
With the Menu Anywhere capability they can drill out to any other screen in the AgileData App, retaining the context of the Tile, removing the need to go to the screen and manually searching for that Data Asset again.
Any time a data user performs a data task in the AgileData App, or an automated data task is executed on the AgileData Platform, the Catalog is automagically updated. The Catalog data is treated as a first class citizen, not as data exhaust.
The Catalog is part of a wider ensemble of features that let them search or browse to locate essential Data Assets quickly, view comprehensive details for each set of data, and track the flow of data similarly to parcel tracking.
Reliability Engineering of AI Agents with Petr Pascenko
Join Shane Gibson as he chats with Petr Pascenko on the pattern of Reliability Engineering of AI Agents
One suggestion on starting your journey into becoming a data consultant
At #AgileData we are focussed on helping people become data entrepreneurs.
Whether they want to start their journey by side hustling, or becoming a one person data band or grow their small data consulting companies revenue and margin, but not their team, we are keen to be part of their journey.
AgileData Feature #02 – Single Sign-in
With Single Sign-On (SSO), users gain streamlined access to the AgileData App, eliminating the need for repeatedly logging in and reducing friction in their data day.
This feature leverages Google Identity and Access Management (IAM) to provide seamless and secure authentication, ensuring that users can easily connect to the platform using their existing credentials.
AgileData’s SSO is not only secure but also scalable, designed to meet the needs of growing teams while maintaining the highest standards of data protection and access control.
5 core Data Collection Patterns
At AgileData, delivering our Fractional Data Service has revealed the diverse challenges of integrating data from varied organisations, industries, and systems. To scale effectively, we’ve adopted five core data collection patterns based on our “Define it Once, Reuse it Often” (DORO) principle:
1. Push
2. Pull
3. Stream
4. Share
5. File Drop
These patterns are supported by a toolkit of tested technologies like Dataddo, Meltano, and Google services, allowing us to solve new data challenges quickly. Our approach ensures flexibility and scalability, always starting with the question: Push, Pull, Stream, Share, or File Drop?
An Experiment – Top Data Trends for 2025 with Coalesce and Google NotebookLM
Join two LLM generated guests as they discuss the Top Data Trends of 2025 Whitepaper published by Coalesce.
This is a different episode. Instead of a human guest, we have two robot guests.
I decided to try and experiment. My experiment was, can I upload a white paper to LLM, have it generate a podcast listen to that podcast in my daily walk and see whether that summary removes the need for me to actually read the white paper.
So in this case, I have grabbed a white paper called Top Data Trends for 2025 from Coalesce, uploaded it to the Google Notebook LLM and got it to generate a podcast with two hosts chatting about the white paper.
Have a listen, let me know what you think.
AgileData Feature #01 – Marketplace
Information Consumers can quickly search, find and access the Information Products they need to answer their business questions.
This feature enables Information Consumers to search and find all the available dashboards, reports and analytical models in the AgileData App, regardless of what third party Last Mile tool they are created in.
It also enables the Information Consumer to quickly open that report or dashboard directly from the Marketplace, when those reports are accessible by a web URL
Agile Project Management with Johanna Rothman
Join Murray Robinson and Shane Gibson as they chat with Jurgen Appelo about the crisis in the agile community.
We explore how the agile job market has changed with diminishing roles for agile coaches and scrum masters. And we discuss what people can do now that the agile consulting and training gold rush is over. We talk about the poor quality of agile practices in organizations claiming to have done agile. And the need to improve further, to get the benefits available. And we talk about the evolution and rebranding of agile practices and the impact of AI on the industry.
Gain valuable insights into the future of agile, the importance of adapting to change and strategies for sustaining relevance in a shifting market.
AgileData App
Explore AgileData features, updates, and tips
Network
Learn about consulting practises and good patterns for data focused consultancies
DataOps
Learn from our DataOps expertise, covering essential concepts, patterns, and tools
Data and Analytics
Unlock the power of data and analytics with expert guidance
Google Cloud
Imparting knowledge on Google Cloud's capabilities and its role in data-driven workflows
Journey
Explore real-life stories of our challenges, and lessons learned
Product Management
Enrich your product management skills with practical patterns
What Is
Describing data and analytics concepts, terms, and technologies to enable better understanding
Resources
Valuable resources to support your growth in the agile, and data and analytics domains
AgileData Podcast
Discussing combining agile, product and data patterns.
No Nonsense Agile Podcast
Discussing agile and product ways of working.
App Videos
Explore videos to better understand the AgileData App's features and capabilities.
Defining self-service data
Everybody wants self service data, but what do they really mean when they say that.
If we gave them access to a set of highly nested JSON data, and say “help your self”, would that be what they expect?
Or do they expect self service to be able to get information without asking a person to get it for them.
Or are they expecting something in between.
I ask them which of the five simple self service patterns they want to find, which form of self service they are after.
Combining agile and data five years on with Blair Tempero
Guests Blair TemperoShane GibsonResources Join Shane Gibson as he chats with Blair Tempero on that last five years since they started the AgileData Podcast together.Listen on your favourite Podcast Platform |...
There are 3 strategic / macro data use cases
I often ask which of these three macro data use cases the Organisations believed were its priorities to achieve their business strategy:
Providing data to Customers
Supporting Internal Processes
Providing data to External Organisations
Each of these three strategic / macro data use cases come with specific data architectures, data work and also impact the context of how you would design your agile data ways of working.
Eventually the data maintenance Tortoise will catch the new data work Hare
When you work in a data team you have to split your time between building and delivering new Information Products and maintaining the ones you have already delivered.
DataOps patterns can help reduce the time you spend on the maintenance work.
Building the Data Plane while flying it
In the data domain you typically have to balance between building the right thing and building the thing right.
The days of being able to spend 6 months or a year on “Sprint Zero” creating your data platform have gone.
One team I worked with called it “building the airplane as you fly it”
Here are 5 patterns I have seen data teams adopt to help them do this.
2024 the year of the Intelligent Data Platform
AI was the buzzword for 2023 and it will continue to be the buzzword for 2024.
I have been thinking about our approach to AI in our product for a while and landed on 3 patterns that I use as a reference.
Ask AI
Assisted AI
Automated AI
Adopting these patterns moves a data platform from being a manual data platform, towards a data platform that can do some of the data work for you.
An Intelligent Data Platform.
The 3 patterns of AgileData AI
Having AI embedded in your product have become table stakes it seems.
I have been thinking about our approach to AI in our product for a while and landed on 3 patterns that I use as a reference.
Ask AI
Assisted AI
Automated AI
Knowledge Graphs with Juan Sequeda
Dive deep into the world of knowledge graphs with Juan Sequeda on the Agile Data Podcast, hosted by Shane Gibson. Explore key insights from Juan’s journey in computer science, his pivotal role in semantic web development, and the transformative power of knowledge graphs in data integration. Discover how these technologies are reshaping the landscape of data management and the exciting future prospects with the advent of Large Language Models (LLMs). Tune in to understand the practical applications, challenges, and the future of knowledge graphs in enterprise data strategy.
Data Storytelling with Kat Greenbrook
Explore the Art of Data Storytelling with Kat Greenbrook on the Agile Data Podcast. Dive into Kat’s transformative journey from aspiring vet to a data storytelling expert, and discover the power of the ABT (And, But, Therefore) narrative framework in conveying compelling data insights. Uncover common pitfalls and learn crucial differences between data visualization and storytelling. Enhance your business communication skills with practical tips and insights from ‘The Data Storyteller’s Handbook.’ Perfect for professionals in data analytics, business intelligence, and anyone keen to master the art of turning data into impactful stories.
Demystifying CDP’s vs. Data Warehouse’s
In this article we describe the concepts of Customer Data Platforms (CDP) versus Data Warehouses.
The magic of DocOps
TD:LR Patterns like DocOps provide massive value by increasing collaboration across team members and automating manual tasks. But it still requires a high level of technical skills to work in a DocOps way. For the...
Iterations create milestone dates, milestone dates force trade off decisions to be made
Data teams struggle to not “boil the ocean” when doing data work.
Use milestones as a pattern to help the data team to focus on what really needs to be built and manage the trade-off decisions for what doesn’t.
Your data team are mercenaries, define your ways of working based on this
Modern data teams are transient, often staying less than 5 years, unlike past decades of long-term loyalty.
Companies should adapt by defining robust Ways of Working (WoW) that endure beyond individual tenures.
Balancing in-house teams with reliable data vendors for continuity and efficiency may also be a useful pattern as part of your WoW.
I’m getting pedantic about semantics
TD:LR Having a shared language is important to help a data team create their shared ways of working. When we talk about self-service, we should always highlight which self-service pattern we are talking about.I'm...
The Art of Data: Visualisation vs Storytelling
Data visualization is like painting with data, using charts and graphs to make trends and patterns easy to understand. It’s great for presenting data objectively.
Data storytelling weaves a narrative around data, adding context, engaging emotions, and inspiring action. It’s perfect for persuading stakeholders.
Ways of Working with Scott Ambler
Join Shane Gibson on the Agile Data Podcast for an enlightening conversation with Scott Ambler, an IT and Agile expert. Delve into Scott’s journey from pioneering programmer to data architecture and Agile methodologies. Discover the evolution of Agile data, the importance of adapting ways of working, and the pitfalls of best practices. Learn valuable insights into continuous improvement, team dynamics, and the complexities of data quality in today’s fast-paced IT landscape. Don’t miss this episode for an in-depth exploration of Agile data and its impact on IT projects and processes.
Most of your data is rotten and it’s not your fault, but it is your problem
Data quality is an expectation, not an exception.
While data quality is crucial, it’s not always directly our fault when issues arise, nevertheless, it remains our problem to solve.
Data Contracts are one pattern that can help us solve this problem.
Are you delivering drills, holes or outcomes?
TD:LR Whether you're a Data Entrepreneur or an organisation looking for actionable insights, its the business outcome these insights help you achieve that is the most important thing. Yes you need a data platform and...
Data Asset, Data Product, Data Service?
TD:LR Should we treat data as an Asset, a Product, a Service or a hybrid combination of all three? Data Asset, Data Product, Data Service? There has been a lot of discussions on LinkedIn, lots of podcasts, lots of...
Demystifying the Semantic Layer
The semantic layer is your mystical bridge between complex data and meaningful business insights. It acts as a translator, converting technical data into a language you understand. It works through metadata, simplifying queries, promoting consistency, and enabling self-service analytics. This layer fosters collaboration, empowers customization, and adapts to changes seamlessly. With the semantic layer’s power, you can decipher data mysteries, conjure insights, and make decisions with wizard-like precision. Embrace this enchanting tool and let it elevate your data sorcery to new heights.
Attribution Model Patterns with Yorgos Moschovis
Explore the intricacies of marketing attribution with Yorgos Moschovis on the Agile Data Podcast. Dive into the complexities of tracking customer behavior across various channels and the challenges of connecting online and offline data. Learn about Yorgos’s journey from the Office of the Auditor General to a leader in data analytics, navigating through companies like Spark New Zealand and Silicon Graphics. Understand the evolution of attribution modeling, from basic first and last touch to sophisticated, multi-touch approaches. Discover the impact of third-party cookie demise on tracking and the emergence of identity management solutions. Gain insights into how different industries, like retail and insurance, approach customer journey mapping and the significance of continuous touches versus deeper histories. Hear Yorgos’s perspective on the diminishing role of static demographics in favor of digital behavior analysis. The conversation also delves into operational improvements through actionable insights, emphasising real-world applications and AB testing over theoretical model complexities.