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Episode 100 – A retrospective
Welcome to our 100th episode.
In this episode, we talk about what we’ve learnt from our guests about agile, product development and leadership. We discuss what the podcast is about and why we started it. We unpack our critical take on fake agile and discuss agile leadership and product development. Join us as we take a deep dive into the insights, experiences and conversations that have shaped our podcast ovr the last 99 episodes. And here’s to another hundred episodes of cutting through the nonsense and bringing you the advice you need to succeed.
Business Agility with Evan Leybourn
Join Murray Robinson and Shane Gibson as they chat with Evan Leybourn from the Business Agility Institute about business agility. We discuss how to define and measure business agility, examples of agile organisations, and the struggle with traditional bureaucratic models. We delve into the different types of leadership, the nature of internal cultural and political changes, and the challenges faced by organisations in adopting and implementing agility.
Bridging Data and Product Management Practises and Patterns with Juha Korpela
Join Shane Gibson as he chats with Juha Korpela on how to adopt patterns and practises from Product Management and apply them to the data domain.
Innovation and disaster with Ron Westrum
Join Murray Robinson and Shane Gibson as they chat with Ron Westrum about how organisational culture drives innovation and disaster. We discuss generative, bureaucratic and pathological cultures, using real-world examples from NASA, Boeing and others. This episode highlights the importance of leadership integrity, openness, honesty, the free flow of information, and a mission-focused approach to achieving organisational goals. Listen for insights on identifying and promoting a generative culture, dealing with bad news, the role of technical maestros, and much more.
Introducing Hai, AgileData 2024 Data Intern
I’m Hai, a name that intriguingly means “hi” in English. Originally from Vietnam, I now find myself in Australia, studying Data Science and embracing an internship at AgileData.io. This journey is not just about academic growth but also about applying my knowledge in practical, impactful ways. Join me as I explore the blend of technology and community, aiming to make a difference through data.
Unmanaged with Jack Skeels
Join Murray Robinson and Shane Gibson as they chat with Jack Skeels about agile for digital and marketing agencies. Jack advocates for reducing the managerial overhead in organisations to promote productivity and improve communication. We discuss common hurdles in agile implementations. The value of a manager as a sports coach. The importance of scoping the work. Over managing and how real change must start from the top. This episode is full of practical advice and critical insights into organisation dynamics. This conversation is especially useful for those seeking to implement agile in a more holistic, efficient, and outcome oriented way in a service provider.
Patterns for being a successful internal data consultancy with Dylan Jones
Join Shane Gibson as he chats with Dylan Jones on how to adopt patterns used by successful data consultancies and apply them in your organisation as an internal data team.
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.
OKR’s with Adrian Howard
Join Murray Robinson and Shane Gibson as they discuss objectives and key results with Adrian Howard.
Adrian explains how OKR’s can be used as a strategic instrument for aligning goals within your organisation. We walk through common pitfalls and misconceptions emphasizing the importance of using OKR’s focused on outcomes rather than outputs. We discuss the potential for using OKR’s with vendors. The idea of paired metrics. And how OKR’s can serve as indicators of underlying problems within your organisations culture and structure.
AgileData App
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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.
5E’s
As Data Consultants your customers are buying and outcome based on one of these patterns – effort, expertise, experience or efficiency.
We outline what each of these are, how they are different to each other and how to charge for delivering them.
Conceptually Modeling Concepts, Details and Events in AgileData
Join Shane and Nigel as they discuss how and why we define a conceptual model of Concepts, Details and Events in AgileData and how we map these to a physical Data Vault model.
Agile-tecture Information Factory
Defining a Data Architecture is a key pattern when working in the data domain.
Its always tempting to boil the ocean when defining yours, don’t!
And once you have defined your data architecture, find a way to articulate and share it with simplicity.
Here is how we articulate the AgileData Data Agile-tecture.
Data Architecture as a Service (DAaaS)
TD:LR Data Architecture as a Service (DAaaS), is it Buzzwashing or not? As is often the case, it depends on your point of view. Our point of view? Nope its a real thing.
Myth: using the cloud for your data warehouse is expensive
TD:LR Cloud Data Platforms promise you the magic of storing your data and unlimited elastic compute for cents. Is it too good to be true? Yes AND No. You can run a cloud platform for a low low cost, but its will take...
Agile and Product – Justin Bauer
Join Shane Gibson as he chats with Justin Bauer on his experience combining the worlds of agile and product in a data driven company.Guests Justin BauerShane GibsonResourcesSubscribe | Apple Podcast | Spotify | Google...
AgileData WoW Q&A – Hamish Gray and May-Lyn Hu
Join Shane Gibson, Hamish Gray and May-Lyn Hu as they talk through some of the experiences they have had in their organisation applying agile and data together in a new way of working.Guests Hamish Gray May-Lyn Hu...
Observability, Tick
TD:LR Data observability is not something new, its a set of features every data platform should have to get the data jobs done. Observability is crucial as you scale Observability is very on trend right now. It feels...
DataOps: The Magic Wand for Data Magicians
DataOps is a magical approach to data management, combining Agile, DevOps, and Lean Manufacturing principles. It fosters collaboration, agility, automation, continuous integration and delivery, and quality control. This empowers data magicians like you to work more efficiently, adapt to changing business requirements, and deliver high-quality, data-driven insights with confidence.
The language of data is not so natural
TD:LR The dream is we can just point the machine at our data, ask our question and get a useful answer. With ChatGPT we are closer than we have ever been, but we are not there yet,When Nigel and I first started...
Build Data Products Without A Data Team Using AgileData
TD:LR Late in 2022 I was lucky enough to talk to Tobias Macey on the Data Engineering podcast about our AgileData SaaS product and our focus on enabling analysts to do the data work without having to rely on a team of...
How To Bring Agile Practices To Your Data Projects
TD:LR Late in 2022 I was lucky enough to talk to Tobias Macey on the Data Engineering podcast about combining agile patterns and practises with those from the data domain. Listen to the episode or read the transcript....
Using the Information Product Canvas with Tammy Leahy
Join Shane and Tammy Leahy as they discuss the Information Product Canvas, what each area of the canvas holds and why you would want to collect this information.
This is the second in a series of podcast episodes that deep dives into the Information Product pattern.
Analytical team topologies – Ashwin Kamath
Join Shane and guest Ashwin Kamath as they discuss his experience working with analytical teams and analytical team topologies.
Information Products – What and Why with Tammy Leahy
Join Shane GIbson and Tammy Leahy as they discuss what the Information Product pattern is and Why you would use it.
App Engine and Socket.IO
We wanted to be able to dynamically notify Data Magicians when a task had completed, without them having to refresh their browser screen constantly. Implementing websockets allowed us to achieve this.
I can write a bit of code faster
TD:LR To get data tasks done involves a lot more than just bashing out a few lines of code to get the data into a format that you can give it to your stakeholder/customer. Unless of course it really is a one off and...
The Focus Podcast – Agile Data Governance Patterns
Early in 2022 Shane Gibson was lucky enough to talk to the Focus podcast crew about agile governance in the data domain. Watch or listen to the episode.
ELT without persisted watermarks ? not a problem
We no longer need to manually track the state of a table, when it was created, when it was updated, which data pipeline last touched it …. all these data points are available by doing a simple call to the logging and bigquery api. Under the covers the google cloud platform is already tracking everything we need … every insert, update, delete, create, load, drop, alter is being captured
Three Agile Testing Methods – TDD, ATDD and BDD
In the word of agile, there are three common testing techniques that can be used to improve our testing practices and to assist with enabling automated testing.
Scaling data teams – Tammy Leahy
Shane Gibson chats to Tammy Leahy about how she helped scale the data teams she leads.