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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 | Apple Podcast | Spotify | Google Podcast | Amazon...
The Heart of Agile with Mike Leber
Join Murray Robinson and Shane Gibson as discuss business agility and the heart of agile with Mike Leber.
We talk about how the heart of agile liberates you from rigid process frameworks by focusing on collaboration, delivery reflection and improvement. We talk about how the agile industrial complex has turned agile into a heavyweight waterfall process. And how innovation is happening outside the traditional agile bubble. And lastly, we talk about agile leadership. If you’re interested in getting to the heart of agile and exploring business agility.
The state of product management with Jason Knight
Join Murray Robinson and Shane Gibson as they chat with Jason Knight on the state of product management.
Jason shares his insights and experiences on the responsibilities of a product manager, the evolving nature of the role. Differentiating buyer and user features the importance of testing and validating ideas. Supporting cross-functional teams and fostering a mindset of continuous improvement. Jason shares insights from his experiences and discussions with thought leaders and provides advice for those navigating the product management field.
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.
Dysfunction Mapping with Michael Lloyd
Join Murray Robinson and Shane Gibson as they chat with Michael Lloyd about dysfunction mapping.
Whether you are new to the agile world or a seasoned professional, you’ll find valuable insights as we delve into understanding team dynamics, honing the coaching process. And the essential principle of iterative hypothesis testing. Join us as we learned the power of mapping dysfunctions to unveil powerful solutions in agile environments.
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.
Developing digital products in China with Bianca Grizhar
In this episode, we talk to Bianca Grizhar about developing digital products in China. We discuss the cultural differences between Germany and China, and how Scrum improved team collaboration. We talk about the benefits of working directly with people offshore in cross functional, cross organisational teams. Whether you’re a product manager or a developer, this episode is packed with practical advice that will help you work more successfully with your offshore teams.
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Learn from our DataOps expertise, covering essential concepts, patterns, and tools
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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.
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....
Information Product Canvas
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
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.
Data Products
Join Shane and guest Eric Broda as they discuss data products.
Using a manifest concept to run data pipelines
TD:LR … you don’t always need to use DAGs to orchestrate Previously we talked about how we use an ephemeral Serverless architecture based on Google Cloud Functions and Google PubSub Messaging to run our customer data...
“Serverless” Data Processing
TD:LR When we dreamed up AgileData and started white-boarding ideas around architecture, one of the patterns we were adamant that we would leverage, would be Serverless. This posts explains why we were adamant and what...
A Data Engineer an Agile Coach and a Fish walk into a bar…
This is the first of a series of articles detailing how we built a platform to make data fun and remove complexity for our users
Analysts can model democratising data modeling
In 2022 Shane Gibson was lucky enough to present “Analysts can model democratising data modeling” at the Knowledge Gap Conference
Watch the presentation.
Data Mesh Podcast – Finding useful and repeatable patterns for data
TD:LR I talk to Scott Hirleman on the Data Mesh Radio podcast on my thoughts on Data Mesh and the need for resuable patterns in the data & analytics domain. My opinion on Data Mesh I am not a fan of the current...