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NZ Scaleup AgileData achieves Google Cloud Ready – BigQuery Designation
AgileData has achieved Google Cloud Ready – BigQuery designation, streamlining data management for customers and partners. This certification confirms the integration’s functionality and reliability, reducing complexity through a low-code interface. By leveraging Google Cloud’s infrastructure and BigQuery, AgileData empowers business leaders to rapidly gain insights and make informed decisions efficiently.
The last (for now) of our #AgileDataDiscover summaries!
Shane Gibson and Nigel Vining completed a 30-day public experiment using a Large Language Model for legacy data warehouse discovery. They confirmed it was feasible, viable, and valuable, securing their first paying customer. They’re showcasing their progress at Big Data London in September under their new product, AgileData Disco.
#AgileDataDiscover weekly wrap No.5
We are in the final phase of building a new product, AgileData Disco, aimed at efficiently discovering and documenting data platforms. We are exploring various Go-to-Market strategies like SLG and PLG. Pricing strategies include options like pay per output or subscription models. We are building in public to gather feedback and refine their approach.
#AgileDataDiscover weekly wrap No.4
We review feedback, highlight emerging use cases like legacy data understanding, data governance, and automated data migration. New patterns are needed for moving from prototype to MVP. Challenges include managing tokens, logging responses, and secure data handling. The GTM strategy focuses on Partner/Channel Led Growth.
Mob Programming and Software Teaming with Woody Zuill
Join Murray Robinson and Shane Gibson as they chat with with Woody Zuill about mob programming.
Woody explains the concept of mob programming where a cross-functional software development team focuses on completing one feature at a time. Woody describes how mobbing has increased the effectiveness of development teams he’s worked with by 10 times while rapidly increasing team learning, capability and skills. Tune in to learn about the practical implementation of mobbing techniques to improve your product development.
AI Data Agents with Joe Reis
Join Shane Gibson as he chats with Joe Reis on how the potential adoption of GenAI and LLM’s in the way Data teams work.
#AgileDataDiscover weekly wrap No.3
We focus on developing features such as secure sign-in, file upload, data security, and access to Google’s LLM. Challenges include improving the menu system and separating outputs into distinct screens for clarity. Feedback drives their iterative improvements.
#AgileDataDiscover weekly wrap No.2
We discuss the ongoing development of a new product idea, emphasising feasibility and viability through internal research (“McSpikeys”). Initial tests using LLMs have been promising, but strategic decisions lie ahead regarding its integration. The team grapples with market validation and adjusting their workflow for optimal experimentation.
The Dojo with Joel Tosi and Dion Stewart
Join Murray Robinson and Shane Gibson as they chat with Joel Tosi and Dion Stewart about Dojo’s.
Dojo’s are a six week immersive learning experience where teams learn and practice new ways of working on real work with skilled coaches. We discuss the structure and implementation of Dojos, chartering, coaching dynamics, and frequent feedback loops. We emphasize the challenges and anti-patterns that can emerge, such as treating Dojos as bootcamps or lacking stakeholder support. Finally, Joel and Dion offer insights into the future of Dojos and their potential for building capability and driving organisation change.
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.
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.
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.
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...