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Data Operating Models patterns with Dylan Anderson

Join Shane Gibson as he chats with Dylan Anderson about the patterns required to define a Data Operating Model.

Innovation and disaster with Ron Westrum
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
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
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.

Defining self-service data
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
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.

The Heart of Agile with Mike Leber
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.

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Imparting knowledge on Google Cloud's capabilities and its role in data-driven workflows

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Explore real-life stories of our challenges, and lessons learned

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Enrich your product management skills with practical patterns

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Describing data and analytics concepts, terms, and technologies to enable better understanding

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Valuable resources to support your growth in the agile, and data and analytics domains

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Discussing combining agile, product and data patterns.

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Discussing agile and product ways of working.

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ELT without persisted watermarks ? not a problem
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

What is Data Lineage?
What is Data Lineage?

TD:LR AgileData mission is to reduce the complexity of managing data. In the modern data world there are many capability categories, each with their own specialised terms, technologies and three letter acronyms. We...

Data Mesh 4.0.4
Data Mesh 4.0.4

TD:LR Data Mesh 4.0.4 is only available for a very short time. please ensure you scroll to the bottom of the article to understand the temporal nature of the Data Mesh 4.0.4 approach.This article was published on 1st...

Data Observability Uncovered: A Magical Lens for Data Magicians
Data Observability Uncovered: A Magical Lens for Data Magicians

Data observability provides comprehensive visibility into the health, quality, and reliability of your data ecosystem. It dives deeper than traditional monitoring, examining the actual data flowing through your pipelines. With tools like data lineage tracking, data quality metrics, and anomaly detection, data observability helps data magicians quickly detect and diagnose issues, ensuring accurate, reliable data-driven decisions.