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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.

Cloud Analytics Databases: The Magical Realm for Data
Cloud Analytics Databases: The Magical Realm for Data

Cloud Analytics Databases provide flexible, high-performance, cost-effective, and secure solution for storing and analysing large amounts of data. These databases promote collaboration and offer various choices, such as Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics, each with its unique features and ecosystem integrations.

Unveiling the Definition of Data Warehouses: Looking into Bill Inmon’s Magicians Top Hat
Unveiling the Definition of Data Warehouses: Looking into Bill Inmon’s Magicians Top Hat

In a nutshell, a data warehouse, as defined by Bill Inmon, is a subject-oriented, integrated, time-variant, and non-volatile collection of data that supports decision-making processes. It helps data magicians, like business and data analysts, make better-informed decisions, save time, enhance collaboration, and improve business intelligence. To choose the right data warehouse technology, consider your data needs, budget, compatibility with existing tools, scalability, and real-world user experiences.

Martech – The Technologies Behind the Marketing Analytics Stack: A Guide for Data Magicians
Martech – The Technologies Behind the Marketing Analytics Stack: A Guide for Data Magicians

Explore the MarTech stack based on two different patterns: marketing application and data platform. The marketing application pattern focuses on tools for content management, email marketing, CRM, social media, and more, while the data platform pattern emphasises data collection, integration, storage, analytics, and advanced technologies. By understanding both perspectives, you can build a comprehensive martech stack that efficiently integrates marketing efforts and harnesses the power of data to drive better results.

Unveiling the Magic of Data Clean Rooms: Your Data Privacy Magicians
Unveiling the Magic of Data Clean Rooms: Your Data Privacy Magicians

Data clean rooms are secure environments that enable organisations to process, analyse, and share sensitive data while maintaining privacy and security. They use data anonymization, access control, data usage policies, security measures, and auditing to ensure compliance with privacy regulations, making them indispensable for industries like healthcare, finance, and marketing.

Data Lineage Patterns with Tomas Kratky

In this episode of the AgileData Podcast, Shane Gibson has an insightful discussion with Tomas Kratky on the evolution and importance of data lineage, especially in large enterprises. Tomas Kratky, a traditional software engineer turned data enthusiast, shared his journey to founding Manta, a company focused on data lineage. The conversation highlighted the significance of data lineage, not just as an end in itself, but as a powerful tool for unlocking potential in large enterprises, enhancing visibility, and fostering agility.

Observability – Raj Joseph

Join Shane Gibson as he chats with Raj Joseph on his experience in defining data observability patterns.Guests Raj JosephShane GibsonResourcesSubscribe | Apple Podcast | Spotify | Google Podcast  | Amazon Audible |...

Agile-tecture Information Factory
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.