by agiledata | Jun 14, 2023 | AgileData Product, Blog
Immerse yourself in the magical world of data with AgileData’s ‘Ask a Quick Question’ capability. Perfectly designed for data analysts and business analysts who need to swiftly extract insights from data, this capability facilitates quick data queries and rapid exploratory data analysis.
by agiledata | Jun 13, 2023 | No Nonsense Agile Podcast, Podcast
Working with executives with Peter Lam Join Murray Robinson and Shane Gibson as they discuss the nuances of agile transformations with management consultant expert, Peter Lam. We delve deep into: 🔹 The value and effectiveness of consulting playbooks🔹 The ongoing...
by Shane Gibson | Jun 11, 2023 | AgileData Network, AgileData Way of Working, Blog
The Hitchhikers guide to the Information Product Canvas TD:LR In mid 2023 I was lucky enough to present at The Knowledge Gap on the Information Product Canvas. Shane Gibson - AgileData.io Watch The Information Product Canvas, is an innovative pattern designed to...
by Nigel Vining | Jun 9, 2023 | AgileData DataOps, Blog
We discuss how to handle change data in a hands-off filedrop process. We use the ingestion timestamp as a simple proxy for the effective date of each record, allowing us to version each day’s data. For files with multiple change records, we scan all columns to identify and rank potential effective date columns. We then pass this information to an automated rule, ensuring it gets applied as we load the data. This process enables us to efficiently handle change data, track data flow, and manage multiple changes in an automated way.
by agiledata | Jun 7, 2023 | AgileData Podcast, Podcast
In an insightful episode of the AgileData Podcast, Shane Gibson hosts Ahmed Elsamadisi to delve into the evolving world of data modeling, focusing on the innovative concept of the Activity Schema. Elsamadisi, with a rich background in AI and data science, shares his journey from working on self-driving cars to spearheading data initiatives at WeWork. The discussion centers on the pivotal role of data modeling in enhancing scalability and efficiency in data systems, with Elsamadisi highlighting the limitations of traditional models like star schema and data vault in addressing complex, modern data queries.
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