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community

A collection of 46 issues

Community Comment: Part 32 - Citizen users of SQL need multiple skills

* Citizen users of SQL need multiple skills * Understand what tables & views needed * Generate correct output * Performantly generate correct output The comments I provided in reaction to a community discussion thread. Chief Product Officer at Analytics Product Firm: I've met data analysts who can run circles around data

Community Comment: Part 31 - Wholesale self-service analytics is a dumb goal

* Dumb goal: wholesale self-service analytics * Don't attempt a shotgun approach * Self-service users need to be defined * Identify & cater to power users The comments I provided in reaction to a community discussion thread. Chief Product Officer at Analytics Product Firm: Self service analytics is a dumb goal, and

Community Post: Part 4 - A book on deepfake detection quoted me

A well-received community post I recently made: https://www.linkedin.com/posts/erikgfesser_spark-bigdata-analytics-activity-7130307566965776384-ZYnv I'm apparently being quoted in books now. The quote is in chapter 3 ("Deepfakes Spark Implementation for BigData Analytics") of a book entitled "Handbook of Research on Advanced Practical Approaches to

Community Post: Part 3 - Delta Lake 3.0 is like an electric car charging standard

* The power of open source * Delta Lake 3.0 is just one example * Parquet-based data lakehouse file format * Similar to electric car charging standard A well-received community post I recently made: https://www.linkedin.com/posts/erikgfesser_snowflake-deltalake-iceberg-activity-7080482215016476672-Xrh0 Just over two months ago in mid-April of this year, I couldn&

Community Comment: Part 30 - With respect to Azure, Databricks Unity Catalog & Microsoft Purview is not an either-or proposition

* Databricks Unity Catalog & Microsoft Purview * Not an either-or proposition for Azure * Likely need to integrate these products * Integration dependant on several factors The comments I provided in reaction to a community discussion thread. Cloud Solutions Architect at Consulting Firm: Read my latest post if you want to know what

Community Comment: Part 29 - Usage of normalized versus denormalized data storage is dependent on usage patterns

* Normalized versus denormalized data * Data storage dependent on usage patterns * Denormalized data makes reads efficient * Normalized data makes writes efficient The comments I provided in reaction to a community discussion thread. CEO at Business Intelligence Product Firm: After 100s of conversations with analytics engineers, I'm convinced the way

Community Comment: Part 28 - Technical debt is actually a subset of organizational debt

* Not all technical debt is the same * Discussion with purported CTOs * Technical debt is subset of organizational debt * Business + technology = "our business" The comments I provided in reaction to a community discussion thread. Fractional CTO and "Engineering Management Expert": "Technical debt? Is that a joke?

Community Comment: Part 27 - Assessment is needed when deciding between transactional and analytical modeling

* Transactional versus analytical modeling * Discussion with purported staff data engineer * Making broad generalizations doesn't help * Quoting $ savings in vacuum not advised The comments I provided in reaction to a community discussion thread. Owner of Data Engineering Training Firm and former Staff Data Engineer at Airbnb: If you model

Community Comment: Part 26 - With respect to data normalization, performance is key

* Normalized versus denormalized data * Discussion with purported training firm CEO * Performance is important consideration * More factors involved than just record count The comments I provided in reaction to a community discussion thread. Founder & CEO of "Big Data" Training Firm: Normalization vs Denormalization Normalization is a process of

Community Comment: Part 25 - When considering the choice between waterfall and agile methodologies, keep product life cycle in mind

* Waterfall versus various agile claims * Software engineering methodologies * Poor methodologies assume product lifespan * Lifespan may be too short to see success The comments I provided in reaction to a community discussion thread. Owner at Software Delivery Firm: What does this say to you? #agile #waterfall #softwaredevelopment #iterativedevelopment #incrementaldevelopment Gfesser: The