Three Data Point Thursday

By Sven Balnojan

Data; Business Intelligence; Machine Learning, Artificial Intelligence; Everything about what powers our future.

Previous issues

Thoughtful Friday: Why Quora Will Die - There Is No Such Thing as a Stagnating Platform

#43 Oct 15, 2021

🐰 Airbyte's wrong turn; Metadata lake; A modern data stack in 5 mins; ThDPTh #41 🐰

#42 Oct 14, 2021

News From Sven - Data Mesh Handbook, Data Meshes Suck, and Datacisions

#41 Oct 11, 2021

#40

Oct 7, 2021

🐰 Dbt; Matt Turck; Apache Airflow; ThDPTh #40 🐰 – I’m experimenting with a few changes: More raw input & text for you! I’ll scrap the images. But t
#39

Sep 30, 2021

🐰 #39 ThoughtWorks Tech Radar, OS Incentives and GitHub's CoPilot; ThDPTh #39 🐰 – How “product-thinking” really should work, how to set the right incentives in your os project for con
#38

Sep 23, 2021

🐰 #38 Data Meshes, Data Meshes, and more Data Meshes! ThDPTh #38 🐰 – Today we will take a closer look at a bunch of data meshes, at Saxo Bank, at ABN Amro, and finally an
#37

Sep 16, 2021

🐰 #37 The Data PM, Erik Bernhardsson on Podcast, Kolibris data mesh; ThDPTh #37 🐰 – How to manage internal data products, Erik Bernhardsson on the analytics engineering podcast, and how
#36

Sep 9, 2021

🐰 #36 Tabular Icebergs, Firebolt & Data Meshes; ThDPTh #36 🐰 – New tabular data company on the horizon! What the future holds for Firebolt and how to build a Kafka-
#35

Sep 2, 2021

🐰 #35 Quick and Dirty Data Platform Guide, Dbt what’s the hype? TimescaleDB on COSS business models; ThDPTh #35 🐰 – How to build a data platform with montecarlo, what the hype about dbt is really about, and exploring
#34

Aug 26, 2021

🐰 #34 Deep Analytics, AI in Surfing, AI Business is Different; ThDPTh #34 🐰 – What is deep analytics? How AI is used to win Olympic medals, and how to build a proper AI business.D
#33

Aug 19, 2021

🐰 #33 Data Visualizations with Bertini, Dbt CodeGen, Open Source Commercialization on a16z; ThDPTh #33 🐰 – How data visualizations help machine learning, a useful Dbt tool, and timescaleDB on open source comm
#32

Aug 12, 2021

🐰 #32 Please don’t become the next AltaVista, TikToks Algorithm, Snowflakes Difference; ThDPTh #32 🐰 – Why your company probably will end up on a graveyard of data companies, how TikTok's algorithm works
#31

Aug 5, 2021

🐰 #31 Starburst, Data Stack Show, We don’t need data scientists; ThDPTh #31 🐰 – How Starburst and trino will develop in the future, why we don’t need more data scientists but data e
#30

Jul 29, 2021

🐰 #30 Downfall of the Data Engineer, Open Data Collaboration, Building Mega Open-Source Projects; ThDPTh #30 🐰 – The downfall of the data engineer, why open data collaboration has problems, and how to build the nex
#29

Jul 22, 2021

🐰 #29 Sorry JPMorgan! MeltanoHub, Data Platforms; ThDPTh #29 🐰 – Data Mesh at JP Morgan Chase, Meltanos Hub got launched and a quick and dirty guide to data platforms
#28

Jul 15, 2021

🐰 #28 HelloFresh Data Mesh, Meltano, GitLabs COSS Business Model; ThDPTh #28 🐰 – Follow HelloFresh along their data mesh journey, see Meltano get spun out, and understand how to prop
#27

Jul 8, 2021

🐰 #27 Data people are short in supply, Dbt Labs out in the open, how to make data engineers love their work; ThDPTh #27 🐰 – It’s a fact, data people are in short supply, Fishtown analytics raised a big series C and how to mak
#26

Jul 1, 2021

🐰 #26 Future of Data Engineering, Personalization & ML Observability; ThDPTh #26 🐰 – How RudderStack sees the future of data engineering, different approaches to personalization in machi
#25

Jun 24, 2021

🐰 #25 TechStyles modern data platform, ETL needs OS, is Airflow good enough?; ThDPTh #25 🐰 – How TechStyle created their modern data platform, why ETL needs open-source, and whether airflow is g
#24

Jun 17, 2021

🐰 #24 Measuring data teams, dagster & airbyte & meltano again; ThDPTh #24 🐰 – How to measure a data team’s success, why dagster is a kool tool, and how Airbyte compares to meltano

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