Three Data Point Thursday

By Sven Balnojan

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

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subscribers

43

issues

#43・

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

In a platform business with network effects, if you’re stagnating, you’re already going under. Understand why I think quora will exponentially shrink in the next 7 years.I’m experimenting with the newsletter to ramp up the value you get out of it! So, if you …

 
#42・

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

Hi,This week I got caught off guard by the company Airbyte, a hot new data integration start-up, I’ve been watching closely.The company is betting on the fact that open-source is the future of data integration, and yet decided to close the source on its core.…

 
#41・

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

Hi,You’ll get the “Three Data Point Thursday” as usual on Thursday, here is a roundup of what I’ve been doing besides the newsletter which might be of interest to you…

 
#40・

🐰 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 there’s now also a feedback scale at the bottom which you can & should use! It’s easy, just click on it and I’ll know which newsletter sucks, and which you…

#39・

🐰 #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 contributions, and why I love Github’s Copilot feature.Data will power every piece of our existence in the near future. I collect “Data Points” to help understan…

#38・

🐰 #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 example from a great talk given by Samia Rahman et. al.Data will power every piece of our existence in the near future. I collect “Data Points” to help under…

 
#37・

🐰 #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 Kolibri Games built its data mesh.Data will power every piece of our existence in the near future. I collect “Data Points” to help understand & shape thi…

 
#36・

🐰 #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-based data mesh.Data will power every piece of our existence in the near future. I collect “Data Points” to help understand & shape this future. If you wa…

 
#35・

🐰 #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 COSS business models with timescaleDB.Data will power every piece of our existence in the near future. I collect “Data Points” to help understand & shape …

 
#34・

🐰 #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.Data will power every piece of our existence in the near future. I collect “Data Points” to help understand & shape this future.If you want to support this…

 
#33・

🐰 #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 commercialization.Data will power every piece of our existence in the near future. I collect “Data Points” to help understand & shape this future.If you want …

 
#32・

🐰 #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 and why snowflake seems to be different than the other databases.If you’re reading this via email, then congrats, you’re one of the first 100 subscribers of t…

 
#31・

🐰 #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 engineers and Sven on the data stack show discussing all things data.Data will power every piece of our existence in the near future. I collect “Data Points” t…

 
#30・

🐰 #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 next mega open source project.We’ve made it to 30! Yay! I obviously like to write, so I’m going to continue, whether there are a hundred people receiving this or…

 
#29・

🐰 #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.Data will power every piece of our existence in the near future. I collect “Data Points” to help understand & shape this future.If you want to support th…

 
#28・

🐰 #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 properly price COSS products with GitLab's CEO Sid.

 
#27・

🐰 #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 make data engineers love working for you.

 
#26・

🐰 #26 Future of Data Engineering, Personalization & ML Observability; ThDPTh #26 🐰

How RudderStack sees the future of data engineering, different approaches to personalization in machine learning models, and what ml observability actually is.Data will power every piece of our existence in the near future. I collect “Data Points” to help und…

 
#25・

🐰 #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 good enough as a data orchestrator.

 
#24・

🐰 #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 in the EL(T) open-source space.Data will power every piece of our existence in the near future. I collect “Data Points” to help understand & shape this f…