Three Data Point Thursday

By Sven Balnojan

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

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

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subscribers

53

issues

#53・

DAGs suck; FAIR Data; E(t)LT(P); ThDPTh #48

If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders.- Data orchestrators are overrated. Data developers spend a lot of time creating “DAGs”, large graphs of dependencie…

 
#52・

Thoughtful Friday #4: The Three Biggest Challenges Of Data and Maybe of the Business World

I’m a technology lover, a fan of complex things, and a deep diver into a lot of data-related tech stuff. I’ve been blown away by machine learning models able to write texts, and the fact that we have both, machines that can (with a lot of caveats) build bette…

 
#51・

Platforms; Dbt; Apache Iceberg in 2 sentences; ThDPTh #47

If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders.- Table formats like Iceberg, Hudi, Deltalake challenge the snowflakes of this world. By bringing the same functiona…

 
#50・

Data is Expensive; Dbt Refactoring; Data Mesh Platform Architecture; ThDPTh #46

If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders.- The future of data tooling marketing might look very different than it currently does. Instead of big X technologi…

 
#49・

Thoughtful Friday #3: A Deep Dive into Hex Technologies (Or Any Other Data Company)

- Hex Technologies possesses a still evolving but existing vision for the whole data space. Since the space is in turmoil, this is crucial to any company! It’s even more important because they are building an internal platform, which relies on a strong story …

 
#48・

MeltanoLabs; Analyst Success; Federated Computational Governance; ThDPTh #45

If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders.- Federated Computational Governance is there to stay. The concept stemming from the data mesh paradigm will stay an…

 
#47・

5x a data team at Postman, 13 kinds of network effects, Meltano extends beyond ETL; ThDPTh #44

If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders.Going against the trend and moving towards a more central data team structure can make a huge difference. At Postman…

 
#46・

Thoughtful Friday #2: Where is the First True Data Platform?

Tobi Lütke built a hugely successful platform with a market cap of 160 billion dollars. Reid Hoffman, argues in a “Masters of Scale” Episode that most companies should look into building platforms. The reasoning behind this? Let’s explore them. Oh wait, and l…

 
#45・

Hex gets exciting! Malloy; Autonomous Systems; ThDPTh #43

If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders.- Hex notebooks are worth a try. They already offer enough to be fun to use, SQL & Python cells and parameters e…

 
#44・

GraphDB Newcomers; Data PM; ML Engineers; ThDPTh #42

If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders.- Five of the six newcomers in the graphDB space are betting on open-source.- The “data snowflake” problem is a good…

 
#43・

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

If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders. If a platform business is stagnating, it might be already dying. If you run a stagnating platform business, it’s ti…

 
#42・

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

If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders.Airbyte took a wrong “license” turn.If you’re in the same situation don’t fall for the tyranny of the OR, embrace yo…

 
#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 🐰

🚀 This is something you simply have to click on and dig into. I really admire the effort they took to create this landscape. A few things stand out to me, first of all, it’s the near-Cambrian explosion in the data space that apparently happened sometime in th…

#39・

🐰 #39 ThoughtWorks Tech Radar, OS Incentives and GitHub's CoPilot; ThDPTh #39 🐰

I always enjoy ThoughtWorks Technology radar, but the current one is particularly well suited for my recent thinking about data meshes & data platforms:“Increasingly, organizations are adopting a platform team concept: set up a dedicated group that create…

#38・

🐰 #38 Data Meshes, Data Meshes, and more Data Meshes! ThDPTh #38 🐰

As a bank, Saxo Bank seems true to be a good candidate for a data mesh. In contrast to what sometimes is said about the data mesh “it’s good for when you have complex domains”, I believe that the data mesh is potentially a good tool for when you have “complex…

 
#37・

🐰 #37 The Data PM, Erik Bernhardsson on Podcast, Kolibris data mesh; ThDPTh #37 🐰

Data teams do a variety of things. When they build a new movie recommendation engine or a forecast that is used by consumers, they build products serving the end customer of the company.But probably half of the data teams out there build products for internal…

 
#36・

🐰 #36 Tabular Icebergs, Firebolt & Data Meshes; ThDPTh #36 🐰

Tabular just announced its Series A led by a16z. Tabular is targeting to capitalize on Apache Iceberg. Now Iceberg is an interesting project itself, basically, an analytical table format (with an engine in between) that makes working with huge analytical tabl…

 
#35・

🐰 #35 Quick and Dirty Data Platform Guide, Dbt what’s the hype? TimescaleDB on COSS business models; ThDPTh #35 🐰

The team at montecarlodata shares their 6-layer set up for a data platform. We’re talking about a platform that’s targeted at end-users, these days that’s an important piece of information to keep in mind. Their setup isdata ingestiondata storage & proces…

 
#34・

🐰 #34 Deep Analytics, AI in Surfing, AI Business is Different; ThDPTh #34 🐰

This article’s a bit of an ad for the company, but I like the wording “deep analytics” and I find one point very true: It deserves a name and it is kind of underestimated.Deep analytics is digging through data, it’s not about dashboards of reports, it’s about…