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Fragmentation Hell
I had a call with a data engineer who talked about how the fragmentation in the data stack is crushing his team.
Dec 13
•
Josh Gray
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Fragmentation Hell
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Why The Data Platform is The Most Important Internal Tool
I was inspired to write this post while reading Packy McCormick's Not Boring article on Rox, a new investment of his. Here is my case for why the data…
Dec 11
•
Josh Gray
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Why The Data Platform is The Most Important Internal Tool
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BigQuery Slots: What You Need to Know
A few weeks ago, I posted that Artemis picked up an insight that saved a customer $11k annually in BigQuery costs. A few people asked how we did it, and…
Dec 9
•
Josh Gray
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BigQuery Slots: What You Need to Know
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What the Heck Happened to the MDS?
Not too long ago, the Modern Data Stack (MDS) was hailed as a game-changer in the data engineering world.
Dec 2
•
Kirsten
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What the Heck Happened to the MDS?
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November 2024
Reimagining Data Engineering: From Reactive to Proactive Systems
How many of us feel like every time we work on a data and analytical project we are putting out a fire?
Nov 27
•
Kirsten
1
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Reimagining Data Engineering: From Reactive to Proactive Systems
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The Bloated dbt Repo
As we shifted from ETL to ELT, transformation workloads have become the main driver of data warehouse costs and teams are more bloated then ever. How…
Nov 26
•
Josh Gray
1
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The Bloated dbt Repo
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Data Context: The Critical Currency of Modern Data Engineering
In 2006 when British mathematician Clive Humby declared that "data is the new oil", he illuminated a fundamental truth that many organizations are still…
Nov 25
•
Kirsten
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Data Context: The Critical Currency of Modern Data Engineering
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Is your Data Warehouse Bleeding Money? Signs You need Optimization
In today's data-driven world, cloud data warehouses are the backbone of modern analytics.
Nov 21
•
Kirsten
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Is your Data Warehouse Bleeding Money? Signs You need Optimization
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Data Engineers Deserve better
The Unsung Heroes
Nov 19
•
Kirsten
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Data Engineers Deserve better
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In Data, Why is our Daily Driver an F1 Racecar?
Most data teams build a custom racecar for their analytics—not because they want to, but because that's just how the modern data stack works.
Nov 19
•
Josh Gray
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In Data, Why is our Daily Driver an F1 Racecar?
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Fragmentation in the Data Stack and cost structure with Chris Riccomini
Chris Riccomini shares his thoughts on the fragmented data stack, dbt, and how to get data platform costs down.
Nov 14
•
Josh Gray
6
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Fragmentation in the Data Stack and cost structure with Chris Riccomini
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From Ants to Algorithms: Biomimicry in AI
In 2010, researchers in Japan made headlines with an astonishing demonstration: they used a species of slime mold to design an optimal railway network…
Nov 12
•
Kirsten
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From Ants to Algorithms: Biomimicry in AI
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