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Why Data Quality Is So Hard In S3
And Data Lakes In General
May 17
•
Mark Freeman
and
Chad Sanderson
29
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Why Data Quality Is So Hard In S3
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2
An Industry Shift: Moving From Collecting to Automating Metadata
An Introduction to Apache Iceberg and How It Can Work With Data Contracts
May 6
•
Mark Freeman
and
Chad Sanderson
25
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An Industry Shift: Moving From Collecting to Automating Metadata
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4
February 2024
Data Contracts Book - Early Release
Chapters 1 & 2 Available Free
Feb 27
•
Chad Sanderson
26
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Data Contracts Book - Early Release
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January 2024
Why Data Quality Is More Important Than Ever in an AI-Driven World
The Shift to Data-Centric AI
Jan 8
•
Mikiko Bazeley
45
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Why Data Quality Is More Important Than Ever in an AI-Driven World
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6
December 2023
The Data Quality Resolution Process
How Data Teams Manually Solve Data Quality Issues
Dec 11, 2023
•
Mark Freeman
36
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The Data Quality Resolution Process
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3
The Consumer-Defined Data Contract
Why Producer-Centric Contracts (Can) Fail
Dec 4, 2023
•
Chad Sanderson
30
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The Consumer-Defined Data Contract
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1
October 2023
The True Cost of Data Debt
TL;DR It's Trust
Oct 11, 2023
•
Mark Freeman
and
Chad Sanderson
55
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The True Cost of Data Debt
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2
September 2023
Tackling Data's Biggest Culture Problem
Introducing Gable.ai
Sep 12, 2023
•
Chad Sanderson
66
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Tackling Data's Biggest Culture Problem
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2
July 2023
Data is not a Microservice
Why Software Engineering Can't Solve Data's Problems
Jul 7, 2023
•
Chad Sanderson
88
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Data is not a Microservice
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7
June 2023
OLTP vs OLAP: The Core of Data Miscommunication
Why Data Producers and Consumers Don't Get Along
Jun 23, 2023
•
Mark Freeman
59
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OLTP vs OLAP: The Core of Data Miscommunication
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7
May 2023
How Scale Kills Data Teams
And Why the Modern Data Stack Isn't Enough To Save Them
May 19, 2023
•
Chad Sanderson
149
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How Scale Kills Data Teams
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9
January 2023
Data Contracts for the Warehouse
Programmatic Accountability in Batch
Jan 25, 2023
•
Chad Sanderson
and
Daniel Dicker
61
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Data Contracts for the Warehouse
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8
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