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The newsletter on doing data better, Folding Data is Datafold’s weekly newsletter filled with interesting reads, cool tools, industry insights, and always a meme.

View previous newsletters before you subscribe

#41

April 28, 2023

The next frontier for dbt, launching our open source data-diff & dbt integration, and Data Quality Meetup is back!

#40

February 28, 2023

dbt + python = ?, ChatGPT & are we out of a job yet, and our virtual hands-on lab!

#39

September 6, 2022

Contracts vs. handshakes, liberating data, Data Quality Meetup is back

#38

August 12, 2022

The Airflow problem, learning data through beautiful design, ESports as in Excel

#37

August 5, 2022

Never get alerts, Never break Hightouch, Never wait for queries

#36

June 28, 2022

Open sourcing data-diff, why SQL can’t tell you if the chicken or the egg came first, and how Hex continues to become more magical

#35

June 2, 2022

The American Dream of Analytics Engineers, searching for the perfect DAG, the best data storytellers still use R.

#34

May 27, 2022

Data observability vs. data quality and why leftists win, A/B testing leads nowhere, events done well go a long way

#33

April 29, 2022

Data relationships before contracts; data OS contenders

#32

April 22, 2022

Too much data testing; weird languages that will save us

#31

April 16, 2022

Data activation and its consequences; BI app-building toolkits

#30

April 9, 2022

Why is it so hard to do data; at least collecting events doesn't have to be so

#29

April 1, 2022

Fundamentals for analytics engineering, commoditized ranking, and tested PRs for all

#28

March 19, 2022

The limits of data observability, excel as the ultimate BI, heuristics that almost always work

#27

March 11, 2022

Data pipelines = microservices?, the flowering of Supergrain

#26

March 5, 2022

What I can't be silent about, tools to help... and bold bets in BI

#25

February 18, 2022

The limits of data observability, excel as the ultimate BI, heuristics that almost always work

#24

December 17, 2021

Best reads, news, and memes of 2021

#23

December 10, 2021

Thinking of analytics tools as products, data warehouse vault, and 2021 wins

#22

December 3, 2021

Iterating on your data team & next-gen data notebook experience

#21

November 24, 2021

Zillow’s failed $3B bet on ML & metric platforms for the rest of us

#20

November 19, 2021

Spicy Snowflake benchmarks, a data profiler tool, and what happened at Data Quality Meetup #6

#19

November 5, 2021

Learning from four years at Databricks, getting good at chess, and a new Airflow killer

#18

October 28, 2021

Data hype cycles, things to know about being a data scientist, and an upgraded SQL-like language

#17

October 22, 2021

Data interview prep, animated BI, and beware of SQL bearing gifts

#16

October 15, 2021

Differences in CI/CD, tracing PII with lineage, and spooky data

#15

October 8, 2021

The MAD data landscape, making CSVs unboring, and the final data quality meetup of 2021

#14

October 1, 2021

Redshift's killer from Russia, comp transparency & how Airbnb protects our data

#13

September 23, 2021

Data science ethics, a de-dupe tool, and the s/z debate continues

#12

September 17, 2021

Timeseries anomaly detection at scale, learn ML on GitHub, and how top companies manage data quality

#11

September 9, 2021

Weird languages, cognitive biases and lots of rants on Data Engineering

#10

September 2, 2021

What is simple for a BI tool, what's wrong with the modern data stack, what we won't miss in data eng

#9

August 25, 2021

Datafold is SOC 2 compliant, Florence Nightingale was a data nerd, and it may be time to tell someone "no"

#8

August 19, 2021

The UK Gov't launches a data quality hub, woodland creatures pair w/Kafka, & how to build an OSS data stack

#7

August 5, 2021

Get "InSight" into Mars, 9 best tools for data quality, and the monster in your data lake

#6

June 29, 2021

Registrations are now open for our next Data Quality Meetup, plus some cool things in BI and visualization

#5

June 22, 2021

Find out about a cool new tool for BI, plus a fascinating read on Reforge

#4

June 14, 2021

Find out about the state of data quality in 2021, plus an interesting read if you're building a data team

#3

May 13, 2021

Subscribe to Folding Data

View previous newsletters before you subscribe

#41

The next frontier for dbt, launching our open source data-diff & dbt integration, and Data Quality Meetup is back!

#40

dbt + python = ?, ChatGPT & are we out of a job yet, and our virtual hands-on lab!

#39

Contracts vs. handshakes, liberating data, Data Quality Meetup is back

#38

The Airflow problem, learning data through beautiful design, ESports as in Excel

#37

Never get alerts, Never break Hightouch, Never wait for queries

#36

Open sourcing data-diff, why SQL can’t tell you if the chicken or the egg came first, and how Hex continues to become more magical

#35

The American Dream of Analytics Engineers, searching for the perfect DAG, the best data storytellers still use R.

#34

Data observability vs. data quality and why leftists win, A/B testing leads nowhere, events done well go a long way

#33

Data relationships before contracts; data OS contenders

#32

Too much data testing; weird languages that will save us

#31

Data activation and its consequences; BI app-building toolkits

#30

Why is it so hard to do data; at least collecting events doesn't have to be so

#29

Fundamentals for analytics engineering, commoditized ranking, and tested PRs for all

#28

The limits of data observability, excel as the ultimate BI, heuristics that almost always work

#27

Data pipelines = microservices?, the flowering of Supergrain

#26

What I can't be silent about, tools to help... and bold bets in BI

#25

The limits of data observability, excel as the ultimate BI, heuristics that almost always work

#24

Best reads, news, and memes of 2021

#23

Thinking of analytics tools as products, data warehouse vault, and 2021 wins

#22

Iterating on your data team & next-gen data notebook experience

#21

Zillow’s failed $3B bet on ML & metric platforms for the rest of us

#20

Spicy Snowflake benchmarks, a data profiler tool, and what happened at Data Quality Meetup #6

#19

Learning from four years at Databricks, getting good at chess, and a new Airflow killer

#18

Data hype cycles, things to know about being a data scientist, and an upgraded SQL-like language

#17

Data interview prep, animated BI, and beware of SQL bearing gifts

#16

Differences in CI/CD, tracing PII with lineage, and spooky data

#15

The MAD data landscape, making CSVs unboring, and the final data quality meetup of 2021

#14

Redshift's killer from Russia, comp transparency & how Airbnb protects our data

#13

Data science ethics, a de-dupe tool, and the s/z debate continues

#12

Timeseries anomaly detection at scale, learn ML on GitHub, and how top companies manage data quality

#11

Weird languages, cognitive biases and lots of rants on Data Engineering

#10

What is simple for a BI tool, what's wrong with the modern data stack, what we won't miss in data eng

#9

Datafold is SOC 2 compliant, Florence Nightingale was a data nerd, and it may be time to tell someone "no"

#8

The UK Gov't launches a data quality hub, woodland creatures pair w/Kafka, & how to build an OSS data stack

#7

Get "InSight" into Mars, 9 best tools for data quality, and the monster in your data lake

#6

Registrations are now open for our next Data Quality Meetup, plus some cool things in BI and visualization

#5

Find out about a cool new tool for BI, plus a fascinating read on Reforge

#4

Find out about the state of data quality in 2021, plus an interesting read if you're building a data team

#3

Data Science Notebooks, how Lyft, Shopify & Spotify approach data quality, and Reverse ETL