Looks like a fascinating set of talks at @coalesceconf #dbtcoalesce next week. I'll be firing up my 56k modem and dialling in for several of them including:
Keynote: The End of the Road for The Modern Data Stack You Know, from @jthandy and @margaretfrancis

coalesce.getdbt.com/agenda/keynote…
Intentional learning: How and why you should learn Data Jawn, from @notamyfromdbt

I loved chatting to Amy at #Current22 and I also need to find out what a Jawn is :D

coalesce.getdbt.com/agenda/intenti…
Money, Python, and the Holy Grail: Designing Operational Data Models, from @bennstancil

I realise I'm at risk of being a total fanboi, but Benn's talk at #Current22 was great and with a punny title like this how can I not put this on my agenda :)

coalesce.getdbt.com/agenda/money-p…
Babies and bathwater: Is Kimball still relevant?

Particularly looking forward to this talk from @JayPeeDevlin and Sydney Burns, since a few years ago this wouldn't even have been a discussion so see how things have changed

coalesce.getdbt.com/agenda/babies-…
The return on analytics engineering, with @DSJayatillake

I'm a big fan of David's substack newsletter, and keen to hear him speak

coalesce.getdbt.com/agenda/the-ret…
Extend the runway: A deep dive into data warehouse costs, from @jtalms and @ianwhitestone

coalesce.getdbt.com/agenda/extend-…
Demystifying event streams: Transforming events into tables with dbt, from Charlie Summers

I'm always interested to hear more about the intersection of event streams and the rest of the data world :)

coalesce.getdbt.com/agenda/demysti…
You can register for free to attend #dbtcoalesce @coalesceconf online here: coalesce.getdbt.com/register

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More from @rmoff

Oct 5
Can’t wait for this panel discussion at #current22 with ⁦@takidau⁩ ⁦@notamyfromdbt⁩ ⁦@krisajenkins⁩ ⁦@AdiPolak⁩ ⁦@esammer⁩ - it’s gonna be awesome!
(and it’s being live-streamed - make sure you tune in!) Image
Are we going to have batch and streaming forever, or will they converge? @esammer says at the heart of systems lambda arch will go away and kappa will eventually win out. Once in DW perhaps batch will remain for its familiarity to analytics engineers. Image
@notamyfromdbt - Microbatching gets used to simulate streaming but with same toolset for familiarity, but it doesn’t scale
Read 6 tweets
Oct 5
#Current22 @AdiPolak talking about chaos engineering Image
A scary list of all the things that could go wrong with data flows #Current22 Image
“Disagree and commit” h/t @matryer #Current22 Image
Read 20 tweets
Oct 5
Apparently data people are really boring people, so the hype around big data dying down fitted well #current22 Image
The most boring diagram in IT. We’ve standardised the tooling around all this (except BI) #current22 Image
Fivetran, dbt, snowflake are the boring defaults #Current22 Image
Read 20 tweets
Oct 5
#Current22 @bennstancil talks about the end of big data industrial complex Image
Benn got into big data in 2012 at Yammer, right at the beginning of the hype
Recounts the story of Target using data science to send coupons to customers who were determined to be pregnant based on purchasing habits
Read 6 tweets
Oct 5
“A lot of the time you don’t need real time” *gasp* #current22
“A lot of the Modern Data Stack is marketing bullshit” #current22

OMG I love this talk Image
ELT vs ETL
#current22 Image
Read 17 tweets
Oct 5
Dan Sotolongo at #current22: RDBMS and SQL have stood the test of time. Sets the scene for stream processing by covering core concepts of tables and steams ImageImage
#current22 handling event time joins in SQL using functions. Image
The next problem is making sure we have all the data. It’s watermarks, but not really

#Current22 Image
Read 11 tweets

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