#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
Big data was going to solve all our problems ImageImage
Big data became about the technology and the excitement before it all just tailed off #Current22 ImageImage
Instead of Tom Cruise in Minority Report we just got a bunch of crappy dashboards Image

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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
“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
Sep 8
Having watched @gwenshap and @ozkatz100 talk about "git for data" I would definitely say is a serious idea.
However to the point at the end of the video, RTFM—it took reading docs.lakefs.io/using_lakefs/d… and some other pages subsequently to really grok the concept in practice.
Where I struggled at first with the git analogy alone was that data changes, and I couldn't see how branch/merge fitted into that outside of the idea of branching for throwaway testing alone. The 1PB accident was useful for illustrating the latter point for sure.
But then reading docs.lakefs.io/understand/roa… made me realise that I was thinking about the whole thing from a streaming PoV—when actually the idea of running a batch against a branch with a hook to validate and then merge is a freakin awesome idea
Read 6 tweets

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