Robin Moffatt 🍻🏃🥓 Profile picture
Oct 5, 2022 20 tweets 10 min read Read on X
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
FiveTran is boring, but simple. And it’s what people use. Image
Databricks and snowflake came to market in different ways. Snowflake has the mindshare. #current22 Image
Community search results in dbt - snowflake is 10x more popular. Community matters! #current22 Image
Why is snowflake successful? Databricks sells shiny technology. Snowflake is faster and cheaper. #current22 ImageImage
Airflow for transformation. Powerful but complex. Dbt just uses sql. Kinda boring. #current22 ImageImage
Making big data actually work.

#current22 Image
Faster internet with cable, faster web browsers with chrome, faster video editing with TikTok - all things people were already doing, but faster. Enabled new use cases that people hadn’t thought of. #current22
Because it’s easy to get data in from asana etc, Mode build reports against it. If it wasn’t easy, they wouldn’t. #current22 Image
The elephant in the room at a data streaming conference… where is the streaming in this? #current22 Image
There just aren’t a lot of use cases for streaming. We’re not Uber, Google, amex, etc. We’re the 99% ImageImage
Echoes of Strata at #current22 with its agenda based on technology for technology’s sake Image
Let’s make streaming boring. Forget the fancy use cases. Let’s just make it easy. #Current22 Image
@bennstancil is hitting the nail on the head here. Streaming will get adoption when it’s easy and boring and let’s us do what we’re doing already but just faster. It’s not about the technology. #current22
#current22 boring is what sells Image
Loved this talk from @bennstancil. Make sure you check out his newsletter at benn.substack.com

#Current22

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More from @rmoff

Mar 29, 2023
Gosh, I'd forgotten the pleasures and pains of abstract review for a conference. Pet peeves this morning:

☠️ Vendors submitting piss-poor product pitch abstracts. It doesn't take a genius to see through your abstract and look you up on LinkedIn to put 2 and 2 together. (1/n)
If you're a vendor, be open about your talk and its content. Pitching per se is not evil, but trying to hide it is. If you have useful things to say then perhaps your talk will be useful for the confernce. But be up front and honest about it. (2/n)
☠️ DAs with piss-poor abstracts. This is *literally your job*. Either bring it, or GTFO.
There are so many resources out there to help with writing abstracts (and hey, DM me and *I'll* help too, srsly), but you cannot just phone it in. It looks bad on you, and your company (3/n)
Read 4 tweets
Oct 19, 2022
Big strategic decisions that a data team helps a company make #coalesceConf a couple of men sitting at ...graphical user interface, a...
Although… you can give all the data you want and sometimes it'll still get ignored graphical user interface, t...
"Shout out Indiana Jones…Fuck the Nazis" #coalesceConf Image
Read 16 tweets
Oct 19, 2022
.@bennstancil's talk at @coalesceConf is starting!
@bennstancil @coalesceconf It's hard to measure the success of a data team #coalesceConf
that can be fine when the economy is fine, but as things get tough you end up with tough questions #coalesceConf
Read 4 tweets
Oct 19, 2022
So does @MySQL Heatwave "Lakehouse" actually act as a lakehouse as defined elsewhere and write *back* to object storage through a table format? Or it's just MySQL that can also query data that's on object storage? The latter is cool of course, but the naming is puzzling me.
The press release is unclear, other than in the fact that OMG OUR BENCHMARK SHOWED WE ARE FASTER, WHO'DA THUNK IT?!! oracle.com/news/announcem…
The technical brief (oracle.com/a/ocom/docs/my…) makes note of "the HeatWave internal format" for working with external data. There's lots of mention of CSV and Parquet and magic fairies^H^H^H^H^H^H^Hmachine learning to guess at schemas.
Read 5 tweets
Oct 19, 2022
Audience feedback at conference talks is *really* useful for speakers and organisers. It lets speakers understand what they're doing well (and perhaps what they're not). It helps organisers gauge the direction of content (more of this, less of that).
Reading these this morning makes me very proud of all the speakers at #Current22 😁
There's also some fair criticism in there that's great feedback to work with speakers and the program committee on
Read 4 tweets
Oct 11, 2022
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…
Read 9 tweets

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