“There are no Avro or JSON files. There is no additional catalog server or additional API to integrate with. It’s all just SQL.“
That said, choose your catalog database — a single-point of failure — *very carefully*.
“There are no Avro or JSON files. There is no additional catalog server or additional API to integrate with. It’s all just SQL.“
That said, choose your catalog database — a single-point of failure — *very carefully*.
@mehdio.com and @medriscoll.com from @rilldata.com are diving into how GenAI is reshaping BI-as-code — from idea to implementation.
This one’s for data folks who want to see beyond the hype.
Register : lu.ma/w4ncmttn
@mehdio.com and @medriscoll.com from @rilldata.com are diving into how GenAI is reshaping BI-as-code — from idea to implementation.
This one’s for data folks who want to see beyond the hype.
Register : lu.ma/w4ncmttn
Next week after Data Council, join the founders of @clickhouse.com, @motherduck.com, @startreedata.bsky.social, and @tobikodata.com to talk real-time databases and next-generation ETL.
www.rilldata.com/events/data-...
Next week after Data Council, join the founders of @clickhouse.com, @motherduck.com, @startreedata.bsky.social, and @tobikodata.com to talk real-time databases and next-generation ETL.
www.rilldata.com/events/data-...
www.rilldata.com/blog/kishore...
I was wrong.
The truth is even dumber.
🧵
I was wrong.
The truth is even dumber.
🧵
You may have started with a simple ETL pipeline and crunched critical business logic into useful dashboards, but speed and scale didn't grow with data at some point, and it's the concurrent user.
✨ Below are some highlights from the article.
You may have started with a simple ETL pipeline and crunched critical business logic into useful dashboards, but speed and scale didn't grow with data at some point, and it's the concurrent user.
✨ Below are some highlights from the article.
rmoff.net/2025/02/28/e...
#dataBS
rmoff.net/2025/02/28/e...
#dataBS
A brief history of software’s longest-lived and most-loved data tool, from Lotus 1-2-3 and Excel to QlikView and PowerBI, by @ssp.sh
www.rilldata.com/blog/why-piv...
A brief history of software’s longest-lived and most-loved data tool, from Lotus 1-2-3 and Excel to QlikView and PowerBI, by @ssp.sh
www.rilldata.com/blog/why-piv...
In about 20 minutes I'll be sharing some work we've been doing at @rilldata.com on metrics-layer-powered dashboards. And speculating in my last slide, because why not, about what you would name an AI agent that runs on DuckDB... 🦆
In about 20 minutes I'll be sharing some work we've been doing at @rilldata.com on metrics-layer-powered dashboards. And speculating in my last slide, because why not, about what you would name an AI agent that runs on DuckDB... 🦆
The stream will be available without registration.
The stream will be available without registration.
We'll be tracing their lineage and evolution across Visicalc, Lotus, Excel, PowerPivot, Qlik, and PowerBI.
Any sites, videos, products (dead or alive) that you would recommend we should mention or dig into?
We'll be tracing their lineage and evolution across Visicalc, Lotus, Excel, PowerPivot, Qlik, and PowerBI.
Any sites, videos, products (dead or alive) that you would recommend we should mention or dig into?
Google, WhatsApp, and ChatGPT would all fail if you added just 10 seconds to every search, message, or prompt interaction.
We are surrounded by fast user experiences and yet most of us tolerate business dashboards that take minutes to load.
Google, WhatsApp, and ChatGPT would all fail if you added just 10 seconds to every search, message, or prompt interaction.
We are surrounded by fast user experiences and yet most of us tolerate business dashboards that take minutes to load.
I hoped the analogies stopped there, but sadly maybe not.
I hoped the analogies stopped there, but sadly maybe not.
Talked about:
> My journey (DE ↠ Author)
> Bluesky🦋, DuckDB, S3, data modeling & declarative stacks
> What do you call data people?
🎙️ youtu.be/xW_HGb46xMk
Talked about:
> My journey (DE ↠ Author)
> Bluesky🦋, DuckDB, S3, data modeling & declarative stacks
> What do you call data people?
🎙️ youtu.be/xW_HGb46xMk
Parquet is obviously better than CSV because of its stronger types, efficient compression, and support for predicate pushdown.
But given CSV is *everywhere*, these improvements are welcome.
duckdb.org/2024/12/05/c...
Parquet is obviously better than CSV because of its stronger types, efficient compression, and support for predicate pushdown.
But given CSV is *everywhere*, these improvements are welcome.
duckdb.org/2024/12/05/c...
www.sfchronicle.com/bayarea/arti...
www.sfchronicle.com/bayarea/arti...