Scott Teal

@SnowflakeDB Product Marketing, former @Tableau, @UCF Alumnus, former @UCF_Football Long Snapper

[Scott Teal @scottteal]

💯💯💯

[UCF Football @UCF_Football]

Blake relives 2013 season, the Fiesta Bowl, and so much more.

Can’t wait to have the 2013 squad back!

[Scott Teal @scottteal]

@chimerasaurus https://t.co/ashn6vxpCH

[Scott Teal @scottteal]

@Cloudflare @CloudianStorage @Dell @HitachiGlobal @Minio @PureStorage @scality @wasabi_cloud Of course, you can run SQL queries on files like parquet, avro, orc, csv, and json stored in S3-compatible storage using External Tables.

[Scott Teal @scottteal]

You can connect @SnowflakeDB to s3-compatible storage devices to process and query files! Demo by @pm_saurin https://t.co/pvu9XN4Jc8

[Scott Teal @scottteal]

@Cloudflare @CloudianStorage @Dell @HitachiGlobal @Minio @PureStorage @scality @wasabi_cloud Snowflake’s Document AI in private preview isn’t only just for documents in Snowflake. You can do inference on files in these S3-compatible storage devices too!

[Scott Teal @scottteal]

@mim_djo @RonOrtloff @chimerasaurus @SnowflakeDB This demo used an “unmanaged” Iceberg table, so Athena = writer, and Snowflake = reader via Glue catalog integration.

“Managed” Iceberg tables enable read+write from Snowflake, Spark can read like so https://t.co/B6XUeQS9Vy

As the top chart shows, much less perf tradeoff

[Scott Teal @scottteal]

And files are stored in the bucket I provide, which in this case is S3

[Scott Teal @scottteal]

#ApacheSpark reading #ApacheIceberg table created by @SnowflakeDB

An early first step which should give you a sense where we're headed. More to come!

[Scott Teal @scottteal]

@chimerasaurus Dataproc too

[Felipe Hoffa @felipehoffa]

I just published "Snowflake tables on Cloudflare R2".

When replicating data to multiple regions, egress costs can be quite significant. So this is exciting: Now @SnowflakeDB can use @Cloudflare R2 as external storage for tables— featuring 0 egress fees❄️

https://t.co/rf7sW0St8r

[Mim @mim_djo]

1/Excellent presentation how #SnowflakeDB is implementing #ApacheIceberg, TL;DR, the data is saved as parquet in the user Cloud storage, but for efficiency reason, the metadata is generated on the fly when you connect your tool to the Snowflake Catalog
https://t.co/a6ZGg4aUZH

[Python Software Foundation @ThePSF]

Interested in AI and data-led decisions? Check out our latest Success Story to learn how @hyperfinity + @SnowflakeDB are helping businesses use machine learning to make decisions related to areas like smarter supply chains, optimized pricing, and more: https://t.co/dcrYuIuCtZ

[Scott Teal @scottteal]

Neat story of a migration from Hive tables of JSON to Iceberg tables of Parquet at @Shopify

Thanks for sharing, Marc!

https://t.co/owXR245pIG

#ApacheIceberg

[Trino @trinodb]

Today on the Trino blog, we recap the Trino Summit talk from Marc Laforet at @Shopify. He explains why and how Shopify used Trino to migrate from some old, custom, and poorly-optimized table formats to Iceberg, resulting in huge performance improvements.

https://t.co/BjBPb78oPH

[Scott Teal @scottteal]

@SnowflakeDB 💙 Python + @streamlit

[Scott Teal @scottteal]

@rajkrsen @neelesh_salian Similarly, my first thought was a table format like Apache Iceberg if you seek more control and interoperability of files in S3. Of course, that gained control and interoperability comes with the added responsibilities of security and maintenance.

[Scott Teal @scottteal]

@TableauTim @SnowflakeDB @awscloud I love it ❄️
There are far more expert people out there compared to me, like the Snowflake Data Superheroes https://t.co/KqIyWXk2DU

...but if you ever have q's or ideas, let me know! I recently completed the Data Lake Workshop, covers some similar topics https://t.co/dza3mTsfuF

[Scott Teal @scottteal]

But these are just my favorites! There are many more sessions available on-demand, and more streaming live tomorrow
https://t.co/83TmaF0eEl

[Scott Teal @scottteal]

Sharing some personal favs from day 1 of #SnowflakeBUILD (in no particular order)

First, a @felipehoffa sighting! Here's an interesting convo with a few engineering and product leaders across a few different parts of @SnowflakeDB
https://t.co/1rxAWCKXry

[Scott Teal @scottteal]

Last but not least, STREAMING
This session provides a nice overview and use cases for various ingestion methods with Snowflake. There’s also a demo of the Kafka Connector with Snowpipe Streaming
https://t.co/gbx7fjkS9G