We are excited to announce LocalStack for Snowflake (preview) which enables a high-fidelity, fully local Snowflake experience to develop & test your data pipelines.

New @SnowflakeDB Arctic Embed model!

A 109M model that can do embedding quantization + Matryoshka to go down to 128-byte byte embedding vectors.

https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5

Apache Iceberg is shaping the data warehouse world to be data lake centric. You can use Snowflake to ingest and query Iceberg tables but the integration enables you to use Clickhouse, DuckDB, Spark, BigQuery to be used in combination with Snowflake to save…

Announcing the public preview release of connectors for two leading open source relational databases, PostgreSQL and MySQL.

Note: This tutorial is self-contained, with sample data and scripts provided to ensure you can follow the exercise in your practice…

SNOWFLAKE ASOF JOIN in DWH.DEV IN-QUERY LINEAGE

Not so long ago in dwh.dev we shipped out the ability to examine relationships within your queries. This is…

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A storage lifecycle policy is a schema-level object attached to one or more tables that lets you delete data in compliance

Monthly Snowflake Unofficial Release Notes #New features #Previews #Clients #Behavior Changes

Also leveraging Streamlit and CARTO’s Native App.

Ready to make your chats smarter and your users happier? This was one of our goals at Manychat — the leading chat marketing platform for…

What is the difference between Databricks and Snowflake? A question that gets asked frequently.

Eyes Wide Shut Data Lineage №1: DATA LINEAGE IS A LIE

Data people, I have some bad news for you.

The entire concept of column-level data lineage as you know…

What’s New in Snowflake. A built-in method to distinguish between human users and service users.

Monthly Snowflake Unofficial Release Notes #New features #Previews #Clients #Behavior Changes

Snowpark External Access enables secure connectivity to external networks from Snowpark UDFs. Enhance concurrency in data operations using parallel connections.

Snowflake and Redshift have both published representative samples of real-world queries, and the way people actually use these systems is INTERESTING. The main workload is ingest and transformation!