Accurate β‘ electricity consumption forecasts require up-to-date π‘οΈ weather βοΈ forecasts. a-Gnostics provides forecasts for Europe and North America with a focus on key energy markets.
Migrating to Tower didnβt just streamline their infrastructure, it gave them a competitive edge.
bit.ly/4oAgezy
Posts by Tower.dev
Happy to serve!
Amen, data brother
π¨ New Features Monday!
1οΈβ£ Support for Iceberg Catalogs inside Tower apps
2οΈβ£ Tower SDK with Tower Tables, probably the simplest way to read and write to Iceberg tables from Python code
βpip install towerβ installs both the Tower CLI and the SDK including Tables.
tower.dev/blog/launchi...
I am pretty excited about @tower.dev (as a user, not just an investor :). I have long suffered at the hands of both the Docker and Python ecosystems. Tower solves both.
Plus, it play nicely with scheduling, orchestration, and open table formats! If you're working with Python, you should try it.
A few weeks ago, we demoed Tower.dev at the AI Launchpad stage of the Data Council. Several dozen prospect conversations later, I finally had the time to post some pictures and the most memorable moments from that week.
tower.dev/blog/ai-laun...
The @tower.dev team went to the Iceberg Summit and came back with 7 takeaways from 7 Iceberg user talks from Airbnb, Bloomberg, Pinterest, Wise, Autodesk, Mediaset (Bauplan), and Slack. tower.dev/blog/seven-t...
We tried it out and wrote our review! @motherduck.com build a local UI for @duckdb.org
Teaching 5 teammates how to fish is better than owning 5 fishing rods. It's true for fishermen. It's also true for data engineers.
Tower.dev's Teams let your teammates self-serve their change requests, while you get back time to work on strategic projects
tower.dev/blog/turning...
AI coding assistants like Cursor are not the 10x productivity boosters for data engineers and not their replacements, as some talking heads claim. But they can be 10x multipliers for another group of folks - the π customers of π· data engineers! tower.dev/blog/ai-auto...
Our founder @datancoff.ee has something to say about using Python-only tools to read/write to an Iceberg open lakehouse.
Snowflakes are falling on an iceberg while narwhales are waiting for their moment
Take a read of this 1οΈβ£ 2οΈβ£ 3οΈβ£ step-by-step guide for setting up an Iceberg catalog using Snowflake Open Catalog.
ποΈ Tomorrow's post will be about using π§Έ Polars & π PyArrow to write/query an open β΄οΈ lakehouse using the said Iceberg catalog!
tower.dev/blog/how-to-...
Snowflake Open Catalog is ultimately declared the winner of that evaluation and compared on:
1οΈβ£ Ease of Onboarding
2οΈβ£ Governance
3οΈβ£ Managed Service
4οΈβ£ Ease of Offboarding
5οΈβ£ Feature Roadmap
In the process of answering this fundamental question, @datancoff.ee looks at managed and unmanaged Iceberg catalogs:
βοΈ Snowflake-native and Snowflake Open Catalog
βοΈ Apache Polaris
π₯ Apache Gravitino
π£ββοΈ Lakekeeper
π€ Unity Catalog from Databricks
π AWS Glue
π¦ Dremio & Nessie
π Hive Metastore
Our co-founder @datancoff.ee is wondering whether Python can compete with DuckDB and Spark as the "query engine" for Iceberg open lakehouses. Can it?
tower.dev/blog/buildin...
Docker for data?
If you go to a docker conference you will hear "portability" "fast onboarding" "lower cognitive load" "implicit access" "microservices" "decentralisation"
Who does this for data?
check out these 2 new products in the space:
dlthub.com/blog/tower
π The 10x data team at Taktile
How Taktile used Tower & dltHub to enable everyone in the org to contribute to high-quality data sets.
βTower is like Docker, Dagster, and Jenkins having a baby π³+ π+ π€΅πΌββοΈ = πβ
β Simon Rosenberger, Head of Data @ Taktile
π Watch: youtu.be/aiKyeo6ZeBA
Tower is for Python devs struggling to get their apps to run reliably in production. It offers:
π Smooth local dev > cloud prod moves
π Deep integration with dltHub & others
π₯ Declarative app packaging
π Run pipeline templates with parameters
π Securely share credentials
Beta waitlist @ tower.dev