Tower.dev
@tower.dev
π€ 44
π₯ 13
π 11
Effortless data infrastructure for your product.
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
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How a-Gnostics Improved Electricity Consumption Forecasts with a Faster and More Cost-Effective Weather Service and Tower.dev β SoftElegance's Blog
https://blog.softelegance.com/a-gnostics/how-a-gnostics-improved-electricity-consumption-forecasts-with-a-faster-and-more-cost-effective-weather-service-and-tower-dev/
10 months ago
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Happy to serve!
add a skeleton here at some point
about 1 year ago
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Amen, data brother
add a skeleton here at some point
about 1 year ago
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reposted by
Tower.dev
Serhii Sokolenko
about 1 year ago
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...
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reposted by
Tower.dev
Chris
about 1 year ago
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.
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Tower
Hassle-free Platform for Data Scientists and Engineers, offering open data storage and compute for Pythonic Pipelines, Apps, and AI inference.
https://tower.dev/
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reposted by
Tower.dev
Serhii Sokolenko
about 1 year ago
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...
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reposted by
Tower.dev
Serhii Sokolenko
about 1 year ago
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...
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We tried it out and wrote our review!
@motherduck.com
build a local UI for
@duckdb.org
add a skeleton here at some point
about 1 year ago
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reposted by
Tower.dev
Serhii Sokolenko
about 1 year ago
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...
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reposted by
Tower.dev
Serhii Sokolenko
over 1 year ago
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...
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Our founder
@datancoff.ee
has something to say about using Python-only tools to read/write to an Iceberg open lakehouse.
add a skeleton here at some point
over 1 year ago
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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-...
over 1 year ago
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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
add a skeleton here at some point
over 1 year ago
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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...
over 1 year ago
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reposted by
Tower.dev
Adrian Brudaru
over 1 year ago
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
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10x data engineer with dlt+ and Tower: A Taktile Case Study
https://dlthub.com/blog/tower
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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
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The 10x data team at Taktile, enabled by Tower and dltHub
YouTube video by Tower
https://youtu.be/aiKyeo6ZeBA
over 1 year ago
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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
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Tower
Run Python data apps securely in production
https://tower.dev/
over 1 year ago
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