dltHub (@dlthub) 's Twitter Profile
dltHub

@dlthub

dltHub is the creator of data load tool (dlt)

ID: 1593281788058734594

linkhttps://dlthub.com/docs/intro?utm_source=twl&utm_campaign=tw-campaign calendar_today17-11-2022 16:37:25

143 Tweet

309 Followers

19 Following

dltHub (@dlthub) 's Twitter Profile Photo

Why is Pandas not enough for production ETL? ML people and data engineers might disagree. Follow this link to watch our Europython talk, which is part of a day-long video of the room youtube.com/watch?v=vfmS8uā€¦ Slides: docs.google.com/presentation/dā€¦

dltHub (@dlthub) 's Twitter Profile Photo

Are you using Airbyte but are dissatisfied with limitations? Consider switching to dlt for better scalability, speed, resilience, troubleshooting. dlthub.com/blog/airbyte-tā€¦ Read more why the reddit data engineering community prefers dlt to airbyte here: reddit.com/r/dataengineerā€¦

dltHub (@dlthub) 's Twitter Profile Photo

Hey folks, remember Martin Salo's solution that was 10x faster 182x cheaper than Fivetran replacement with Modal+dlt? dlthub.com/blog/replacingā€¦ Well Modal turned this success into a recipe you can all follow Check it out! modal.com/blog/analyticsā€¦

dltHub (@dlthub) 's Twitter Profile Photo

Join dlt's Python ELT with dlt: Zero to hero workshop. Complete with certification, you will learn how to load data like a senior data engineer. Sign up for the run starting this week! dlthub.com/events

Join dlt's Python ELT with dlt: Zero to hero workshop. Complete with certification, you will learn how to load data like a senior data engineer.

Sign up for the run starting this week!

dlthub.com/events
MatthƤus Krzykowski (@matthausk) 's Twitter Profile Photo

šŸš€ Big News! We dltHub are releasing dlt 1.0 and celebrating 1,000+ OSS customers in production! šŸš€ dlt, our open-source Python library for seamless data movement is now stable, production-ready, and trusted by companies of all sizes. linkedin.com/posts/matthausā€¦

dltHub (@dlthub) 's Twitter Profile Photo

Join our GDPR Webinar this Thursday to learn compliance for data engineers! You'll learn a lot and there will also be some digital freebies such a dlt cheatsheet for getting complaint and a compliance checklist :) Sign up here: dlthub.com/events

Join our GDPR Webinar this Thursday to learn compliance for data engineers!

You'll learn a lot and there will also be some digital freebies such a dlt cheatsheet for getting complaint and a compliance checklist :)

Sign up here: dlthub.com/events
dltHub (@dlthub) 's Twitter Profile Photo

Application vendors: "we will add AI to our products" OSS: libs "we will add our products to ai" Prompt credit: Mehdi Ouazza lnkd.in/emD-3PSX

Application vendors: "we will add AI to our products"
OSS: libs "we will add our products to ai"

Prompt credit: Mehdi Ouazza
lnkd.in/emD-3PSX
dltHub (@dlthub) 's Twitter Profile Photo

Open Tables and Open Compute. Every day we see more adoption. dlt recently added Delta Tables support to enable PostHogs Delta + Clickhouse stack. You can leverage it too! Read more about it in the case study here: dlthub.com/case-studies/pā€¦

dltHub (@dlthub) 's Twitter Profile Photo

Do you like Metabase? We like to use metabase because it's open source and respectful of our time. Its simplicity makes it a joy to get our questions answered quickly.Ā  Turns out, Metabase likes dlt too,Ā  metabase.com/blog/how-we-enā€¦

dltHub (@dlthub) 's Twitter Profile Photo

dlt-SQLMesh generator: A case of metadata handover With this integration, incremental models can be automatically generated in SQLMesh based on dlt metadata dlthub.com/blog/sqlmesh-dā€¦

Tobiko Data (@tobikodata) 's Twitter Profile Photo

Tired of messy data pipelines? šŸ„¹šŸ«£ Check out the SQLMesh + dltHub integration for seamless metadata handovers, faster scaffolding, and incremental processing. šŸ’» Simplify your data workflows! šŸ”— tobikodata.com/integrated-datā€¦ #DataEngineering #DataPipelines

Tired of messy data pipelines? šŸ„¹šŸ«£

Check out the <a href="/SQLMesh/">SQLMesh</a> + <a href="/dltHub/">dltHub</a> integration for seamless metadata handovers, faster scaffolding, and incremental processing. šŸ’»

Simplify your data workflows! šŸ”—
tobikodata.com/integrated-datā€¦

#DataEngineering #DataPipelines
Chris Riccomini (@criccomini) 's Twitter Profile Photo

Been hearing a lot of good things about dltHub. Integrating ETL into ML/AI/analytics engineer tool chains is a neat idea. materializedview.io/p/small-batch-ā€¦

dltHub (@dlthub) 's Twitter Profile Photo

Data Engineers, are you tired of wrestling with vendor lock-ins and convoluted data lake setups? šŸ˜“ It's time we take control back. Join me in a hands-on Portable Data Lake Workshop where we'll build a functional, vendor-agnostic data lake. community.dlthub.com/portable_datalā€¦

dltHub (@dlthub) 's Twitter Profile Photo

dlt just added 30+ more destinations (via SQLAlchemy) MySQL, SQLite, Oracle Database, MongoDB, Cassandra, Elasticsearch, Redis, Apache Hive, Teradata, IBM Db2, Apache HBase, Firebase Realtime Database, DynamoDB, MariaDB, CockroachDB, Vertica.. see here: dlthub.com/docs/dlt-ecosyā€¦