🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Want to scale cognify processing across multiple containers? In this video, Laszlo Hajdu shows how to deploy cognee at scale using Modal - making it easy to manage, connect, and optimize AI knowledge graphs. - What is cognee? (in case you still don’t know) - How do

Data teams using dlt often build declarative pipeline interfaces to enable low-code collaboration. So we created dlt+ Project, expanding this concept into a full collaboration interface. 🚀 🔗 Read more: dlthub.com/blog/project 👀 Join early access: info.dlthub.com/waiting-list

dltHub built a custom AI code assistant that helps you create and maintain dlt pipelines. We are particularly excited about their MCP server block, which brings in context about your pipeline runs, database tables, and more Check out their blog post below 🛠️

🚀 In the last 6 months we have seen early adopters in the dltHub adopt AI code editors such as Cursor. Check out our initial assistants + building blocks such as Anthropic MCP servers for dlt on the recently launched hub.continue.dev/dlthub from Continue 🚀

Managed cloud databases markup compute by 35-70x. It was fine when humans ran queries. AI doesn’t need coddling. Iceberg lets you: ✅ Run queries anywhere ✅ Cut insane compute costs ✅ Keep control over your data It’s your budget. Stop setting it on fire. dlthub.com/blog/iceberg-o…

How do you run dlt on #Airflow? #dataengineering selectstarfrom.substack.com/p/how-to-run-d…

Space is limited, so the workshops are first-come-first-served. But step one is securing your ticket to the in-person #icebergSummit. 👇 icebergsummit2025.com/?utm_medium=so…

Vibe coding EL - we'll explore what's possible so you can jump straight to the working stuff dlthub.com/blog/convert-a…

GPT pushing vibe coding

LLMs tried to write code for you but saw the docs and went "nah" We explore a benchmark on pipeline creation 🔹 Split the problem: memory / extraction / code 🔹 3 fails, all doc-related More: dlthub.com/blog/towards-g…

Loved the energy around Apache Iceberg at the Amsterdam meetup. At dltHub, we’re focused on making Iceberg actually usable—modernizing legacy stacks with auto-ingestion, schema handling, and pipeline orchestration. Get in touch, or read more: linkedin.com/feed/update/ur…

1/ There are an overwhelming number of options for data engineering today. Here's today's choices at Open Source Observer : For cloud infrastructure: Google Cloud For data orchestration: Dagster For data transformations: SQLMesh For data ingest: dltHub For data lake tables:

5/ By relying on dbt+BigQuery for the core data pipeline, we switched our focus to improving our data ingest, data serving, and data orchestration infrastructure. So far, we've been really happy with our choices. dltHub makes moving data in/out of the data lake super easy

- dltHub for ingestion into SnowflakeDB (Bronze layer of our DWH) - dbt for transformations (Bronze → Silver) - Microsoft Power BI for dashboards - Apache Airflow for orchestration - Docker & Docker Compose for infrastructure

6 months ago, we dltHub were celebrating 1,000 open-source users. Today, we're are thrilled to announce another milestone: Now over 3,000 companies are running dlt in production. On top of that, monthly dlt downloads have surged past 1.4 million on PyPI. dlthub.com/blog/our-3000t…

In SF next Tuesday? Come hack the future of AI at GitHub HQ. Join us May 27 for Hack Night at GitHub — an evening of lightning talks, live demos, and hands-on AI hacking with Weaviate, dltHub, FriendliAI, Continue, and more. lu.ma/hacknight-at-g…

Are you still fixing EL pipelines, thinking what went wrong this time? Our colleague Aman shares how he reduces his cognitive load by letting Cursor and dlt do the heavy lifting dlthub.com/blog/dlt-and-c…

Super happy I had a chance to be at Github office last week and show how to vibecode a data pipeline with dltHub and cognee

Stack: * DuckDB + DuckLake * Postgres (Supabase) * dltHub for ingress * Google Cloud for storage

hot out of the oven, and right into the experiment backlog