The top AI talent is concentrated at these 9 companies per SignalFire

- OpenAI
- Anthropic
- MosaicML (now part of DataBricks)
- Cohere
- AI21 Labs
- Hugging Face
- Stability AI
- Midjourney
- Inflection (now part of Microsoft)

Breaking into data engineering can feel complicated and overwhelming!

You need to learn the languages of the trade SQL and Python.

You need to learn the tools of the trade Spark,BigQuery, Airflow, Databricks, etc.

Then you need to show that you actually know this stuff!

I go

Building my dreams brick by brick Databricks

👀 Just a reminder for folks looking for a unified platform in the Microsoft data and AI tooling that automatically captures column level lineage at job and query runtime (including columns used in ML model to predict a value downstream!), Azure Databricks has you covered. 💪

Hiçbir yapay zeka modelinin bir kerede yapamadığını yep yeni yapay zeka modeli DBRX yaptı. #dbrx #databricks #yapayzeka #ai #snakegame

Does anyone use/ have any idea about azure databricks with terraform???

Pls rt!!

Day got better 😁 #databricks #DataIntelligenceDays

Full house for NYC Systems! Phil Eaton‘s community of the best and brightest minds in complex IT systems ✨ talks from Neil Ramaswamy on streaming SQL Databricks and social:x#tweet@user:jimmy on building a powerful permissions DB with k8s authzed 🚀

According to SignalFire, the leading AI talent is clustered at these 9 companies:

- OpenAI
- Anthropic
- MosaicML (acquired by DataBricks)
- Cohere
- AI21 Labs
- Hugging Face
- Stability AI
- Midjourney
- Inflection (acquired by Microsoft)

Ah, let me add Databricks to my certification list.

Thinking the Data Engineer and ML Engineer associates will be good

TEAM CYMRU's X. Databricks. MIT's OpenCourseware.

1. 有什么问题，都可以问它。

→ 选择Databricks的DBRX模型
→ 提问
→ 帮您完成任务

Awesome release, congrats AI at Meta, and excited that Databricks is a launch partner!

I guess it is official now, #DuckDB is adding support to #Deltalake
databricks.com/dataaisummit/s…

As many of you know, I have long been an advocate for Apache Spark and Databricks. Having conducted extensive work and authored two books on the subject in my previous life, it's exciting to see our paths seem to converge once again at the intersection of Data and AI. I believe

جبتلكوا ETL Guide حلو جدا لسة نازل من O'reilly حوالي ١٠٠ صفحة ملخص حاجات كتير عن ال ETL
بيتكلم عن اكتر ٥ حاجات اساسية في اي ETL
Data Ingestion
Data Transformation
Data Orchestration
Pipeline troubleshooting
Efficiency and scalability
ممكن تنزلوه فري من Databricks

what do you use databricks for? like data is not a good building tool, and how do you even get it into brick form

👀 Just a reminder for folks looking for a unified platform in the Microsoft data and AI tooling that injects #GenAI into the background to automatically generate column and table descriptions for governed data, Azure Databricks has you covered. 💪

unstructured 官方提供了三个示例，并提供完整的代码：

1. 处理数据并写入向量库：github.com/Unstructured-I…
2. 将数据处理之后存入 Databricks 的 Delta Table：unstructured-io.github.io/unstructured/e…
3. 多文件处理：unstructured-io.github.io/unstructured/e…