Data1984 – Telegram
Data1984
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This channel is mostly about data related stuff, some of the main topics are #DataEngineering #SQL #Python #cloud .

Contact: @gorros
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While US markets are panicking you can try to play with DeepSeek by installing it locally or using Cursor, it is already available there.
https://dev.to/lunaticprogrammer/using-deepseek-r1-in-visual-studio-code-for-free-2279
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Guess this is a thing now 😁 And probably the most popular way of using AI for coding
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MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
https://github.com/punkpeye/awesome-mcp-servers
A great article to catch up with the recent industry developments related to Iceberg and its adoption.
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Introducing Apache Spark 4.0 | Databricks Blog
https://www.databricks.com/blog/introducing-apache-spark-40
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I assume you came across these lists from Microsoft, if not here is the link. In summary, we can interpret it as AI "replicability" and "resiliency". I personally think we will be surprised in 5 years. With regards to data engineering I was wondering if DE will get replaced first or DS as mentioned in the list. We kinda do "plumbing" for data 😉
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