Dealing with #Data, #AI and #Automation - The #datasommelier Show- Meetup and Conferences Organizer - Building DATANOSCO
Versailles
Joined July 2008
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Stéphane Heckel retweeted
Jev is the "Internet" moment for the AI industry
It tells your agents and LLMs what to do next, in milliseconds and at almost zero cost
If you set it up correctly, you will have the AI engineer’s stack for 2028
In this article, I show you how
How to perform CSV to Parquet data conversions using the #DuckDB and Quack #n8n community node. @n8n_io + @duckdb from @ducklabs_com =🔥
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#Kestra and #n8n. Yes, they are very different products, even if they often end up in the same “orchestration - automation” category. @kestra_io @n8n_io
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Sometimes, we do not need a full complex #ETL pipeline. Sometimes, a simple copy is enough, but it needs to be extremely fast.
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An alternative to @NotionHQ, #opensource, self-hostable, with structured data capabilities comparable to #Notion tables, and full integration with @n8n_io? -> @b3logos #SiYuan !
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One Platform. One Tool. One Data.
The gradual convergence of transactional and analytical worlds. #OLTP / #OLAP
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Moving from a traditional centralized #BI model to a domain-driven #dataproduct architecture built on @Snowflake
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From Dashboards to Data Agents: The Rise of the #ContextLayer. #datagovernance
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At @Orange, they migrated 200 TB of #data and 850 pipelines in under six months with @duckdb
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Every few months, the #data community rediscovers an old argument: “#ETL is dead, replaced by #ELT.” The claim sounds modern, but in reality, it’s historically inaccurate and technically simplistic.
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The Data Warehouse isn't dead. But it's no longer the default answer. #datamanagement #datalake #dwh #lakehouse #dataintegration
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Windmill.dev is an open souce job orchestration platform challenging established tools like #Airflow in the #data ecosystem.
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The #dataengineering world has long been split between the one who prefer standardized GUI-based tools like @Fivetran and the engineering teams who want the flexibility of #Python @dltHub
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Have you heard about Lance and @lancedb? If you are working on AI workloads, you’ll surely see these names more and more in conversations about #datainfrastructure.
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Build your AI Assistant with OpenClaw. The #TinyStaff project !
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The merger of @Fivetran and @dbt_labs confirms a trend that @starlake_ai anticipated from its inception: data loading and transformation are inseparable.
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Much like in Paris, the #data conversation never stops in New York ! Check the meetups. @cloudera @lancedb @CloudflareDev @BrooklynData @microsoft @confluentinc #ryft @EstuaryDev @motherduck
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From Data Platform, to Modern Data Stack, to Data Platform Again. The evolution of data infrastructure over the past three decades reflects cycles of integration and specialization, shaped by technology advances and changing enterprise needs.
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