Fact: the best data warehouse is a #Lakehouse pic.twitter.com/xp90Sqk9QD
— Databricks (@databricks) 10 août 2023
Fact: the best data warehouse is a #Lakehouse
@databricks
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Best Data Warehouse Architecture: Lakehouse Model
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DoorDash Builds Self-Serve Data Lake with Delta Lake
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@DoorDash used #DeltaLake to build a self-serve, read-optimized data lake with data latencies of 15, all while reducing operational overhead. Learn how https://
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Databricks Launches Redesigned UI with Enhanced Navigation Features
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#ICYMI: Databricks UI is new and improved You’ll find: A single home page for your most common tasks A redesigned sidebar with added focus on features global search for all your workplace objects Get the details here https://
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MLflow AI Gateway enables scalable LLM management preview
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Introducing the #MLflow #AI Gateway! Now in preview, this highly-scalable gateway that enables organizations to manage their LLMs and make them available for experimentation + production use cases. Learn more! https://
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Databricks Named Number 2 Forbes Cloud100 List
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We’re thrilled to be named #2 on the 2023 @forbes #Cloud100 — a list of the world’s best private cloud companies! One key trend? “This year, AI is everywhere.” https://
dbricks.co/3OpPvnS -
Meta Launches Llama 2 Open Source Generative AI Model
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Meta's Llama 2 is a huge moment for open source AI! The newest models can both accelerate LLM research and help enterprises build and own #generativeAI applications.
We're thrilled to be a launch partner – come give Llama and Databricks a try! https://
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Databricks Assistant: Enterprise AI Tool Recognition
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Hey! That’s us! Glad you think Databricks Assistant is as awesome as we do
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Master Generative AI Fundamentals and LLM Skills Today
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#LLMs are all the rage so it’s important to level up your #generativeAI skills. Our Generative #AI Fundamentals on-demand training will teach you how to harness this new transformative technology successfully https://
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Building Metrics for DevOps DataOps MLOps Data Ecosystems
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You’ve built a solid #data ecosystem for your organization — now, let’s fire it up Move to producing and tracking metrics for robust data sets across #DevOps, #DataOps, and #MLOps in this part of The Executive’s Guide to Data, Analytics, and #AI https://
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Lakehouse Monitoring: Unified Data and ML Asset Quality Control
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#Lakehouse Monitoring offers a unified service to monitor the quality of your data and #ML assets. Check out this demo to learn how to: Diagnose errors in your projects Set up a monitor with low friction Enable self-serve experiences & more https://
bit.ly/44Si3xa