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    Categories>Building BigQuery SQL Agents in Microsoft Copilot

    Building BigQuery SQL Agents in Microsoft Copilot

    22 min
    |
    6 источников
    |
    18 мар. 2026 г.

    Learn to create intelligent SQL agents that understand your department's data schemas and generate contextual BigQuery code through Microsoft Copilot integration.

    Building BigQuery SQL Agents in Microsoft Copilot

    Лучшая цитата из Building BigQuery SQL Agents in Microsoft Copilot

    “

    We're essentially teaching the AI to think like a data analyst who's been working with our specific datasets for years, bridging the gap between business questions and technical SQL execution.

    ”

    Этот аудиоурок был создан участником сообщества BeFreed

    Вопрос для ввода

    Creating a bigquery SQL agent in Microsoft co pilot which can create code using the data schema of key files used in my department.

    Голоса ведущих
    Lenaplay
    Eliplay
    Источники знаний
    Creating a bigquery SQL agent in Microsoft co pilot which can create code using the data schema of key files used in my department.
    link
    https://example.com
    Designing Data-Intensive Applications
    What Is ChatGPT Doing ... and Why Does It Work?
    Keras Reinforcement Learning Projects
    Writing High-Performance .NET Code
    Artificial Intelligence and Generative AI for Beginners

    Создано выпускниками Колумбийского университета в Сан-Франциско

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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

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    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

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    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

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    "The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

    @Leo, Law Student, UPenn
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    483

    "Makes me feel smarter every time before going to work"

    @Cashflowbubu
    platform
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    "Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

    @Moemenn
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    "I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

    @Chloe, Solo founder, LA
    platform
    comments
    12
    likes
    117

    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

    @Raaaaaachelw
    platform
    star
    star
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    star
    star

    "Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

    @Matt, YC alum
    platform
    comments
    12
    likes
    108

    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

    @Erin, Investment Banking Associate , NYC
    platform
    comments
    254
    likes
    17

    "Feels effortless compared to reading. I’ve finished 6 books this month already."

    @djmikemoore
    platform
    star
    star
    star
    star
    star

    "BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

    @Pitiful
    platform
    comments
    96
    likes
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    "BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

    @SofiaP
    platform
    star
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    star

    "BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

    @Jaded_Falcon
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    "It is great for me to learn something from the book without reading it."

    @OojasSalunke
    platform
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    star
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    star

    "The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

    @Leo, Law Student, UPenn
    platform
    comments
    37
    likes
    483

    "Makes me feel smarter every time before going to work"

    @Cashflowbubu
    platform
    star
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    star
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    Списки чтения знаменитостей
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
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    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    Избранные темы
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    Лучшие книги по годам
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    Ключевые выводы

    1

    Welcome to Your AI-Powered Data Journey

    0:00

    Lena: Hey everyone, welcome back to BeFreed! I'm Lena, and I'm genuinely thrilled to dive into something that's been on so many of our minds lately-creating intelligent SQL agents that can actually understand our data and write code for us.

    0:14

    Eli: And I'm Eli! Oh man, Lena, this is going to be such a fascinating conversation. When I first heard about building BigQuery SQL agents in Microsoft Copilot that can work with actual data schemas, my mind immediately went to all these incredible possibilities. It's like we're finally bridging that gap between what we know about our data and what AI can do with it.

    0:34

    Lena: Exactly! And for everyone listening, we're going to explore how to create these intelligent agents that don't just generate generic SQL-they actually understand your department's specific data structures and can create meaningful, contextual code. This feels like we're standing at this incredible intersection of data architecture, AI capabilities, and practical business solutions.

    2

    Setting the Foundation: Understanding Our Data-Driven Challenge

    3

    The Architecture of Intelligence: Building Our SQL Agent

    4

    Deep Learning Meets Data Schema: The Technical Implementation

    5

    Performance Optimization: Learning from High-Performance .NET

    6

    The Data Architecture Challenge: Distributed Systems and Consistency

    7

    Ethical AI and Responsible Data Access

    8

    Advanced Techniques: Embeddings and Semantic Understanding

    9

    Integration Patterns: Making It Work with Existing Systems

    10

    The Future of Intelligent Data Interaction

    11

    Practical Implementation: Your Next Steps

    12

    Closing Reflections: The Transformation Ahead

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