While Microsoft Power BI has dominated the business intelligence market for years and is a go-to tool for creating visually appealing, interactive reports and dashboards, it's now an integral part of Microsoft Fabric, the end-to-end analytics platform that offers unprecedented flexibility and scalability for building enterprise-grade data analytics solutions. This book covers everything analytics engineers need to know to design and implement robust and efficient analytics solutions using Microsoft Fabric and Power BI. You'll learn the core components of Fabric, such as lakehouses, warehouses, and eventhouses, and how to work with semantic models, ensuring that data is structured and ready for analysis. You'll also discover essential techniques in both Microsoft Fabric and Power BI that you can apply in your day-to-day work. Explore the core components of Microsoft Fabric Implement, manage, and optimize Power BI semantic models Discover numerous architectural solutions with Microsoft Fabric and Power BI Build Fabric items such as lakehouses, warehouses, semantic models, and more, and share them within your organization Identify when to use a particular Fabric item or implement a particular design pattern Implement the analytics development lifecycle Optimize and fine-tune existing analytics solutions

Streamline your workflow with ESQL enhance data analysis with real-time insights, and speed up aggregations and visualizations Key Features Apply ESQL efficiently in analytics, observability, and cybersecurity Optimize performance and scalability for high-demand environments Discover how to visualize and debug ESQL queries Purchase of the print or Kindle book includes a free PDF eBook Book Description Built to simplify high-scale data analytics in Elasticsearch, this practical guide will take you from foundational concepts to advanced applications across search, observability, and security. It will help you overcome common challenges such as efficiently querying large datasets, applying advanced analytics without deep prior knowledge, and resolving for a unique and consolidated query language. Written by senior experts at Elastic with extensive field experience, this book delivers actionable guidance rooted in solving today’s data challenges at scale. After introducing ESQL and its architecture, the chapters explore real-world applications across various domains, including analytics, raw log analysis, observability, and cybersecurity. Advanced topics such as scaling, optimization, and future developments are also covered to help you maximize your ESQL capabilities. By the end of this book, you’ll be able to leverage ESQL for comprehensive data management and analysis, optimizing your workflows and enhancing your productivity with Elasticsearch. What you will learn Gain a solid understanding of ESQL and its architecture Use ESQL for data analysis and performance monitoring Apply ESQL in cybersecurity for threat detection and incident response Find out how to perform advanced searches using ESQL Prepare for future ESQL developments Showcase ESQL in action through real-world, persona-driven use cases Who this book is for If you’re an Elasticsearch user, this book is essential for your growth. Whether you’re a data analyst looking to build analytics on top of Elasticsearch, an SRE monitoring the health of your IT system, or a cybersecurity analyst, this book will give you a complete understanding of how ESQL is built and used. Additionally, database administrators, business intelligence professionals, and operational intelligence professionals will find this book invaluable. Even with a beginner-level knowledge of Elasticsearch, you’ll be able to get started and make the most of this comprehensive guide.

Unlock the potential of your BIM workflows with artificial intelligence and data visualization tools. This book provides guided instruction on using software like Revit, Dynamo, Python, and Power BI to automate processes, derive insights, and craft tailored dashboards that empower data-driven decisions in AEC projects. What this Book will help me do Effectively preprocess and manage BIM data for analysis and visualization. Design interactive and insightful dashboards in Power BI for project stakeholders. Integrate real-time IoT data and advanced analytics into BIM projects. Automate repetitive tasks in Revit using Dynamo and Python scripting. Understand the ethical considerations and emerging trends in AI for BIM. Author(s) Bruno Martorelli, a seasoned BIM manager, specializes in integrating technology and data analytics into construction workflows. With a background in architecture and programming, he bridges the gap between traditional methods and modern innovations. Bruno is dedicated to sharing practical strategies for data automation and visualization. Who is it for? This book is tailored for architects, engineers, and construction managers interested in elevating their BIM practices. If you're familiar with Revit and possess a basic understanding of data management, you'll find this resource invaluable. Beginners in Python or Power BI will also find accessible guidance to start applying advanced techniques in their workflows.

Unlock the secrets of practical data analysis with the Data Flow Map framework—a game-changing approach that transcends tools and platforms. This book isn’t just another programming manual; it’s a guide to thinking and communicating about data at a higher level. Whether you're working with spreadsheets, databases, or AI-driven models, you'll learn how to express your analytics in clear, common language that anyone can understand. In today’s data-rich world, clarity is the real challenge. Technical details often obscure insights that could drive real impact. The Data Flow Map framework simplifies complexity into three core motions: source, focus, and build. The first half of the book explores these concepts through illustrations and stories. The second half applies them to real-world datasets using tools like Excel, SQL, and Python, showing how the framework works across platforms and use cases. A vital resource for analysts at any level, this book offers a practical, tool-agnostic approach to data analysis. With hands-on examples and a universal mental model, you’ll gain the confidence to tackle any dataset, align your team, and deliver insights that matter. Whether you're a beginner or a seasoned pro, the Data Flow Map framework will transform how you approach data analytics. What You Will Learn Grasp essential elements applicable to every data analysis workflow Adapt quickly to any dataset, tool, or platform Master analytic thinking at a higher level Use analytics patterns to better understand the world Break complex analysis into manageable, repeatable steps Iterate faster to uncover deeper insights and better solutions Communicate findings clearly for better decision-making Who This Book Is For Aspiring data professionals and experienced analysts, from beginners to seasoned data engineers, focused on data collection, analysis, and decision making

Présentation des formations AI Software Development, Data Analytics et Data Science & AI

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Can You Pass This Data Analyst Interview? 🖥️ Build your own app with Replit: https://replit.com/refer/AveryData 👔 Mock Interview Platform: https://interviewsimulator.io 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator ⌚ TIMESTAMPS 00:28 — Question 1 02:54 — Question 2 04:53 — Question 3 08:08 — Where to do Interview Practice 08:54 — How to Build Cool Apps Like This  🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

As organizations aim to be more data-driven, integrated, scalable, and collaborative platforms are vital. Azure Databricks delivers unified data analytics for processing, AI, and real-time insights. Its full potential emerges within the integration with the Microsoft ecosystem. This session shows how Azure Databricks serves as the data and AI backbone while empowering users to leverage Microsoft solutions like Power BI, Power Apps and Microsoft Foundry for advanced, real-time decision-making.

Dive into the world of data analytics with 'SQL for Data Analytics'. This book takes you beyond simple query writing to teach you how to use SQL to analyze, interpret, and derive actionable insights from real-world data. By the end, you'll build technical skills that allow you to solve complex problems and demonstrate results using data. What this Book will help me do Understand how to create, manage, and utilize structured databases for analytics. Use advanced SQL techniques such as window functions and subqueries effectively. Analyze various types of data like geospatial, JSON, and time-series data in SQL. Apply statistical principles within the context of SQL for enhanced insights. Automate data workflows and presentations using SQL and Python integration. Author(s) The authors Jun Shan, Haibin Li, Matt Goldwasser, Upom Malik, and Benjamin Johnston bring together a wealth of knowledge in data analytics, database management, and applied statistics. Together, they aim to empower readers through clear explanations, practical examples, and a focus on real-world applicability. Who is it for? This book is aimed at data professionals and learners such as aspiring data analysts, backend developers, and anyone involved in data-driven decision-making processes. The ideal reader has a basic understanding of SQL and mathematics and is eager to extend their skills to tackle real-world data challenges effectively.

Master Microsoft Fabric from basics to advanced architectures with expert guidance to unify, secure, and scale analytics on real-world data platforms Key Features Build a complete data analytics platform with Microsoft Fabric Apply proven architectures, governance, and security strategies Gain real-world insights from five seasoned data experts Purchase of the print or Kindle book includes a free PDF eBook Book Description Microsoft Fabric is reshaping how organizations manage, analyze, and act on data by unifying ingestion, storage, transformation, analytics, AI, and visualization in a single platform. The Definitive Guide to Microsoft Fabric takes you from your very first workspace to building a secure, scalable, and future-proof analytics environment. You’ll learn how to unify data in OneLake, design data meshes, transform and model data, implement real-time analytics, and integrate AI capabilities. The book also covers advanced topics, such as governance, security, cost optimization, and team collaboration using DevOps and DataOps principles. Drawing on the real-world expertise of five seasoned professionals who have built and advised on platforms for startups, SMEs, and Europe’s largest enterprises, this book blends strategic insight with practical guidance. By the end of this book, you’ll have gained the knowledge and skills to design, deploy, and operate a Microsoft Fabric platform that delivers sustainable business value. What you will learn Understand Microsoft Fabric architecture and concepts Unify data storage and data governance with OneLake Ingest and transform data using multiple Fabric tools Implement real-time analytics and event processing Design effective semantic models and reports Integrate AI and machine learning into data workflows Apply governance, security, and compliance controls Optimize performance and costs at scale Who this book is for This book is for data engineers, analytics engineers, architects, and data analysts moving into platform design roles. It’s also valuable for technical leaders seeking to unify analytics in their organizations. You’ll need only a basic grasp of databases, SQL, and Python.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I wouldn't try to become a data analyst next here. Here's 4 reasons why and what I'd do instead. 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator ⌚ TIMESTAMPS 00:00 — Why the data job market is tough 00:36 — Worst states for data analysts 01:55 — Why these states rank low 04:11 — Best states (raw counts) for data analysts 06:08 — Jobs per capita explained 07:10 — Top states after normalization 09:35 — Slope chart breakdown 10:18 — What the normalized rankings mean 👨‍🎓 Featured Bootcamp Students: Moiz Noorali: https://www.linkedin.com/in/moiz-noorali/ Ani Mayilyan: https://www.linkedin.com/in/ani-mayilyan/ Mukta Pandey: https://www.linkedin.com/in/muktap2377210/ Amanda Ward: https://www.linkedin.com/in/amandawarddata/ Sebastian Wang: https://www.linkedin.com/in/zitong-wang-b06316284/ 📊 Intern with me: https://www.datacareerjumpstart.com/daa 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

While data analytics is often viewed as a highly technical field, one of its most challenging aspects lies in identifying the right questions to ask. Beyond the expected skills of summarizing data, building visualizations, and generating insights, analysts must also bridge the gap between complex data and non-technical stakeholders.

This presentation features a case study led by two women from the Research and Data Analytics team at the Minnesota Department of Labor and Industry. It illustrates the end-to-end process of transforming raw data to create a fully developed dashboard that delivers actionable insights for the department’s Apprenticeship unit.

We will share key challenges encountered along the way, from handling issues of data quality and accessibility to adapting the tool for the differing needs and expectations of new stakeholders. Attendees will leave with actionable strategies for transforming messy datasets into clear, impactful dashboards that drive smarter decision making.

🏆 Follow this roadmap w/ The Data Analytics Accelerator (My Bootcamp): https://datacareerjumpstart.com/daa ⌚ TIMESTAMPS 00:19 - Step 1: Skills 02:33 - Step 2: Data Roles 06:38 - Step 3: Projects 10:22 - Step 4: Portfolio 13:20 - Step 5: Resume & LinkedIn 17:59 - Step 6: Job Hunting 21:12 - Step 7: Interviews 22:53 - The SPN Method 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator  🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

AI and data analytics are transforming business, and your data career can’t afford to be left behind. 🎙️ In this episode of Data Career School, I sit down with Ketan Mudda, Director of Data Science & AI Solutions at Walmart, to explore how AI is reshaping retail, analytics, and decision-making—and what it means for students, job seekers, and early-career professionals in 2026.

We dive into: How AI is driving innovation and smarter decisions in retail and business Essential skills data professionals need to thrive in an AI-first world How AI tools like ChatGPT are changing the way analysts work What employers look for beyond technical expertise Strategies to future-proof your data career

Ketan also shares his journey from Credit Risk Analyst at HSBC to leading AI-driven initiatives at one of the world’s largest retailers.

Whether you’re starting your data career, exploring AI’s impact on business, or curious about analytics in action, this episode is packed with actionable insights, inspiration, and career guidance.

🎙️ Hosted by Amlan Mohanty — creator of Data Career School, where we explore AI, data analytics, and the future of work. Follow me: 📺 YouTube 🔗 LinkedIn 📸 Instagram

🎧Listen now to level up your data career!

Chapters 00:00 The Journey of Ketan Mudda05:18 AI's Transformative Impact on Industries12:49 Responsible AI Practices14:28 The Role of Education in Data Science23:18 AI and the Future of Jobs28:03 Embracing AI Tools for Success29:44 The Importance of Networking31:40 Curiosity and Continuous Learning32:50 Storytelling in Data Science Leadership36:22 Focus on AI Ethics and Change Management41:03 Learning How to Learn44:57 Identifying Problems Over Tools

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I wouldn't try to become a data analyst next here. Here's 4 reasons why and what I'd do instead. 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa ⌚ TIMESTAMPS 00:32 - Reason 1 not to be data scientist 03:22 - Reason 2 not to be data scientist 04:55 - Reason 3 not to be data scientist 07:33 - Reason 4 not to be data scientist 11:28 - What to do instead 🍿 OTHER EPISODES MENTIONED Data Analyst Roadmap: https://datacareerpodcast.com/episode/136-how-i-would-become-a-data-analyst-in-2025-if-i-had-to-start-over-again Get Paid to Learn Data: https://datacareerpodcast.com/episode/137-get-paid-1000s-to-master-data-analytics-skills-in-2025 Get You Master's Paid For (Thomas): https://datacareerpodcast.com/episode/128-meet-the-math-teacher-who-landed-a-data-job-in-60-days-thomas-gresco Get You Master's Paid For (Rachael): https://datacareerpodcast.com/episode/125-how-she-landed-a-business-intelligence-analyst-job-in-less-than-100-days-w-rachael-finch My review of Georgia Tech's Master's: https://datacareerpodcast.com/episode/38-masters-in-data-analytics-from-georgia-tech-is-it-worth-it 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I built you a free tool that matches you to open data jobs! I built it using a low-code analytics tool called KNIME. Learn how I built it & how you can build your own! 👔 Try the Resume to Job Match App: https://apps.hub.knime.com/d/AI_Job_Search~data-app:c0cff571-721d-4cd2-aca7-5f19505d7537/run?authToken=cVZoMmVVZmF3RkM4eG9HdXVDdWltWTlZbFJDdzRCTjc0TXBLaFIzY3JYSTpmT3FYZ3VWZ19OTHgwZExxMGZ1Ty1XMUxySFF0QmdYRXBOWllaSVVQRnZmbnRHdGlnWlJ1cS1lM2hlQk0tM3k0TE0taHk3b0ZyQTh2S0t2YWV4QkREdw== 💻 Download KNIME: https://www.knime.com/start?utm_source=youtube&utm_medium=influencer&utm_term=avery_smith&utm_content=video&utm_campaign=kapsquad 📈 Download the KNIME Workflow: https://hub.knime.com/knime/spaces/Data%20Apps/AI_Job_Search~IkoQH5UBhidlxnEt/current-state?utm_source=youtube&utm_medium=influencer&utm_term=avery_smith&utm_content=video&utm_campaign=kapsquad 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator ⌚ TIMESTAMPS 0:00 - Avery's notes about episode (audio only) 7:33 - Use this free tool to find data jobs 09:36 - What is low-code analytics & why is it important? 13:20 - How I built this tool (& you can too) 16:47 - The future of low-code data tools 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Seasoned experts Jeroen ter Heerdt, Madzy Stikkelorum, and Marc Lelijveld help you master visual calculations in Power BI for transformative data insights Microsoft Power BI Visual Calculations: Simplifying DAX is a comprehensive guide that demystifies the innovative feature of visual calculations in Power BI. Jeroen, a Principal Product Manager at Microsoft, Madzy, a Data Analytics Consultant, and Marc, a Microsoft Data Platform MVP, bring their extensive expertise to this book, offering you a practical approach to mastering visual calculations. The book is designed to simplify DAX, making it accessible to beginners and empowering you to transform raw data into actionable insights. You will learn to implement visual calculations, understand their benefits, and apply them effectively in real-world scenarios, ultimately enhancing your ability to make data-driven decisions. By reading this book, you will: Understand the fundamentals of visual calculations in Power BI Create your first visual calculation with step-by-step guidance Explore advanced concepts like resetting context in visual calculations Compare visual calculations with other Power BI calculation options Master the performance characteristics of visual calculations Utilize specific functions designed for visual calculations Implement practical use cases like running sums and moving averages Enhance visual calculations with regular DAX expressions Optimize operational processes using data-driven insights Unlock the full potential of Power BI for strategic decision-making About This Book For Power BI users who want to simplify DAX and unlock the full potential of visual calculations without the usual complexities For business executives, managers, and data enthusiasts looking to transform raw data into actionable insights for strategic decision-making

Présentation détaillée des formations et informations associées: Software & AI, Data Analytics, Data Science & AI et Growth Marketing. Informations sur les dispositifs de financement adaptés à votre projet et découverte de l'accompagnement personnalisé pour booster votre carrière après le bootcamp.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Data meets music 🎶 — Avery sits down with Chris Reba, a data analyst who’s studied over 1 million songs, to reveal what the numbers say about how hits are made. From uncovering Billboard chart fraud to exploring how TikTok reshaped music, this episode breaks down the art and science behind every beat. 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator ⌚ TIMESTAMPS 00:00 - Intro: How Chris analyzed 1M+ songs using data 01:10 - What data reveals about hit songs and music trends 03:30 - Combining qualitative and quantitative analysis 07:00 - The 1970s Billboard chart fraud explained 10:45 - Why key changes disappeared from modern pop 13:30 - How hip-hop changed song structure and sound 14:10 - TikTok’s influence on the music industry 16:10 - Inside Chris’s open-source music dataset 22:10 - Best tools for music data analysis (SQL, Python, Datawrapper) 27:45 - Advice for aspiring music data analysts 🔗 CONNECT WITH CHRIS 📕 Order Chris's Book: https://www.bloomsbury.com/us/uncharted-territory-9798765149911 📊 Check out Chris's Music Dataset: https://docs.google.com/spreadsheets/d/1j1AUgtMnjpFTz54UdXgCKZ1i4bNxFjf01ImJ-BqBEt0/edit?gid=1974823090#gid=1974823090 💌 Subscribe to Chris's' Newsletter: https://www.cantgetmuchhigher.com 📲 Follow Chris on TikTok: https://www.tiktok.com/@cdallarivamusic 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Learn how a small team at Dexcom used dbt to unify hundreds of global manufacturing data tables into 30 analytics-ready models—delivering sub-15-minute freshness and complex processing at scale. The result: faster, smarter manufacturing decisions that support the timely delivery of technology that has transformed how people manage diabetes and track their glucose.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I'll walk you through the exact data analyst job hiring pipeline from a hiring manager's perspective & show you how to NOT get rejected. 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa