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Spotify has absurd quantities of data. This is a huge asset, but it makes it difficult to power their frontline partnership team in Salesforce with the relevant cuts of that data they need. After struggling with both ad-hoc solutions and Salesforce consultant-led solutions, they've landed on a flexible, secure, and automated data strategy: they use dbt and Hightouch to refine critical data in Google BigQuery, sync updated records to Salesforce, and then close the loop for intelligence and analytics.

They'll share their optimal solution, with no caveats, for the real, everyday data issues that many teams encounter at scale with Salesforce.

Speaker: Tim Leonard Sr Insights Manager Spotify

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

Send us a text Welcome to another engaging episode of Datatopics Unplugged, the podcast where tech and relaxation intersect. Today, we're excited to host two special guests, Paolo and Tim, who bring their unique perspectives to our cozy corner. Guests of Today Paolo: An enthusiast of fantasy and sci-fi reading, Paolo is on a personal mission to reduce his coffee consumption. He has a unique way of measuring his height, at 0.89 Sams tall. With over two and a half years of experience as a data engineer at dataroots, Paolo contributes a rich professional perspective. His hobbies extend to playing field hockey and a preference for the warmer summer season.Tim: Occasionally known as Dr. Dunkenstein, Tim brings a mix of humor and insight. He measures his height at 0.87 Sams tall. As the Head of Bizdev, he prefers to steer clear of grand titles, revealing his views on hierarchical structures and monarchies.Topics Biz Corner: Kyutai: We delve into France's answer to OpenAI with Paolo Leonard, exploring the implications and future of Kyutai: https://techcrunch.com/2023/11/17/kyutai-is-an-french-ai-research-lab-with-a-330-million-budget-that-will-make-everything-open-source/GPT-NL: A discussion led by Bart Smeets on the Netherlands' own open language model and its potential impact: https://www.computerweekly.com/news/366558412/Netherlands-starts-building-its-own-AI-language-modelTech Corner: Data Quality Insights: A blog post by Paolo on data quality vs. data validation. We'll explore when and why data quality is essential, and evaluate tools like dbt, soda, deequ, and great_expectations: https://dataroots.io/blog/state-of-data-quality-october-2023Soda Data Contracts: An overview of the newly released OSS Data Contract Engine by Soda. https://docs.soda.io/soda/data-contracts.htmlFood for Thought Corner: Hare - A 100-Year Programming Language: Bart starts a discussion on the ambition of Hare to remain relevant for a century: https://harelang.org/blog/2023-11-08-100-year-language/.Join us for this mix of expert insights and light-hearted moments. Whether you're deeply embedded in the tech world or just dipping your toes in, this episode promises to be both informative and entertaining!

And, yes. There is a voucher, go to dataroots.io and navigate to the shop (top right) and use voucher code murilos_bargain_blast for a 25EUR discount!

Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move from your current expertise into one of the fastest growing areas of technology today. Data is the hottest word of the century, and data professionals are in high demand. You may already be a data professional such as a database administrator or business intelligence analyst. Or you may be one of the many people who want to work as a data professional, and are curious how to get there. Either way, this collection helps you understand how data professionals work, what makes them successful, and what they do to keep up. You’ll find interviews in this book with database administrators, database programmers, data architects, business intelligence professionals, and analytics professionals. Interviewees work across industry sectors ranging from healthcare and banking tofinance and transportation and beyond. Each chapter illuminates a successful professional at the top of their game, who shares what helped them get to the top, and what skills and attitudes combine to make them successful in their respective fields. Interviewees in the book include: Mindy Curnutt, Julie Smith, Kenneth Fisher, Andy Leonard, Jes Borland, Kevin Feasel, Ginger Grant, Vicky Harp, Kendra Little, Jason Brimhall, Tim Costello, Andy Mallon, Steph Locke, Jonathan Stewart, Joseph Sack, John Q. Martin, John Morehouse, Kathi Kellenberger, Argenis Fernandez, Kirsten Benzel, Tracy Boggiano, Dave Walden, Matt Gordon, Jimmy May, Drew Furgiuele, Marlon Ribunal, and Joseph Fleming. All of them have been successful in their careers, and share their perspectives on working and succeeding in the field as data and database professionals. What You'll Learn Stand out as an outstanding professional in your area of data work by developing the right set of skills and attitudes that lead to success Avoid common mistakes and pitfalls, and recover from operational failures and bad technology decisions Understand current trends and best practices, and stay out in front as the field evolves Break into working with data through database administration, business intelligence, or any of the other career paths represented in this book Manage stress and develop a healthy work-life balance no matter which career path you decide upon Choose a suitable path for yourself from among the different career paths in working with data Who This Book Is For Database administrators and developers, database and business intelligence architects, consultants, and analytic professionals, as well as those intent on moving into one of those career paths. Aspiring data professionals and those in related technical fields who want to make a move toward managing or analyzing data on a full-time basis will find the book useful. Existing data professionals who want to be outstanding and successful at what they do will also appreciate the book's advice and guidance.