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🌟 Session Overview 🌟

Session Name: Data Engineers: Respect the Resiliency of SQL Speaker: Rui Machado Session Description: In the ever-evolving data landscape, SQL's resilience shines, powering critical systems across all industries. Despite new technologies, SQL's core definition and manipulation language remains indispensable, evolving to meet modern demands. This talk explores why SQL endures, spotlighting its integration in innovative tools like dbt and DuckDB, which leverage SQL interfaces for advanced data processing. It will reveal some of the secrets behind SQL's lasting popularity and its pivotal role in the future of data engineering.

🚀 About Big Data and RPA 2024 🚀

Unlock the future of innovation and automation at Big Data & RPA Conference Europe 2024! 🌟 This unique event brings together the brightest minds in big data, machine learning, AI, and robotic process automation to explore cutting-edge solutions and trends shaping the tech landscape. Perfect for data engineers, analysts, RPA developers, and business leaders, the conference offers dual insights into the power of data-driven strategies and intelligent automation. 🚀 Gain practical knowledge on topics like hyperautomation, AI integration, advanced analytics, and workflow optimization while networking with global experts. Don’t miss this exclusive opportunity to expand your expertise and revolutionize your processes—all from the comfort of your home! 📊🤖✨

📅 Yearly Conferences: Curious about the evolution of QA? Check out our archive of past Big Data & RPA sessions. Watch the strategies and technologies evolve in our videos! 🚀 🔗 Find Other Years' Videos: 2023 Big Data Conference Europe https://www.youtube.com/playlist?list=PLqYhGsQ9iSEpb_oyAsg67PhpbrkCC59_g 2022 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEryAOjmvdiaXTfjCg5j3HhT 2021 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEqHwbQoWEXEJALFLKVDRXiP

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Welcome to another PyData Stockholm meetup! We're thrilled to kick off our post-summer meetup at Google Stockholm! NB! Do not signup via the meetup app, but use the Google link shared in this description instead! Please use this link to sign up - https://lnkd.in/dMZebv_r

In your first session explore a bit of SQL's history and why it endures, spotlighting its integration in innovative tools like dbt and DuckDB which leverage SQL interfaces for advanced data processing as well as how giants like Google are enabling Machine Learning in SQL through BigQuery. It will reveal some of the secrets behind SQL's lasting popularity and its pivotal role in data engineering's future.

Followed by an opportunity to mingle and take a break with your fellow members of meetup.

In your second session a speaker from Google will explore how you can support Data and AI foundations needs in today's world. Also, you will get a chance to listen in on the Google Cloud sovereign controls when it comes to Data and Analytics.

Join us for an exciting event featuring two thought-provoking talks on why SQL is still relevant along with Google's Data and AI foundations with Sovereign cloud.

AGENDA: 17:30 - 18:00 CEST Doors Open 18:00 - 18:10 CEST Welcome 18:10 - 18:40 CEST Why SQL is still relevant 18:40 - 19:10 CEST Pizza and Beers 19:10 - 19:40 CEST Data and AI Foundation with Google Sovereign Cloud 19:40 - 20:30 CEST Networking

Speakers: Rui Machado Rui is a Data and AI Consultant with 15 years of experience in data engineering and digital transformation. He recently authored “Analytics Engineering with SQL and dbt,” published by O'Reilly. Currently Vice-president of Data Engineering and Architecture at H&M, he has held data engineering and science leadership positions at companies such as Jumia, Nike, and Facebook. His career has taken him through Portugal, Belgium, and England. He holds a Master’s degree in Data Analytics, specializing in Machine Learning, and a Bachelor’s degree in Computer Science, contributing to his professional capabilities in data and engineering

Akansha Bhagwanani Akanksha Bhagwanani is a Data Analytics Specialist in EMEA Data Analytics Practice at Google Cloud. She has over 15 years of experience in the data analytics industry, and is passionate about helping businesses use data to make better decisions. In her role, Akanksha works with customers to understand their data needs, design and implement data solutions, and train their staff on how to use Google Cloud Platform's data analytics tools. She helps large enterprises adopt GCP to drive business outcomes through scalable data platforms. As part of her focus on data and analytics, Akanksha also has a keen interest in data governance and helps GCP customers adopt data governance in a hybrid and cloud first world.

About the event: Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge.

Please use this link to sign up - https://lnkd.in/dMZebv_r NB! Do not signup via meetup and use the Google link shared in this description instead!

Capacity: Space is limited. If you are signed up but unable to attend, please change your RSVP 2 days before the event. Food and drinks: Food and drinks are sponsored by Google. Questions: Please contact the meetup organizers. – Code of Conduct The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers.

With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL. Authors Rui Machado from Monstarlab and Hélder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence. With this book, you'll learn: What dbt is and how a dbt project is structured How dbt fits into the data engineering and analytics worlds How to collaborate on building data models The main tools and architectures for building useful, functional data models How to fit dbt into data warehousing and laking architecture How to build tests for data transformations