talk-data.com
Activities & events
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Prague dbt Breakfast by STRV
2023-10-05 · 06:30
STRV is excited to bring the Czech-based dbt community together for the second time! Our morning meetup will shine a spotlight on data product success stories, so join us bright and early to explore strategies for boosting ROI from your data team using dbt. Great opportunity to connect with fellow analytics engineers and data enthusiasts, and even score some dbt swag. 🏠Venue Host: STRV, Rohanské nábřeží 678/23, Prague 186 00 🤝Organizer: STRV 🧍Hosts: Jozef Reginac from STRV, Michal Kolacek from Slido 📝Agenda
--- 🗣️Presentation #1: How to Deliver Data Products Fast With dbt Description: Ever been roped into a project at the last minute and asked to build an end-to-end solution by yesterday? Or you just joined a company and someone asked if you can SELECT * FROM some_ideal_clean_and_pristine.table_that_you_think_exists ? In this talk, I'll be discussing how to build data products fast, based on my general experience working with dbt at an enterprise company and a ludicrously stressful project that I worked on earlier this year. --- 🗣️Presentation #2: Cheater detection: tackling a moving target with data Description: The gaming industry is in constant battle with cheaters. To tackle this problem, it's crucial to leverage data and spark collaboration with product teams and developers. The talk aims to showcase the ongoing effort to detect cheating patterns and come up with counteractive measures to ensure a fair and enjoyable gaming experience for players. --- 🗣️Presentation #3: 27 clinics, 12 systems, 1 solution: integration using dbt Description: Data Integration: Join me for a lightning talk on how we used dbt to integrate 27 clinics in 8 countries with multiple diverse source systems, showcasing the power of efficient data management. — To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb EVENT DETAILS: Our venue has capacity limits, so please only RSVP if you intend to come. Reach out to [email protected] if you need to cancel last minute or change your RSVP status on the Meetup to "Not Going." By taking part in this event, you grant the event organizers, STRV, full rights to the use of images resulting from the photography/video filming, and any reproductions or adaptations of the images for fundraising, publicity, or other purposes. This might include (but is not limited to): the right to use them in printed and online publicity, social media, and press releases. If you do not wish to be photographed, please inform an event organizer during check-in. ➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝For the best Meetup experience, make sure to join the #local-czsk channel in dbt Slack (https://slack.getdbt.com/). dbt is a data transformation framework that lets analysts and engineers collaborate using their shared knowledge of SQL. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/ |
Prague dbt Breakfast by STRV
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Panel on Data in the Media Industry (RSVP in Event Description)
2023-07-20 · 20:00
Ever wondered what data jobs exist in the media industry? What it's like to work in audience analytics, as a data journalist, or business analytics at a publishing company? R-Ladies is hosting a panel to help answer these questions! Our panelists work at the New York Times, Bloomberg, and Penguin Random House, and they can provide insights around working as a data scientist in media. ***IMPORTANT NOTE ABOUT RSVPs*** Please RSVP using the following Google form (https://forms.gle/m1s47n3D11Qzt9cf9) so we can reach out to you about zoom link details closer to the event date. ---------------------------------------- Event Timeline ----------------------------------------
---------------------------------------- Speakers ---------------------------------------- Hayley Arader is the Director of Audience Analytics at the New York Times, where she leads a team in using data to better understand and reach our readers. Before the Times, she worked at Civis Analytics as a Data Scientist and then Data Science Lead, where she and her team supported political campaigns and organizations with modeling, targeting, ad testing, and message research. Hayley graduated from Harvard University with a BA in Government and Statistics, where her research focused on identity and voter behavior. From research to politics to media, Hayley has written a lot of R code, and spent way too much time with ggplot. Madeline Campbell is a data reporter at Bloomberg and she works on projects around the newsroom regardless of beat. Previously she worked in data science/analytics for a health research institute, tech company and political campaign. She is mostly a Python user but dabbles elsewhere. Sophia Tee is a seasoned data science professional with over a decade of experience in the industry. Currently, she is a Director of Data Science, where she leads efforts in marketing attribution and automation of advertising workflows. Sophia's journey into data science began when she transitioned from financial operations at a hedge fund to pursue a career that allowed her to make greater and more thoughtful impact. Since then, she has been deeply involved in creating and delivering data science initiatives. In addition to her professional contributions, Sophia is committed to supporting the next generation of data scientists. She enjoys mentoring younger professionals and helping aspiring data scientists develop the skills they need to succeed. ------------------------------------------------------------------------------------------------ R-Ladies is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. Please take a moment to review the R-Ladies Global code of conduct (particularly if this is your first time attending!): https://rladies.org/code-of-conduct For questions regarding accessibility, please email us at [email protected]. |
Panel on Data in the Media Industry (RSVP in Event Description)
|