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Doltgres is a SQL database where you can branch, merge, diff, and commit data like you would with Git (and it is based on Postgres). Dolt will be at Postgres Meetup for All ready to talk about why they built it, how it works, and show off a demo or two on working with a database in a new way. If you saw their announcement spring were curious about it - this is the time to meet the team and find out more.

Tim Sehn, founder and CEO will be speaking first, with Zach Musgrave, Software Engineer supporting.

PyPeritivo: Easter Edition – A Festive Networking Aperitivo for Python and Data Enthusiasts After the great success of our Christmas gathering, we’re bringing PyPeritivo back—this time with a touch of spring! Join us on Thursday, April 17th, from 7:00 PM at PUNK (Via dei Durantini, 18, 00157 Rome), just a 10-minute walk from the Monti Tiburtini metro station, for a special Easter edition of our laid-back meetup for the PyData Rome community. No talks this time—just pure networking, relaxed conversations, and good vibes. It’s the perfect chance to meet fellow Pythonistas, data lovers, and tech folks in an informal, festive atmosphere. Let’s welcome spring, celebrate the season together, and share ideas (or just some laughs) over a drink. For €10, you'll enjoy an aperitivo that includes one drink and a tasty selection of food. This event is all about community—so drop by, say hi, and join the fun. Our regular talk events will be back in May, but for now, let’s connect, recharge, and enjoy the evening together. We’re looking forward to seeing you there! 🐣🌼✨

🏠Venue: dbt Labs office (915 Spring Garden St #500, Philadelphia, PA 19123) 🍕Catering: Paulie Gee's Pizza + Beer + Soda🤝Organizer: dbt Labs' Amy Chen (Product Ecosystem Manager), Drew Banin (Co-Founder) and Amada Echeverría (Community)

To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy

📝Agenda 5:30-6:15pm Check-in, name tags, grab swag, mingling6:15-6:35pm Talk with Amy Chen (dbt Labs)6:35-6:45 Q&A6:45-7:05 Talk with Drew Banin (dbt Labs)7:05-7:15 Q&A7:15-8:30 Networking 🍕🍻

🗣️Presentation Description: Description: In the dbt Labs on dbt series, you’ll learn how dbt Labs thinks about the role of data, how data developers collaborate with business leaders, and the technical decisions we’ve made in our own dbt project.

In this particular session, Amy Chen (https://www.linkedin.com/in/yuanamychen/), Product Ecosystem Manager at dbt Labs, will discuss their experience as a technical stakeholder at dbt Labs and how their first product launch ended up being a solution they were looking for for a while. Amy will share how they built a Snowflake Native app that extends dbt Cloud into Snowflake. (If you're looking to learn how to implement this, please note, only users with access to the SL can build something like this.)

Speaker bio:Amy Chen has been a data practitioner since 2019 and is now a Product Manager at dbt Labs. They spend a lot of their day trying to unnest through our adapter repositories and learning how to PM for the first time. They oversee cloud platform integrations to your favorite warehouse/database., Outside of the data world, they can be found touching rocks or petting fluffy cats.

---➡️ Join the dbt Slack community: https://www.getdbt.com/community/🤝For the best Meetup experience, make sure to join the #local-phl channel in dbt Slack ( https://slack.getdbt.com/ ).----------------------------------dbt is the standard in data transformation, used by over 30,000 organizations worldwide. 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/

🌷🌼🌸🌻🌿🌺🌱🌞🌈🦋🐝🍃🌞🌷🌼🌸🌻🌿🌺🌱🌞🌈🦋🐝🍃🌞🌷🌼🌸🌻 🌱🐍 Exciting News! PyData Cluj-Napoca 18th Spring Edition 🐍🌱 🌷🌼🌸🌻🌿🌺🌱🌞🌈🦋🐝🍃🌞🌷🌼🌸🌻🌿🌺🌱🌞🌈🦋🐝🍃🌞🌷🌼🌸🌻

We're thrilled to announce that the PyData Cluj-Napoca meetup is back with its 18th edition! After a brief hiatus, we're reviving our tech sessions, just like old times. As always, we have two engaging presentations lined up for you.

Join us for a social and informative evening – it's fantastic to be back!

---------------------------------------------------------------------------------------------------- "Improving the SQL code quality with SQLFLUFF rules" by Cristina Bocan

Nowadays the quantity of data that is processed daily has increased significantly compared to 15 years ago. The data engineers and data scientists, as well as the machine learning engineers, need to write complex SQL scripts to transform the data in the way it is required by the business. In this process of writing SQL scripts an important amount of time is taken by code review. Here the SQLFluff comes in place as a helpful tool for reducing the time spent on code review! SQLFluff is a code analyzer that checks for programmatic errors, stylistic errors or any kind of errors in a SQL script and has the ability to fix certain error types allowing the developers to focus on SQL developing part. It is implemented in Python and contains multiple sets of rules that are verified against SQL scripts. Apart of the already implemented rules it gives to the developer the possibility of implementing custom rules required by the business context. In this presentation I am going to present a particular business context in which creating a new rule was necessary and how I implemented this custom rule. Apart of that I will present how SQLFluff interacts with the SQL code and fixes it.

---------------------------------------------------------------------------------------------------- "Interactive data science for biotech: a case study on Alzheimer's research with R Shiny" by Oana Florean

Through this presentation I want to highlight the role of interactive data science in biotech research. Accessible data, real-time analysis, dynamic visualizations and collaborative work is what biotech researchers need. Recently, we had the opportunity to contribute to Alzheimer's research by developing a platform for biomarkers data exploration and analysis. As R is widely used in biotech, we embraced its versatility and developed in Shiny, a R library which makes possible the development of data science apps without much web development knowledge. We made accessible sophisticated statistical analysis to researchers, regardless of their coding proficiency. Join me to know how nicely an interactive dashboard can be created using Shiny straight from R and hear about its Python equivalent.

---------------------------------------------------------------------------------------------------- NumFOCUS Code of Conduct https://numfocus.org/code-of-conduct

Please register through the following link:

• https://redis.com/events-and-webinars/build-and-deploy-scalable-real-time-applications/

When Redis meets JSON, microservices, Clouds and Containers.

Join us for our next meetup in the Redis London office where we will showcase how easy it is to build real-time applications using Redis Stack, RedisInsight, JSON, and search.

We’ll show how to scale both Redis deployments and microservices – whether you’re using managed services on public cloud with Redis Enterprise Cloud, or retaining more architecture options and control with Kubernetes-based deployment and automation.

The meetup will consist of 2 sessions:

Session 1: Real-time scalable applications powered by Redis, JSON, Vector Similarity and Search

Get customers the data they need – faster.

Developers and architects who build applications turn to real-time search for the performance required to keep users happy – because the competition is always just a click away.

Speed up your applications with Redis’ real-time indexing, querying, and full-text search engine for JSON. Search and Query is a flexible indexing, query and search engine that delivers sub-millisecond results.

We’ll also touch on Redis’ vector similarity search capabilities. Search and Query integrates with Java with Lettuce, Jedis or even Spring Boot / Spring Data with easy-to-use object mapping and repository interfaces and annotations.

You will learn how Search and Query overcomes common application challenges, including:

• Ingest performance: To search fast, you need to ingest and index data fast for both key value and JSON, all powered by Redis’ in-memory architecture.
• Rich querying: Applications need current and immediately usable data. Discover how to combine queries, aggregation, full text search and vector similarity search in a cohesive, simple architecture.
• Speed and scalability: Redis Enterprise in-memory database scales across database shards and cluster nodes, providing high concurrency. It also includes data protection with persistence and backup built in.
• Be productive and run anywhere: Experiment on desktop with Redis Stack and RedisInsight, deploy to cloud in seconds, or to on-premises with Redis Enterprise.

Session 2: Microservices, Redis, Cloud and Kubernetes - patterns for deploying quickly, reliably and at-scale.

Deploying apps using the KubernetesAPI has made life easier for developers, especially when deploying across multiple regions or environments. But why stop there? Use the KubernetesAPI to provision and scale Redis databases as well, with the size, reliability and capabilities your app needs. – all fully automated so you can focus on your app rather than the infrastructure.

But that’s not all. In a distributed environment you need a lightweight, asynchronous way to communicate between applications – one that’s also scalable, resilient, and reliable. We’ll show how Redis Streams couples applications/microservices loosely, allowing graceful degradation and restore at the same time. That’s all while keeping data-duplication, bandwidth, and egress costs at a minimum.

Finally, as part of your journey to cloud, consider deploying Redis as a fully managed service. Discover the available options to deploy Redis natively to Google Cloud, Amazon, or Azure and see how to start right away with small caches, large databases with persistence, and Redis database with JSON/RediSearch support.

In this session you will learn:

• How to build resilient, scalable, and reactive applications using Redis Streams
• How to use Search and Query and JSON to go beyond basic caching scenarios
• How to provision and scale Redis databases using the Kubernetes API or your preferred cloud