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Anticipating the second edition of the Women+ in Data and AI Festival on September 27th, which celebrates the incredible contributions of women and gender minorities in the world of data and AI, we're hosting a series of warm-up meetups to give you a sneak-peek into the inspiring journeys, innovative ideas and topics of our speakers. While the stage belongs to women and gender minorities, we invite everyone, regardless of gender or technical background, to join our vibrant community!

Agenda:

6:30pm Check in, Food/Drinks and Networking

7:00pm

"Navigating the Data Mesh Journey: Key Takeaways" Renata Alvares Santos, TotalEnergies

Unlike traditional centralized data management approach, a data mesh decentralizes data ownership, promoting a more agile and scalable value creation. However, the journey to a successful data mesh implementation involves overcoming significant challenges. This presentation covers some lessons learned from the journey of implementing a Data Mesh-like data governance in a major Company.

7:35pm

"Data Contracts" Jochen Christ, INNOQ

Explore how AI is revolutionizing code writing and development, making it accessible to a broader audience. Learn about the trend of malleable applications, where users become architects, reshaping their apps to meet their unique needs.

8pm

Lightning Talk: "You are not a drop in the ocean" Nataliya Remez, Tink - A Visa solution

8:15pm Q&A and Networking

At this Meetup we will see two talks. Both will cover different topics, so there is sure to be plenty of inspiration to take away.

The Talks (details below):

- Data Mesh - Jochen Christ - Is Your Java Application Slow? Check Out These Open-Source Profilers - Johannes Bechberger

Location: INNOQ Aufgang C Ohlauer Str. 43 10999 Berlin

Doors Open: 18:00 Uhr Start: 18:30 Uhr

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Details:

Data Mesh

Data Mesh is a socio-technical approach to data management that enables teams to perform data analysis independently within their domain to make data-driven decisions. Data mesh promotes sharing data with other teams as data products and defined data contracts.

Data Mesh adopts the principles from Domain-driven Design, Team Topologies and Microservices to the data world. However, it has many organizational implications, such as ownership and federated governance.

In this talk, Jochen from INNOQ describe how a Data Mesh architecture can be implemented in practice, which organizational transformations will be necessary and which technologies are suitable in this context.

Jochen Christ

Jochen is a tech lead at INNOQ and a specialist for data mesh. Jochen works on datamesh-architecture.com, datacontract.com, and datamesh-manager.com.

--- Is Your Java Application Slow? Check Out These Open-Source Profilers

Profilers help to analyze performance bottlenecks of your application – if you know which to use and how to work with them.

There are many open-source profilers, like async-profiler or JMC. This talk will give you insights into these tools, focusing on understanding the basic concepts of profiling like flame graphs and more, the usage of async-profiler and JMC, and the advantages and disadvantages of the different tools.

The talk will end with personal insights into my profiler development and a successful profiling workflow that resulted from this.

Johannes Bechberger

Johannes Bechberger is a JVM developer working on profilers and their underlying technology in the SapMachine team at SAP. This includes improvements to async-profiler and its ecosystem, a website to view the different JFR event types, and improvements to the FirefoxProfiler, making it usable in the Java world. He started at SAP in 2022 after two years of research studies at the KIT in Java security analyses. His work today comprises many open-source contributions and his blog, where he writes regularly on in-depth profiling and debugging topics and works on his JEP Candidate 435 to add a new profiling API to the OpenJDK. Since 2023 he's touring the Java User Groups and conferences of Europe, like JavaZone and Devoxx Belgium to speak on various topics.